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

Wednesday, October 4, 2017

FogHorn raises $30M for industrial IoT edge computing

FogHorn Systems, a start-up based in Mountain View, California, announced $30 million in Series B funding for its software stack designed for the industrial IoT (IIoT) edge computing segment.

FogHorn has built a complex event processing (CEP) - driven edge analytics software for on-premises edge computing. The software has a very small footprint enabling it to deliver real-time analytics to resource-constrained edge devices such as PLCs, gateways and industrial PCs. FogHorn recently enhanced its CEP platform with a new "Lightning ML" edge machine learning solution that can be used to train and execute machine learning algorithms and other advanced data science models on streaming sensor data. FogHorn says this facilitates the creation and iterative enhancement of “digital twins” and other sophisticated machine learning and AI models without the need to send all the sensor data to a cloud or data center for processing.

FogHorn's “edge intelligence” software targets industrial and commercial IoT application, such as complex machinery packed with sensors. For performance and cost reasons, FogHorn argues data from industrial equipment mostly should be processed locally and not sent to a distant cloud. On-premises computing provides better latency for near real-time feedback. It can also minimize the volume of data to be uploaded to the cloud. FogHorn's software is being used by OEMs and systems integrators. The company is also working directly with end customers in manufacturing, oil and gas, power and water, transportation, renewable energy, mining and agriculture, as well as Smart Building, Smart City and connected vehicle applications.

The new funding round was led by Intel Capital and Saudi Aramco Energy Ventures with new investor Honeywell Ventures and all previous investors participating, including Series A investors March Capital Partners, GE Ventures, Dell Technologies Capital, Robert Bosch Venture Capital, Yokogawa Electric Corporation, Darling Ventures and seed investor The Hive. The company has raised $47.5 million to date.

“This major round of funding by many of the world’s largest and most innovative technology and industrial companies will enable FogHorn to continue its drive for industry-first innovation in the IIoT market segment,” said David C. King, CEO of FogHorn. “We have seen unprecedented interest from customers and partners in a huge variety of industries for advanced condition monitoring, predictive maintenance, asset performance management and process optimization solutions.”


  • FogHorn is headed by David C. King (CEO), who previously co-founded AirTight Networks and served as its Chairman and CEO. Prior to AirTight, he served as Chairman, President and CEO of Proxim Inc., a pioneer in WLANs and the first publicly traded Wi-Fi company.

Tuesday, October 3, 2017

EdgeX Foundry announces its first release for Edge IoT

EdgeX Foundry, which is the open source project hosted by The Linux Foundation that is focused on Internet of Things (IoT) edge computing, announced its first major code release.

The "Barcelona" software release, which will be available later this month, reflects the collaborative effort by more than 60 member organizations to build out and support an ecosystem for Industrial IoT (IIoT) solutions. The software release includes important work on “north side” Export Service interfaces that provide connectors to Azure IoT Suite and Google IoT Core as well as support for connections via MQTTS and HTTPS.

The EdgeX Foundry project was launched in April 2017.

“We believe that EdgeX will radically change how businesses develop and deploy IIoT solutions, and we are excited to see the community rally together to support it,” said Philip DesAutels, senior director of IoT at The Linux Foundation. “Barcelona is a significant milestone that showcases the commercial viability of EdgeX and the impact that it will have on the global Industrial IoT landscape.”

Friday, July 14, 2017

Vitalpointz Targets the Edge

We have seen the tremendous potential for innovation, cost saving, and flexibility being unleashed by the public clouds.  The hyperscale data centers of the top three public cloud providers are marvels to behold. Private cloud data centers and hybrid cloud architectures are also on the rise as Fortune 500 companies shift their IT spending to take advantage of this trend.

We are also now witnessing the long-predicted rise in the Internet of Things.  IDC’s recent Worldwide Semiannual Internet of Things Spending Guide predicts spending on IoT will reach $800 billion this year, up 16.7% year over year, and rising to nearly $1.4 trillion in 2021.  IDC breaks down 2017 investments in IoT as follows: manufacturing operations ($105 billion), freight monitoring ($50 billion), and production asset management ($45 billion), smart grid technologies for electricity, gas and water and smart building technologies ($56 billion and $40 billion, respectively). Looking to 2021, IDC expects these use cases will remain the largest areas of IoT spending. The use cases that will see the fastest spending growth are airport facilities automation (33.4% CAGR), electric vehicle charging (21.1% CAGR), and in-store contextual marketing (20.2% CAGR).


The Need for Edge Computing

At the intersection of these two trends is a new opportunity that is just beginning to catch the interest of Silicon Valley – edge computing, sometimes also called fog computing. The primary idea here is that Industrial Internet of Things (IIoT) applications will benefit from both cloud infrastructure and local compute/storage resources. Centralized controllers in the cloud could be used for provisioning, performance monitoring, billing, and big data analytics. Real-time control of the application and its associated physical devices would be retained by an “edge” processing/storage unit.

This will drive the development of small server farms, or “cloudlets”, located in-building, on-campus, or in a metro area data center.  Google recently disclosed plans for more data centers in city centers rather than solely hyperscale campuses in remote locations. AWS is promoting its “Greengrass” project, software for running local compute, messaging, data caching, and sync capabilities for connected device. Greengrass runs locally and the AWS cloud provides management, analytics, and durable storage.

The communication service providers have their own variation for this general concept - Central Office Re-architected as a Data Center (CORD).  Under the Linux Foundation, CORD is now an independent open source project aimed at leveraging the elasticity of commodity clouds and merchant silicon for a new generation of smaller and more efficient central offices. Backers include Google, Radisys, Samsung Electronics, AT&T, China Unicom, Google, NTT Communications, SK Telecom, and Verizon, vendors Ciena, Cisco, Fujitsu, Intel, NEC, Nokia, etc.

The Vitalpointz Application Forking Engine

Vitalpointz (vitalpointz.net) is a Silicon Valley-based start-up with R&D operations in Bangalore, that has just announced its entrance into this market. The company is led by veteran successful entrepreneur Ravi Medikonda, who previously headed Vistapointe, a start-up that specialized in cloud-based and real-time network monitoring solutions for mobile operators. Vistapointe developed data extraction, analysis and insight generation technologies that enabled mobile operators to gain visibility into their mobile networks. The solution leveraged Network Functions Virtualization (NFV) architecture, enabling it to run in a telco cloud.  Brocade acquired Vistapointe in 2014. The Vistapointe team went on to become Brocade’s Network Visibility and Analytics business unit, establishing accounts with major North American and Japanese mobile operators.  With Broadcom’s $5.9 billion acquisition of Brocade and subsequent divestitures of many business units, the time seemed right to pursue the new edge opportunity.

“We see a distinct opportunity for a better edge computing paradigm,” says Vitalpointz’ Ravi Medikonda. “Application developers really should not have to know specifically what hardware resources are available locally versus in the cloud.  Our forking engine will automatically direct traffic to where it can be best processed. In many cases, that might be a nearby CORD or on-prem server, but it might be the public or private cloud.”

Applications are driven by multiple functional modules, also known as micro-services, which can exist in different locations (VMs, container, across racks, across data centers, etc.). We also know that application deployment has changed to a SAAS multi-tenant model.  The same deployment of "Office 365" can serve multiple companies and customers.  So, the ability to specifically manage an application by host or an IP-address is not possible.

The patent pending Vitalpointz Application Fork Engine (VAFE) technology will enable applications to run “as is” across the cloud and cloudlet without any configuration change. The company says its VAFE technology will benefit several use cases that require quick responsiveness, low latency and near real-time operation. VAFE can be embedded in x.86 platforms, VMs, processor boards in Layer-2 DC switches or IIOT gateways.

Examples could include context-aware services and location-aware services, asset tracking, video surveillance, connected cars, augmented and virtual reality, etc.  Think of a hotel that is installing NFC-enabled door locks on its customer rooms.  When a new reservation is booked online, a room suite is automatically assigned and a unique room access code is generated and emailed to the guest. This part of the booking is handled by the hotel management application in the cloud. When the guest arrives at the hotel on the day of the booking, he or she may proceed directly to the reserved room, which opens when their NFC-enabled phone is touched to the door lock. The authenticated door opening transaction is processed locally rather than in the cloud data center which could be thousands of miles away.


The Vitalpointz founding team has played the Silicon Valley & Bangalore start-up game before with a successful outcome. A promising market opportunity has been identified and key intellectual property is under development. As is often the case, it is the focused engineering teams who have worked together in the past that gain a first-to-market advantage over the large vendors.

See also