Showing posts with label Edge. Show all posts
Showing posts with label Edge. Show all posts

Tuesday, December 3, 2019

Verizon to offer 5G network edge computing with AWS Wavelength

Verizon will be the first carrier to offer the new AWS Wavelength service to provide developers the ability to deploy applications that require ultra-low latency to mobile devices using 5G.  The service targets latency-sensitive use cases like machine learning inference at the edge, autonomous industrial equipment, smart cars and cities, Internet of Things (IoT), and augmented and virtual reality. The idea is to position AWS compute and storage services at the edge of Verizon’s 5G network.

The companies are currently piloting AWS Wavelength on Verizon’s edge compute platform, 5G Edge, in Chicago for a select group of customers, including video game publisher Bethesda Softworks and the National Football League (NFL). Additional deployments are planned in other locations across the U.S. in 2020.

Verizon 5G Edge provides mobile edge computing and an efficient high-volume connection between users, devices, and applications. AWS Wavelength lets customers deploy the parts of an application that require ultra-low latency to the edge of the network and then seamlessly connect back to the full range of cloud services running in AWS.

AWS also listed Vodafone Business, KDDI, and SK Telecom as partners.



“We are first in the world to launch Mobile Edge Compute -- deeply integrating Verizon’s 5G Edge platform with Wavelength to allow developers to build new categories of applications and network cloud experiences built in ways we can’t even imagine yet,” said Hans Vestberg, CEO and Chairman of Verizon. “Bringing together the full capabilities of Verizon’s 5G Ultra Wideband and AWS, the world's leading cloud with the broadest and deepest services portfolio, we unlock the full potential of our 5G services for customers to create applications and solutions with the fastest speeds, improved security, and ultra-low latency.”

“We’ve worked closely with Verizon to deliver a way for AWS customers to easily take advantage of the ubiquitous connectivity and advanced features of 5G,” said Andy Jassy, CEO of AWS. “AWS Wavelength provides the same AWS environment -- APIs, management console, and tools -- that they’re using today at the edge of the 5G network. Starting with Verizon’s 5G network locations in the US, customers will be able to deploy the latency-sensitive portions of an application at the edge to provide single-digit millisecond latency to mobile and connected devices. ”

https://aws.amazon.com/wavelength/?hp=r

Microsoft and AT&T preview Network Edge Compute


Microsoft and AT&T announced select preview availability for Network Edge Compute (NEC) technology, which weaves Microsoft Azure cloud services into AT&T network edge locations closer to customers. NEC will initially be available for a limited set of select customers in Dallas. Next year, Los Angeles and Atlanta are targeted for select customer availability. NEC is enabled by AT&T’s software-defined and virtualized 5G core, which the...


Sunday, December 1, 2019

T-Systems launches its Edge Computing platform

Deutsche Telekom'a T-Systems division introduced EdgAir - its low-latency platform for secure and powerful edge computing.

EdgAIR, which is based on OpenStack, is an on-prem solution designed to be like "a private cloud of things" connected to the enterprise network. Customers can connect their IoT applications via ready-made connectors. The applications themselves run as virtual machines or in docker containers as microservices and are thus independent of the underlying infrastructure.  T- Systems offers the platform in various sizes and designs (pole mount, ruggedized rack, standard rack).

"In combination with Time Sensitive Networks (TSN) and a very good Service Level Agreement, our managed platform EdgAIR can meet requirements such as real-time control of machines in a production hall," explained Albert Kroisleitner, Senior Product Manager Edge Platform & Solutions at T-Systems.

Each EdgAIR platform is also delivered with Edge Analytics. This tool enables data scientists and software developers to evaluate information on site. And thus quickly adapt processes and models (code to data).

Deutsche Telekom has already built its first campus network for customer OSRAM. Such networks form the basis for EdgAIR. Currently running on LTE, they will soon switch to 5G.

https://www.telekom.com/en/media/media-information/archive/edgair-the-cloud-for-machines-586902

Wednesday, October 16, 2019

Pensado emerges from stealth, led by "MPLS" team from Cisco

Pensando Systems, a start-up based in San Jose, California, emerged from stealth to unveil its first product -- a software-defined edge services platform that was developed in collaboration with the world’s largest cloud, enterprise, storage, and telecommunications companies.

Pensando ("thinking" in Spanish) is led by Cisco’s legendary “MPLS” team — Mario Mazzola, Prem Jain, Luca Cafiero, Soni Jiandani and Randy Pond. Hewlett Packard Enterprise and Lightspeed Venture Partners led a Series C round to raise up to $145 million in funding. This will bring the total amount raised to $278 million after an earlier founder-led series A round of $71 million, and a customer-led series B round of $62 million. Cited customers, investors, and partners including HPE, Goldman Sachs, NetApp, and Equinix.

The Pensando platform is a custom programmable processor optimized to execute a software stack delivering cloud, compute, networking, storage and security services wherever data is located, all managed via its Venice Centralized Policy and Services Controller. The platform delivers highly programmable software-defined cloud, compute, networking, storage, and security services wherever data is located.


The platform promises an improved security posture through distributed network protection and east-west security. It offloads networking and security functions at wire speed to dedicated accelerators, and it is designed to scale to > 1000 tenants per server and >1M routes.

The company claims its capability means that cloud providers can now gain a technological advantage over the current market leader, Amazon Web Services Nitro, delivering 5-9x improvements in productivity, performance, and scale when compared to current architectures with no risk of lock-in.

The portfolio includes:

  • Naples 100 and Naples 25 cards for installation in standard servers. The Naples Distributed Services Card (DSC) delivers high-performance cloud, compute, networking, storage and security functions. 
  • Venice Centralized Policy and Services Controller - Centrally-managed enterprise-grade security and visibility at every level of the stack enables seamless distribution of all infrastructure services policies to active Naples nodes. In addition, Venice handles lifecycle management such as deploying in-service software upgrades to Naples nodes and delivers always-on telemetry, deep end-to-end observability, and operational simplicity across the environment. 

 “In less than 3 years we’ve assembled a best in class engineering team that are experts in building systems for the cloud, compute, networking, storage and security markets” said Prem Jain, CEO of Pensando Systems. “As a customer and partner first company we are focused on accelerating all aspects of our business as we go to market with a great ecosystem and a breakthrough platform.”

Pensando also announced that Mark Potter, chief technology officer of Hewlett Packard Enterprise (HPE), and Barry Eggers, a partner of Lightspeed Venture Partners, joined the board of directors, with John Chambers, CEO of JC2 Ventures, leading as chairman.

“It gives me great pleasure to welcome two new members to the Pensando board,” said John Chambers, Chairman of the Pensando Board of Directors. “I look forward to working closely with Mark and Barry as we focus on accelerating our operations and go-to-market activities.”

http://pensando.io

Wednesday, June 12, 2019

Akamai introduces its Edge Cloud

Akamai introduced its Edge Cloud for the delivery of data to connected devices and in-application messaging at scale.

Akamai says its Edge Cloud solution line provides global scale that other data platforms for IoT and messaging lack. Most vendors designed their networks to serve the early adopters where scale, manageability and performance were not necessarily a concern. As more use cases emerge for IoT and in-application messaging, such as Message Queuing Telemetry Transport (MQTT), the need to offer connectivity for billions of devices, real-time data delivery and capabilities that allow for easier data management are a requirement.

IoT Edge Connect, a new product within the Edge Cloud solution line, tackles these challenges head on by offering a secure framework. Both resource-constrained IoT devices and applications using MQTT for messaging can send or publish information about a given topic to a server that functions as an MQTT message broker.

IoT Edge Connect offers:

Scalability: IoT Edge Connect is architected to scale to support hundreds of millions of endpoints and 10-times more messages than other IoT or in-app messaging cloud solutions. The service reduces device battery drain and optimizes data delivery speed and volume.
Ease of use: Because the service is designed as one continuous global service (logical service) and is fully integrated with an all-in-one data stream, distributed database and a key value store, operations are simplified across the globe.
Security: End-to-end mutual authentication is designed to ensure secure communication between connected endpoints and the Akamai Edge Cloud, while the fully-managed solution also supports data isolation requirements.
Reliability: Businesses can easily and efficiently take advantage of MQTT. In fact, the service is the only International Standard Organization-compliant cloud broker of the major cloud providers with all three levels of Quality of Service (QoS).

With IoT Edge Connect, developers can enable low-latency interactions with millions of endpoints and process data in real-time. Customers using the service can reduce network, compute and database build out, reduce security breaches and improve manageability, avoiding the need to develop and maintain proprietary and costly IoT and in-app messaging networks.

“Akamai believes that we are offering the next generation of messaging with scalability, operational simplicity and security, providing a turn-key solution that allows customers to focus on their core business rather than integrating and managing discreet but necessary components for messaging,” said Lior Netzer, vice president and CTO, IoT, Akamai. “With the launch of IoT Edge Connect, we’re harnessing the power of the Edge and bringing it to the next frontier of connected devices and applications.”

Thursday, June 6, 2019

LF Edge marks first release of Akraino

LF Edge marked the first release of Akraino Edge Stack Release 1, which is an open source software stack for edge computing systems and applications.

LF Edge is part of the Linux Foundation.

“Akraino R1 represents the first milestone towards creation of a much-needed common framework for edge solutions that address a diverse set of edge use cases,” said Arpit Joshipura, general manager, Networking, Automation, Edge and IoT, the Linux Foundation. “With the support of experts from all across the industry, we are paving the way to enable and support future technology at the edge.”

Akraino is currently comprised of 11+ blueprint families with 19+ specific blueprints under development to support a variety of edge use cases. These blueprints include:

  • Radio Edge Cloud (REC), part of the Telco Appliance Blueprint Family, REC is a telco- grade edge cloud platform for  containers. It’s main use case is supporting the near real-time RAN Intelligent Controller, a new network element that enables external applications to control aspects of the 5G radio network. REC is the first example of the Telco Appliance Blueprint family which provides a reusable set of modules that will be used to create sibling blueprints for other purpose tuned near real time appliances.
  • Integrated Edge Cloud (IEC) Type 1 (Small Edge) & 2 (Medium Edge) is a platform that enables new functionalities and business models on the network edge. It targets telco applications with small and medium deployments of Edge Cloud and supports Arm processors and architecture.
  • The Network Cloud family of blueprints enables hardware configuration and fully automated deployment of multiple edge sites from a remote Regional Controller. Specific Network Cloud blueprints in R1 include Unicycle with SR-IOV; Unicycle with OVS-DPDK; and Rover, which supports multiple Telco and Enterprise edge use cases including 5G.
  • The StarlingX Far Edge Distributed Cloud blueprint addresses edge and far edge use cases at high-density locations such as malls, airports and sports stadiums to support value added services (such as caching, processing, and analyzing data) at these events and locations.
  • Edge Lightweight and IOT (ELIOT) supports use cases for IOT gateway and uCPE (SD-WAN). Addressing Industrial IoT, smart cities, and uCPE, ELIOT enables a lightweight software stack which can be deployed on edge nodes with limited hardware capacity.
  • The Kubernetes-Native Infrastructure (KNI) Provider Access Edge blueprint leverages best practices from Kubernetes to manage edge computing stacks at scale and with a consistent, uniform user experience from the infrastructure up to the workloads, on bare metal or public cloud.

https://www.lfedge.org/projects/akraino/release-1/

Linux Foundation targets Unified Open Source Framework for the Edge

The Linux Foundation is unifying a number of its projects into a new umbrella organization to establish an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system. The goal is the formation of a software stack that brings the best of telecom, cloud, and enterprise (representing location, latency and mobility differentiation).

LF Edge is initially comprised of five projects: Akraino Edge Stack, EdgeX Foundry, and Open Glossary of Edge Computing, formerly stand-alone projects at The Linux Foundation. The initiative also includes a new project contributed by Samsung Electronics, which will create a hub for real-time data collected through smart home devices, and another project from ZEDEDA, which is contributing a new agnostic standard edge architecture.

LF Edge is already supported by the following founding members: (Premier) Arm, AT&T, Baidu, Dell EMC, Dianomic Inc., Ericsson, HP Inc., HPE, Huawei, IBM, Intel, inwinStack, Juniper Networks, MobiledgeX, Netsia, Nokia Solutions, NTT, OSIsoft, Qualcomm Technologies, Radisys, Red Hat, Samsung Electronics, Seagate Technology, Tencent, WindRiver, Wipro, ZEDEDA; and (General) Advantech Co., Alleantia srl,  Beechwoods Software Inc., Canonical Group Limited, CertusNet, CloudPlugs Inc., Concept Reply, DATA AHEAD AG, Enigmedia, EpiSensor, Foghorn Systems Inc., ForgeRock US Inc., Foundries.io, Hangzhou EMQ Technologies Co. Ltd., IOTech Systems Ltd., IoTium, KMC, Linaro, Mainflux, Mocana, NetFoundry, Packet, Pluribus Networks, RackN, Redis Labs, VaporIO, Vitro Technology Corp., Volterra Inc., Wanxiang Group; and (Associate) Automotive Edge Computing Consortium (AECC), Beijing University of Posts and Telecommunications (BUPT), Electronics and Telecommunications Research Institute (ETRI), Infrastructure Masons, Inc., and Project Haystack.

More about LF Edge projects:

  • Akraino Edge Stack -- creating an open source software stack that supports high-availability cloud services optimized for edge computing systems and applications;
  • EdgeX Foundry -- focused on building a common open framework for IoT edge computing.
  • Home Edge Project -- seed code contributed by Samsung Electronics, is a new project that concentrates on driving and enabling a robust, reliable, and intelligent home edge computing framework, platform and ecosystem running on a variety of devices in our daily lives.
  • Open Glossary of Edge Computing -- provides a concise collection of terms related to the field of edge computing.
  • Project EVE (Edge Virtualization Engine) -- contributed by ZEDEDA, will create an open and agnostic standard edge architecture that accommodates complex and diverse on- and off-prem hardware, network and application selections.

Wednesday, May 29, 2019

Ethernity delivers Programmable Universal Edge Platform

Ethernity Networks introduced its ENET Universal Edge Platform (UEP) network appliance, an edge-optimized low-space, low-power FPGA-based programmable device with up to 40 Gbps of networking capacity and 10 Gbps of IPSec security performance.

Ethernity's UEP appliance is powered by a dual-core ARM processor that handles the control plane. It can be used as a standalone high-end Network Interface Device that offers rich routing and IPSec security functionalities. The ENET UEP contains an interchangeable mezzanine card that enables the appliance to be designed for XGS-PON connectivity for placement at cellular base stations, to support G.fast for distribution point unit and multi-dwelling unit deployment, or to support Internet of Things (IoT) aggregation elements, for example, a radio modem for the IoT sensor network.

The main board of the ENET UEP comes with two SFP+ interfaces that can be equipped with 10GbE or XGS-PON transceivers, and an FPGA equipped with Ethernity’s ENET Flow Processor, implementing a complete Carrier Ethernet switch, hierarchical QoS, router, IPSec, and optional XGS-PON MAC.

The default ENET UEP offers 8 x 1Gb RJ45 ports in the mezzanine card, but can be designed to support G.fast, enterprise Power over Ethernet (PoE) solutions, radio interfaces, or additional connectivity via GbE/10GbE. The ENET UEP also comes with a unique PCIe connection to any standard server, enabling it to be used for NFVI acceleration.

“After many years of delivering Carrier Ethernet over low-cost, low-power FPGAs, it is exciting to have customers requesting that we apply our field-proven expertise and patented technology to a comprehensive solution for the network edge,” said Shavit Baruch, VP of R&D at Ethernity Networks. “The ENET UEP is the perfect application for our 5G, mobile backhaul and Ethernet access products as a complement to our customers’ solutions in the central office.”

Monday, May 27, 2019

NVIDIA unveils EGX Edge Computing Platform

NVIDIA introduced its EGX edge computing platform for performing low-latency AI on continuous streaming data between 5G base stations or other edge locations.

NVIDIA said EGX was created to perform instantaneous, high-throughput AI where data is created – with guaranteed response times, while reducing the amount of data that must be sent to the cloud.

“Enterprises demand more powerful computing at the edge to process their oceans of raw data — streaming in from countless interactions with customers and facilities — to make rapid, AI-enhanced decisions that can drive their business,” said Bob Pette, vice president and general manager of Enterprise and Edge Computing at NVIDIA. “A scalable platform like NVIDIA EGX allows them to easily deploy systems to meet their needs on premises, in the cloud or both.”

EGX begins with the tiny NVIDIA Jetson Nano, which delivers one-half trillion operations per second (TOPS) of processing in only a few watts, and scales all the way to a full rack of NVIDIA T4 servers, delivering more than 10,000 TOPS.

EGX servers are available from global enterprise computing providers ATOS, Cisco, Dell EMC, Fujitsu, Hewlett Packard Enterprise, Inspur and Lenovo. They are also available from major server and IoT system makers Abaco, Acer, ADLINK, Advantech, ASRock Rack, ASUS, AverMedia, Cloudian, Connect Tech, Curtiss-Wright, GIGABYTE, Leetop, MiiVii, Musashi Seimitsu, QCT, Sugon, Supermicro, Tyan, WiBase and Wiwynn.

NVIDIA EGX servers are tuned for NVIDIA Edge Stack and NGC-Ready validated for CUDA-accelerated containers.

NVIDIA has partnered with Red Hat to integrate and optimize NVIDIA Edge Stack with OpenShift. NVIDIA Edge Stack is optimized software that includes NVIDIA drivers, a CUDA Kubernetes plugin, a CUDA container runtime, CUDA-X libraries and containerized AI frameworks and applications, including TensorRT, TensorRT Inference Server and DeepStream.

NVIDIA is also promoting “On-Prem AI Cloud-in-a-Box”, which combines the full range of NVIDIA AI computing technologies with Red Hat OpenShift and NVIDIA Edge Stack together with Mellanox and Cisco security, networking and storage technologies.

“Mellanox Smart NICs and switches provide the ideal I/O connectivity for data access that scale from the edge to hyperscale data centers,” said Michael Kagan, chief technology officer at Mellanox Technologies. “The combination of high-performance, low-latency and accelerated networking provides a new infrastructure tier of computing that is critical to efficiently access and supply the data needed to fuel the next generation of advanced AI solutions on edge platforms such as NVIDIA EGX.”

“Cisco is excited to collaborate with NVIDIA to provide edge-to-core full stack solutions for our customers, leveraging Cisco’s EGX-enabled platforms with Cisco compute, fabric, storage, and management software and our leading Ethernet and IP-based networking technologies,” said Kaustubh Das, vice president of Cisco Computing Systems.

https://nvidianews.nvidia.com/news/nvidia-launches-edge-computing-platform-to-bring-real-time-ai-to-global-industries

Wiwynn offers edge server based on OCP OpenEDGE

Taiwan-based Wiwynn introduced an Edge Platform based on the Nokia-led OCP OpenEDGE specification.

Wiwynn EP100 is a 3U edge system that supports up to five 1U half-width servers and can flexibly configure with 2U half-width and 1U full-width server sleds. Communication service providers can also scale computing power by adding more EP100 systems for applications ranging from base stations to regional central offices.

“We are thrilled to embrace edge cloud opportunities in the 5G era by applying Open Compute Project (OCP) hardware and initiating an open firmware development kit,” said Dr. Sunlai Chang, Senior Vice President and CTO of Wiwynn. “Wiwynn EP100 enables communication service providers to address diverse low-latency data processing demands of Cloud RAN and modern central offices with a flexible and high-efficiency architecture at a balanced cost.”

“Nokia AirFrame open edge launched April 2018 welcomes Wiwynn’s adoption of the Nokia led OCP OpenEDGE specification, with this announcement of a new equipment provider for enclosure and sled designs. Wiwynn’s contribution to OCP OpenEDGE is an important step forward in the creation of a healthy ecosystem and providing Far Edge Data Center Equipment consumers with multi-source procurement options to avoid vendor lock-in,” said Hannu Nikurautio, Head of Cloud RAN Product Management of Nokia.

Sunday, May 19, 2019

Openreach deploys ADVA's demarc gateway for 5G Small Cell rollout

Openreach, the infrastructure division of BT Group, is deploying the ADVA FSP 150-GO102Pro Series cell site gateway to enable mobile network operators (MNOs) to roll out small cell services throughout the UK.

Openreach will house the compact edge demarcation product in street furniture access points to support its Street Access service. The MEF 3.0-certified gateway will support Openreach’s 1Gbit/s Carrier Ethernet and IP services and deliver the precise phase synchronization needed for 5G mobile connectivity.

The ADVA FSP 150-GO102Pro, which is billed as the world’s smallest cell site gateway device, delivers precise time and frequency synchronization. It features automated testing and in-service monitoring and is available in two sizes. A hardened housing is sealed against water, moisture, and dust.

ADVA says this single device with standardized software-defined networking (SDN) interfaces offers a unique combination of Carrier Ethernet and IP features together with the advanced synchronization capabilities required for emerging technologies such as LTE-Advanced and 5G. The ADVA FSP 150-GO102Pro features a comprehensive set of protocols and tools for fast and efficient service activation, testing and monitoring.

With multi-layer Carrier Ethernet and IP integration, service lifecycle management and precise, assured distribution of phase and frequency synchronization, the ADVA FSP 150-GO102Pro ensures that Openreach can cover a wide range of applications with a single
demarcation product. In addition, the ADVA FSP 150-GO102Pro offers open programming interfaces, supporting bandwidth slicing, and provides deployment flexibility through moisture resistance, extended temperature range and power-over-Ethernet support.

“The ADVA FSP 150-GO102Pro is a key tool in our drive to address urgent small cell challenges. Its design and feature set enables us to roll out the highly efficient mobile backhaul architecture we need to support our 1Gbit/s Street Access product as well as LTE Advanced and 5G services,” said Mark Logan, product director, Openreach. “The ADVA FSP 150-GO102Pro requires no expensive air conditioning system. It also has an extremely compact form factor coupled with a design ruggedized to withstand harsh conditions, making it ideal for deployment in lampposts and street cabinets. And, despite being the smallest network terminating equipment solution on the market, the ADVA FSP 150-GO102Pro provides true carrier-class capabilities including automated testing, in-service monitoring and full phase sync support.”

https://www.advaoptical.com/

Wednesday, May 15, 2019

LF Edge announces Project EVE Seed Code

LF Edge, an umbrella organization within the Linux Foundation that aims to establish an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system, announced Project Edge Virtualization Engine (EVE) seed code contributed by LF Edge founding member ZEDEDA.

With Project EVE, edge gateways and devices run a variety of edge workloads simultaneously, decoupling application management from the underlying hardware. Applications can be deployed in standard virtual machines (VM) or container environments and be managed through a standard set of APIs.

“With Project EVE, the goal is to create a single virtualization standard for edge devices for the industry to build around so that we can enjoy the benefits of cloud-native applications sooner rather than later,” said Said Ouissal, co-founder and CEO of ZEDEDA. “Imagine how much more impact we can achieve now that edge applications can be reliably managed and secured.”

Additionally, LF Edge welcomes new Associate and Liaison member organizations Industrial Internet Consortium (IIC), the LIONS Center at the Pennsylvania State University, OTAinfo, and University of New Hampshire’s Interoperability Lab (UNH-IOL).

"We are excited to see the LF community continue to collaborate on building unified edge solutions,” said Arpit Joshipura, general manager,  Networking, IoT and Edge Computing, the Linux Foundation. “We appreciate ZEDEDA’s leadership in helping us advance On-Prem Edge IoT with initiatives like Project EVE, and are eager to showcase the broad capabilities of LF Edge onsite in Santa Clara while welcoming our newest members."

Linux Foundation targets Unified Open Source Framework for the Edge

The Linux Foundation is unifying a number of its projects into a new umbrella organization to establish an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system. The goal is the formation of a software stack that brings the best of telecom, cloud, and enterprise (representing location, latency and mobility differentiation).

LF Edge is initially comprised of five projects: Akraino Edge Stack, EdgeX Foundry, and Open Glossary of Edge Computing, formerly stand-alone projects at The Linux Foundation. The initiative also includes a new project contributed by Samsung Electronics, which will create a hub for real-time data collected through smart home devices, and another project from ZEDEDA, which is contributing a new agnostic standard edge architecture.

“The market opportunity for LF Edge spans industrial, enterprise and consumer use cases in complex environments that cut across multiple edges and domains. We’re thrilled with the level of support backing us at launch, with 60 global organizations as founding members and new project contributions,” said Arpit Joshipura, general manager, the Linux Foundation. “This massive endorsement, combined with existing code and project contributions like Akraino from AT&T and EdgeX Foundry from Dell EMC, means LF Edge is well-positioned to transform edge and IoT application development.”

LF Edge is already supported by the following founding members: (Premier) Arm, AT&T, Baidu, Dell EMC, Dianomic Inc., Ericsson, HP Inc., HPE, Huawei, IBM, Intel, inwinStack, Juniper Networks, MobiledgeX, Netsia, Nokia Solutions, NTT, OSIsoft, Qualcomm Technologies, Radisys, Red Hat, Samsung Electronics, Seagate Technology, Tencent, WindRiver, Wipro, ZEDEDA; and (General) Advantech Co., Alleantia srl,  Beechwoods Software Inc., Canonical Group Limited, CertusNet, CloudPlugs Inc., Concept Reply, DATA AHEAD AG, Enigmedia, EpiSensor, Foghorn Systems Inc., ForgeRock US Inc., Foundries.io, Hangzhou EMQ Technologies Co. Ltd., IOTech Systems Ltd., IoTium, KMC, Linaro, Mainflux, Mocana, NetFoundry, Packet, Pluribus Networks, RackN, Redis Labs, VaporIO, Vitro Technology Corp., Volterra Inc., Wanxiang Group; and (Associate) Automotive Edge Computing Consortium (AECC), Beijing University of Posts and Telecommunications (BUPT), Electronics and Telecommunications Research Institute (ETRI), Infrastructure Masons, Inc., and Project Haystack.

More about LF Edge projects:

  • Akraino Edge Stack -- creating an open source software stack that supports high-availability cloud services optimized for edge computing systems and applications;
  • EdgeX Foundry -- focused on building a common open framework for IoT edge computing.
  • Home Edge Project -- seed code contributed by Samsung Electronics, is a new project that concentrates on driving and enabling a robust, reliable, and intelligent home edge computing framework, platform and ecosystem running on a variety of devices in our daily lives.
  • Open Glossary of Edge Computing -- provides a concise collection of terms related to the field of edge computing.
  • Project EVE (Edge Virtualization Engine) -- contributed by ZEDEDA, will create an open and agnostic standard edge architecture that accommodates complex and diverse on- and off-prem hardware, network and application selections.

Sunday, May 5, 2019

Microsoft Azure adds intelligent edge capabilities

Microsoft Azure announced new intelligent edge capabilities"

Azure SQL Database Edge – A small footprint database engine optimized for the edge, with AI built-in. The new offering brings support for Arm and x64-based interactive devices and edge gateways. It provides low latency analytics on the edge by combining data streaming and time-series, with in-database machine learning and support for graph data. It also delivers a common programming surface area across Azure SQL Database, SQL Server on-premises, and Azure SQL Database Edge. Azure SQL Database Edge support both cloud connected and fully disconnected edge scenarios.

IoT Plug and Play –  a new, open modeling language to connect IoT devices to the cloud without writing code. IoT Plug and Play enabled devices are listed in the Azure IoT Device Catalog

https://azure.microsoft.com/en-us/blog/intelligent-edge-innovation-across-data-iot-and-mixed-reality/

Monday, April 22, 2019

Fastly files for IPO -- edge cloud

Fastly, a start-up offering an edge cloud with global reach, filed an S-1 registration statement with the U.S. Securities and Exchange Commission relating to a proposed initial public offering of its Class A common stock.

Fastly intends to list its Class A common stock on The New York Stock Exchange under the ticker symbol “FSLY.”

Fastly operates a network of high-density servers with SSDs located at major peering points around the world. The servers operate as high-performance caches. Key server specs: 24 TB of SSDs, 768 GB of RAM, and 4x 25Gbps network interface cards. Fastly peers with other Internet Service Providers (ISPs) and Content Networks with IPv4 and IPv6 connectivity on Autonomous System (AS) 54113. As of February 2019, the company reported 37.5 Tbps of connected global capacity.

Investors in Fastly include Amplify Partners, August Capital, Battery Ventures, Deutsche Telekom Capital Partners (DTCP), Iconiq Capital, O’Reilly AlphaTech Ventures, Ridge Ventures (fka IDG Ventures USA), Sapphire Ventures, Sorenson Capital, Sozo Ventures and Swisscomm Ventures.

Thursday, March 28, 2019

Microsoft releases Azure Data Box family

Microsoft announced general availability of its Azure Data Box Edge and the Azure Data Box Gateway for on-premise deployment.

Data Box Edge, which is described as an on-premises anchor point for Azure, is offered on a pay-as-you-go basis, just like any other Azure service and the hardware is included. This 1U rack-mountable appliance provides:

  • Local Compute – Run containerized applications at your location. Use these to interact with your local systems or to pre-process your data before it transfers to Azure.
  • Network Storage Gateway – Automatically transfer data between the local appliance and your Azure Storage account. Data Box Edge caches the hottest data locally and speaks file and object protocols to your on-premises applications.
  • Azure Machine Learning utilizing an Intel Arria 10 FPGA - Use the on-board Field Programmable Gate Array (FPGA) to accelerate inferencing of your data, then transfer it to the cloud to re-train and improve your models. Learn more about the Azure Machine Learning announcement.
  • Cloud managed – Easily order your device and manage these capabilities for your fleet from the cloud using the Azure Portal.

Data Box Gateway is also available as a standalone virtual appliance on a pay-as-you-go basis. It can be provisioned it in a hypervisor, using either Hyper-V or VMware, and managed through the Azure Portal. Server message block (SMB) or network file system (NFS) shares will be set up on the local network. Data landing on these shares will automatically upload to your Azure Storage account, supporting Block Blob, Page Blob, or Azure Files. We’ll handle the network retries and optimize network bandwidth for you. Multiple network interfaces mean the appliance can either sit on your local network or in a DMZ, giving your systems access to Azure Storage without having to open network connections to Azure.

In addition to Data Box Edge and Data Box Gateway, Azure announced three sizes of Data Box for offline data transfer:

Data Box – a ruggedized 100 TB transport appliance
Data Box Disk – a smaller, more nimble transport option with individual 8 TB disks and up to 40 TB per order
Data Box Heavy Preview - a bigger version of Data Box that can scale to 1 PB.

Tuesday, February 26, 2019

AT&T tests Microsoft Azure edge cloud capabilities

AT&T is working with Microsoft to test Azure cloud capabilities at the edge of the AT&T 5G network.

The testing aims to substantially reduce latency and improve user experience by deploying advanced cloud services in specific geographic locations closer to business sites.

Specifically for this trial, network edge compute (NEC) capabilities are deployed at the AT&T Foundry in Plano, Texas. The companies are working with Israel-based Vorpal, a start-up building a drone detection and geolocation tracking solution. The service can be useful to commercial drone monitoring, airports, public safety law enforcement agencies and others needing the ability to identify drone and operator locations in near-real time, enhancing monitoring and mitigation.

“We’re creating new ways for our customers to directly access a multitude of cloud options closer to where they do business,” said Mo Katibeh, chief marketing officer, AT&T Business. “Using the blazing speeds of our fiber, LTE and 5G mobile connections, we’re paving the way for how low-latency pathways to cloud services like Microsoft Azure can accelerate business transformation – for both enterprise and small business applications.”

Yousef Khalidi, corporate vice president, Azure Networking, Microsoft Corp. said, “Our collaboration will pave the way to enable Microsoft Azure cloud services to connect to more customers and devices across the U.S. through AT&T’s nationwide wireless network.  Our two companies are working together to achieve the low latency connectivity needed for the explosion of devices and immense amount of data being created by computing at the edge.”

AT&T outlines three pillars of 5G in business

AT&T is pursuing a three-pillar approach for 5G business solutions including:

Mobile 5G - AT&T is on track to launch a standards-based nationwide mobile 5G network in early 2020, with seamless handoffs between Wi-Fi, LTE and 5G. The network is currently active in parts of the 12 cities.

Fixed Wireless - within the next few weeks, AT&T Wireless Broadband will offer multiple speed tiers up to 50 Mbps. This solution builds on AT&T's fiber distribution -- over 8 million business customer locations sit within 1,000 feet of the company's fiber/ Nearly 2.2 million locations are currently connect with fiber today.

Edge Computing -- AT&T Multi-access Edge Compute (MEC) uses the software-defined network to enable faster access to data processing, and gives flexibility in how businesses manage their cellular traffic through on-premise hardware and software. With MEC, businesses can process low-latency, high-bandwidth applications closer to where they’re used to help create new outcomes and capabilities.

Tuesday, February 19, 2019

Deutsche Telekom deploys MobiledgeX Edge-Cloud

MobiledgeX, the edge computing company founded by Deutsche Telekom AG, unveiled its architecture for connecting mobile users to application cloud containers created by aggregating existing operator network resources.

Deutsche Telekom is now using the MobiledgeX Edge-Cloud R1.0 to power the first world's first public mobile edge network deployment and is already supporting the prototyping of developer use cases such as live trials around Augmented Reality (AR), Mixed Reality (MR), and Simultaneous Localization and Mapping (SLAM).

The solution MobiledgeX Edge-Cloud R1.0 leverages application cloud containers created by aggregating existing operator network resources. At runtime, MobiledgeX Edge-Cloud R1.0 spins up the containers on-demand in edge cloud locations (also known as “cloudlets”) that optimally fulfill the needs of the desired application and user quality of experience.

“Deutsche Telekom is proud to lead a global effort toward a smart, mobile, digital society and recognizes that ubiquitous edge availability is the foundation for this vision. For operators, Edge-Cloud R1.0’s ability to quickly aggregate existing 4G and 5G resources and make them available anywhere they are needed across the network means an extremely low barrier to entry for scalable edge deployments that can be immediately monetized. When edge networks are deployed widely, developers and device makers can more easily define business and use cases for new offerings that can be rolled out across a large number of users. The milestone announced today is an important moment not just for Deutsche Telekom and MobiledgeX, but the broader mobile ecosystem eager to capitalize on the massive edge opportunity in the lead-up to 5G,” stated Walter Goldenits, CTO of Telekom Deutschland in Germany.

Key features of MobiledgeX Edge-Cloud R1.0:

  • Device and platform-independent SDKs for Android and IOS devices in Java, C++, C# or REST that support edge node discovery, built-in identity and verified location services, with the ability to connect automatically to the nearest edge location. MobiledgeX will release these SDKs as open source to speed development times and flexibility.
  • A Distributed Matching Engine (DME) that is natively borne and integrated into Telekom Deutschland’s mobile network in Germany. The DME allows developers to ensure the identity and location of application users while guaranteeing their privacy as this data remains within the boundaries of the mobile service provider and is not disclosed to MobiledgeX.
  • A fully multi-tenant control plane that supports zero-touch provisioning of edge cloud resources via a Cloudlet Resource Manager. This architecture is massively scalable based on the number of distributed edge cloud locations and enables the operator to bring any combination of compute, storage and network resource pools to add to capacity independently of a preferred Virtualization Infrastructure Management (VIM) layer. For example, while Deutsche Telekom edge cloud resource pools are virtualized using OpenStack, MobiledgeX Edge-Cloud R1.0 equally supports other industry- standard VIMs such as VMware or native Kubernetes.
  • A global edge cloud SAAS portal that allows operators to visualize application delivery performance and developers to deploy their application containers.



MobiledgeX is highlighting the following use cases :

  • Automatically deploying application backends close to users based on their Verified Location and Identity. MobiledgeX Edge-Cloud R1.0 instantiates application containers to support streaming workloads similar to lambda functions ideally suited for increasingly immersive and massively multi-user workloads like multi-player gaming, robotics and AR maintenance that must ascertain trusted identity and location. The built-in “verified location” service automatically correlates GPS-reported location from the device using telemetry extracted from the mobile service provider’s infrastructure and directs mobile client to appropriate edge location.
  • Augmented Reality and Mixed Reality Performance Support. Makes lower latency available natively in the mobile network and geographically closer to end user devices. Enables AR and MR experiences on smart glasses or wearables where these devices do not natively provide the required CPU and GPU hardware capabilities, either due to cost, weight or power consumption reasons.
  •  Video and Image Processing that meets local privacy regulations. Platform guarantees in- country containment and privacy of user data, offering country-specific control planes that ensure country-specific applications and data remain in the country to satisfy GDPR and other privacy regulations.

Deutsche Telekom's MobiledgeX venture aligns with SK Telecom


MobiledgeX, the independent mobile edge computing provider founded by Deutsche Telekom, announced an agreement with SK Telecom to enable a new generation of connected devices, content and experiences, creating new business models and revenue opportunities leading into 5G.

MobiledgeX is focused on delivering developer-facing edge cloud services and bringing mobility to those services, dynamically placing application back-end as close to mobile devices as possible and removing them when not needed. MobiledgeX, Deutsche Telekom and Intel have partnered with Telecom Infra Project (TIP) to form an Edge Application Developer project group to ensure the gained insights and supporting source code are available to all.

"Deutsche Telekom created MobiledgeX as an independent company to drive strategic collaboration across the world’s leading telecoms, public cloud providers, device makers and the surrounding ecosystem - enabling a new era of business models, operating efficiencies and mobile experiences. We are particularly excited to announce SK Telecom’s participation in this collaborative ecosystem where everybody wins. SK Telecom is a global leader in 5G which follows their rich tradition of innovation within their network, strategic partnerships and developer engagement. This new era is underway,” says Eric Braun, Chief Commercial Officer of MobiledgeX.

Thursday, December 13, 2018

Deutsche Telekom's MobiledgeX venture aligns with SK Telecom

by James E. Carroll

MobiledgeX, the independent mobile edge computing provider founded by Deutsche Telekom, announced an agreement with SK Telecom to enable a new generation of connected devices, content and experiences, creating new business models and revenue opportunities leading into 5G.

MobiledgeX is focused on delivering developer-facing edge cloud services and bringing mobility to those services, dynamically placing application back-end as close to mobile devices as possible and removing them when not needed. MobiledgeX, Deutsche Telekom and Intel have partnered with Telecom Infra Project (TIP) to form an Edge Application Developer project group to ensure the gained insights and supporting source code are available to all.

Deutsche Telekom created MobiledgeX as an independent company to drive strategic collaboration across the world’s leading telecoms, public cloud providers, device makers and the surrounding ecosystem - enabling a new era of business models, operating efficiencies and mobile experiences. We are particularly excited to announce SK Telecom’s participation in this collaborative ecosystem where everybody wins. SK Telecom is a global leader in 5G which follows their rich tradition of innovation within their network, strategic partnerships and developer engagement. This new era is underway,” says Eric Braun, Chief Commercial Officer of MobiledgeX.

Tuesday, December 11, 2018

Google on Building an Open Service Mesh in a Multi-Cloud World



We increasingly find ourselves in a world with many cloud edges, says Prajakta Joshi, Sr. Product Manager for Cloud Networking at Google. This includes public clouds, telcos, enterprise networks, and billions of edge devices.

The world is becoming one big distributed edge.

So, how do you deploy services in a multi-cloud world? What if we "SDN-ized" edge services?

The result could be an Open Telco Edge Service Mesh aligned with Google Cloud.

This 3-minute video focuses on the possibilities for a Service Mesh built with Istio and Kubernetes.

https://youtu.be/khhEKs3J91w







Tuesday, September 18, 2018

Gyrfalcon ships its AI ASIC for edge applications

Gyrfalcon Technology Inc. (GTI), a start-up based in Milpitas, California emerged from stealth to unveil its low-power AI processing chip for edge equipment.

GTI said it has taken an "edge-first" approach to its IoT technology. Its "Lightspeeur" 2801S is a 7mm x 7mm 28nm ASIC that uses just 300mW of power to deliver 9.3 TOPS/W for processing audio and video input. Between two and 32 chips can be combined on one board for heavy compute loads or separate task handling.

The company said it is now shipping the device to 10 customers, including LG, Fujitsu, and Samsung. Also shipping to customers developing edge AI solutions is GTI's USB3.0 dongle with an embedded Lightspeeur 2801S that accelerates customer development processes when creating next-generation AI enabled equipment and devices.

"Balancing the cost-performance-energy equation has been a challenge for developers looking to bring AI-enabled equipment to market at scale," said Dr. Lin Yang, chief scientist, GTI. "The GTI founding team has been watching the industry struggle with this challenge for decades, and believe that our AI Processing in Memory and Matrix Processing Engine provide an elegant solution to avoid having to make trade-offs. By deploying APiM and MPE on a standard, commoditized ASIC, GTI is enabling our customers to bring innovative, AI-enabled devices to the masses."

"We are paving the way for the next wave of AI products to make it to market," said Kimble Dong, CEO of GTI. "We recognized that device makers were compromising on essential design variables in AI-enabled equipment and have sought to solve this over the past few decades. Our offering marries our "edge-first" approach with ultra-fast AI data processing technology, low power consumption and a small chip design to enable the best AI experience and performance at a low cost, within any AI use case, physical fit and deployment."

http://www.gyrfalcontech.com


Monday, September 17, 2018

Juniper debuts Contrail Edge Cloud

Juniper Networks introduced its Contrail Edge Cloud for helping service providers deploy new revenue-generating services at the network edge. The aim is to bring a full-fledged secure cloud experience to the space- and power-constrained edge network, which includes base stations, hub sites and switching sites.

Juniper says its Contrail Edge Cloud can extend a full suite of orchestration, automation, security and analytics to the edge for supporting dynamic consumer and enterprise services in a cost and resource efficient manner.

The new Contrail Edge Cloud leverages the software-defined networking capabilities of Contrail Networking and Contrail Security with Kubernetes and OpenStack. Furthermore, it is based on Linux Foundation’s open Tungsten Fabric project.

Some highlights:

  • Footprint-optimized distributed computing: Integration with Red Hat OpenStack Platform, a highly scalable Infrastructure-as-a-Service (IaaS) platform, with distributed compute, leverages many of the latest OpenStack capabilities to remotely manage the lifecycle of compute nodes and virtual machines (VMs) from a centralized data center, without requiring the footprint of co-located OpenStack control plane functions in each of these remote edge sites. 
  • Containers for faster time to revenue: Contrail Edge Cloud will be capable of supporting Red Hat OpenShift Container Platform and other Kubernetes distributions.
  • Unified workflow, policy and service chaining: Contrail Networking with remote compute capabilities enables service providers to deliver a seamless network fabric between VMs, containers and bare metal servers from a single-user interface across physical and virtual environments. Contrail Networking translates abstract workflows into specific networking policies, simplifying the orchestration of virtual overlay connectivity across all environments. Fabric management capabilities automate policies and life-cycle management of each data center and edge site fabric. Contrail Networking provides connectivity and service chaining for OpenStack VM, Kubernetes containers and bare metal workloads without requiring the footprint of co-located control plane functions.
  • Native security and microsegmentation: Contrail Security provides visibility, telemetry and network policy enforcement in a single unified mechanism for service providers that are increasingly deploying a mix of VMs and containers. It includes adaptive firewall policies and tag-based ability to enforce security policies across Kubernetes and OpenStack.
  • Open source software-defined storage: Red Hat Ceph Storage provides massively scalable storage that runs economically on industry standard hardware and manages petabytes of data across cloud and emerging workloads. 
  • Machine learning-based analytics: AppFormix provides machine learning-based performance and health monitoring to give health and service insights into workloads and deployments.
  • Full-featured virtualized security: cSRX and vSRX deliver an industry leading container and virtualized security instance as part of the service chain.
Juniper said it continues to contribute to the Linux Foundation’s Akraino Edge Stack project to further the open cloud initiatives.

“Service providers’ edge networks are beachfront property. As 5G and new applications such as IoT, AR/VR and connected cars all require extreme proximity to the end user, the edge will become ground zero to deploy virtualized network infrastructure, as well as to monetize new applications. Contrail Edge Cloud will greatly simplify the IT side of spinning up and managing these new services in a secure way. And what’s great is it isn’t just for network engineers. It also gives sales and marketing executives a way to get creative with agile new services, so businesses and consumers start seeing carriers as more than just connectivity providers. We are executing all of this in an incredibly small edge-friendly footprint,” stated Sally Bament, Vice President, Service Provider Marketing, Juniper Networks.

Monday, September 3, 2018

DOCOMO tests edge computing for video processing

NTT DOCOMO has commenced a proof-of-concept (PoC) video IoT solution that will enable the interpretation and analysis of video data sourced from surveillance cameras using edge computing. DOCOMO will test the effectiveness of using edge computing to interpret and analyze video data. The edge computing will supplement processing performed in the cloud. As a first step, the PoC will test and evaluate the sourcing of data from surveillance cameras, aiming to develop a solution that uses existing cameras, requires no wired connectivity and does not involve the transmission of large quantities of data.

DOCOMO also confirmed a strategic investment in Cloudian, a Silicon Valley-based leader in enterprise object storage systems and developer of the Cloudian AI Box, a compact, high-speed AI data processing device equipped with camera connectivity and LTE / Wi-Fi capabilities, facilitating edge AI computing with both indoor and outdoor communications.

DOCOMO said the transfer and processing of large volumes of video data to the cloud have been a lengthy process involving significant delays and placing a considerable burden on cloud infrastructure and communication networks. Edge computing could help deal with these shortcomings and herald a new era of high-speed image recognition.



Cloudian raises $94 million for hyperscale data fabric

Cloudian, a start-up offering a hyperscale data fabric for enterprises, raised $94 million in a Series E funding, bringing the company’s total funding to $173 million.

“Cloudian redefines enterprise storage with a global data fabric that integrates both private and public clouds — spanning across sites and around the globe — at an unprecedented scale that creates new opportunities for businesses to derive value from data,” Cloudian CEO Michael Tso. “Cloudian’s unique architecture offers the limitless scalability, simplicity, and cloud integration needed to enable the next generation of computing driven by advances such as IoT and machine learning technologies.”

The funding round included participation from investors Digital Alpha, Eight Roads Ventures, Goldman Sachs, INCJ, JPIC (Japan Post Investment Corporation), NTT DOCOMO Ventures, Inc. and WS (Wilson Sonsini) Investments.

“Computing now operates without physical boundaries, and customers need storage solutions that also span from the data center to the edge,” said Takayuki Inagawa, president & CEO of NTT DOCOMO Ventures. “Cloudian’s geo-distributed architecture creates a global fabric of storage assets that support the next generation of connected devices.”

Cloudian brings its S3 API interface to Azure Blob Storage

Cloudian, a start-up based in San Mateo, California, is extending its hybrid cloud object storage system into Microsoft Azure.

Cloudian HyperCloud for Microsoft Azure leverages the company's S3 API interface to Azure Blob Storage. Cloudian said the world's largest Industrial Internet enterprise is using Cloudian HyperCloud for Azure to connect its Industrial Internet of Things solution to Azure Blob Storage.

"Cloudian HyperCloud for Azure is a game-changer for public cloud storage, enabling true bi-modal data storage across multiple cloud environments," said Michael Tso, Cloudian CEO and co-founder. "For the first time, customers have a fully supported, enterprise-ready solution to access their choice of cloud platforms from their S3-compliant applications. Customers can be up and running in minutes by launching HyperCloud from the Microsoft Azure Marketplace."

See also