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

Wednesday, April 15, 2020

5G/Edge workload optimization with enterprise-ready ONAP

The number of workload instances generated in 5G + edge computing environments will grow exponentially, says Amar Kapadia, co-founder and CEO of Aarna Networks. Tens of thousands of dynamic instances supported by network slicing across hundreds of thousands of locations will necessitate a sophisticated orchestration system.   

Aarna Networks, a start-up based in San Jose, California, recently closed on pre-seed funding for its enterprise-ready Open Network Automation Platform (ONAP).  Here's a quick overview.

https://youtu.be/8IklJ0AkXTw




Sunday, April 5, 2020

Microsoft Azure Edge Zones previews with carriers

Microsoft has begun previewing Azure Edge Zones, which are 5G customer scenarios that can leverage its cloud capabilities.


Microsoft said Azure Edge Zones and Azure Private Edge Zones will enable:

  • Development of distributed applications across cloud, on-premises, and edge using the same Azure Portal, APIs, development, and security tools.
  • Local data processing for latency critical industrial IoT and media services workloads.
  • Acceleration of IoT, artificial intelligence (AI), and real-time analytics by optimizing, building, and innovating for robotics, automation, and mixed reality.
  • New frontiers for developers working with high-density graphics and real-time operations in industries such as gaming.
  • An evolving platform built with customers, carriers, and industry partners to allow seamless integration and operation of a wide selection of Virtual Network Functions, including 5G software and SD-WAN and firewalls from technology partners such as Affirmed, Mavenir, Nuage Networks from Nokia, Metaswitch, Palo Alto Networks, and VeloCloud By VMware.

Microsoft, which has already announced an Azure Edge Zone partnership with AT&T, is now expanding the program to the following carriers: Etisalat, NTT Communications, Proximus, Rogers, SK Telecom, Telefonica, Telstra, SK Telecom, and Vodafone Business.

By connecting Azure services directly to 5G networks inside the carrier's data centers, applications will benefit from significantly reduced latency,

“This is a uniquely challenging time across the globe as we rethink how to help organizations serve their customers and stakeholders,” said Anne Chow, chief executive officer, AT&T Business. “Fast and intelligent mobile networks will be increasingly central to all of our lives. Combining our network knowledge and experience with Microsoft’s cloud expertise will give businesses a critical head start.”

In addition, Microsoft announced the preview of Azure Private Edge Zones, a private 5G/LTE network combined with Azure Stack Edge on-premises delivering an ultra-low latency, secure, and high bandwidth solution for organizations to enable scenarios, like with Attabotics, accelerating e-commerce delivery times by using 3D robotic goods-to-person storage, retrieval, and real-time order fulfillment solutions. This solution leverages Azure Edge Zones and IoT technologies such as Azure IoT Central and Azure Sphere.

https://azure.microsoft.com/en-us/blog/microsoft-partners-with-the-industry-to-unlock-new-5g-scenarios-with-azure-edge-zones/

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 company calls the Network Cloud.  This means the Network Cloud is now capable of delivering Azure services.

“The first smartphones on 3G networks introduced the idea of mobile apps over a decade ago. A few years later, 4G LTE made it feasible to connect those devices faster to cloud applications to stream videos, hail rides, and broadcast content to the world,” said Mo Katibeh, EVP and chief marketing officer, AT&T Business. “With our 5G and edge computing, AT&T is collaborating uniquely with Microsoft to marry their cloud capabilities with our network to create lower latency between the device and the cloud that will unlock new, future scenarios for consumers and businesses. We’ve said all year developers and businesses will be the early 5G adopters, and this puts both at the forefront of this revolution.”

“We are helping AT&T light up a wide range of unique solutions powered by Microsoft’s cloud, both for its business and our mutual customers in a secure and trusted way,” said Corey Sanders, corporate vice president, Microsoft Solutions. “The collaboration reaches across AT&T, bringing the hyperscale of Microsoft Azure together with AT&T’s network to innovate with 5G and edge computing across every industry.”


AT&T to move most non-network workloads to public cloud by 2024

Microsoft and AT&T announced an extensive, multiyear alliance under which Microsoft will be the preferred cloud provider for non-network applications. Specifically, AT&T will provide much of its workforce with Microsoft 365, and plans to migrate non-network infrastructure applications to the Microsoft Azure cloud platform.

AT&T said the alliance is part of its broader public cloud first strategy to consolidate data center infrastructure and operations. AT&T is becoming a “public cloud first” company by migrating most non-network workloads to the public cloud by 2024.

“AT&T and Microsoft are among the most committed companies to fostering technology that serves people,” said John Donovan, CEO, AT&T Communications. “By working together on common efforts around 5G, the cloud, and AI, we will accelerate the speed of innovation and impact for our customers and our communities.”

“AT&T is at the forefront of defining how advances in technology, including 5G and edge computing, will transform every aspect of work and life,” said Satya Nadella, CEO, Microsoft. “The world’s leading companies run on our cloud, and we are delighted that AT&T chose Microsoft to accelerate its innovation. Together, we will apply the power of Azure and Microsoft 365 to transform the way AT&T’s workforce collaborates and to shape the future of media and communications for people everywhere.”

In addition, Microsoft will tap into the innovation AT&T is offering on its 5G network, including to design, test, and build edge-computing capabilities. With edge computing and a lower-latency 5G connection enabled through AT&T’s geographically dispersed network infrastructure, devices can process data closer to where decisions are made. Recently, Microsoft and AT&T worked together to test an edge computing-based tracking and detection system for drones. With more connected devices and the growing demand for streaming content from movies to games, businesses and consumers require ever-increasing network capabilities.

Tuesday, February 4, 2020

T-Systems' EdgAIR runs Wind River Cloud Platform

Deutsche Telekom's T-Systems division is using Wind River Cloud Platform edge cloud infrastructure software for its EdgAIR secure and high-performance edge computing platform.

T-Systems' EdgAIR platform performs as a private enterprise edge cloud and can be connected to a campus network by supporting various network and protocol standards (5G, Wi-Fi 6, TSN, etc.). The platform is secure and delivers low latency (<10 a="" also="" amounts="" analytics="" and="" applications="" as="" be="" but="" can="" closed="" cloud="" combined="" critical="" data.="" edgair="" enable="" enterprise="" evaluate="" for="" hybrid="" in="" information="" massive="" milliseconds="" network="" of="" offerings.="" on="" onsite="" operational="" other="" p="" performance="" processing="" provide="" public="" real-time="" real="" runs="" standards="" such="" supports="" teams="" technology="" that="" the="" time="" to="" with="" workloads.="">

“Demanding edge compute requirements from 5G, IoT, and MEC applications are creating challenges for those trying to deploy cloud native solutions,” said Paul Miller, vice president of Telecommunications at Wind River. “Wind River Cloud Platform addresses the complexities of deploying and managing a physically distributed, cloud native 5G infrastructure. Together with T-Systems, we are able to help customers achieve an operationally efficient, edge-capable cloud that can support thousands of nodes.”

“As industries dive further into the use of automated and intelligent applications, such as autonomous vehicles, factory automation and logistics, or augmented reality, there is a rising need for even greater security and powerful edge computing,” said Thomas Weber, vice president of PaaS, BigData, and Edge at T-Systems. “By working with Wind River, T-Systems is delivering a secure platform with extremely low latency that can help companies tap into intelligent real-time applications for limitless possibilities.”

http://www.windriver.com/CloudPlatform

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