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In the News

FierceWireless: Akraino Edge stack emerges from LF Edge to provide framework for 5G, IoT

By | Akraino, In the News

LF Edge, an umbrella organization within the Linux Foundation, announced the availability of Akraino Edge Stack Release 1, setting a framework to address 5G, IoT and a range of edge use cases.

LF Edge was first launched in January with a mission to create a unified open source framework for the edge. It started with more than 60 founding members and grew from there. At that time, Akraino Edge Stack was announced as one of its projects.

Arpit Joshipura, general manager, Networking, Automation, Edge and IoT at the foundation, said the Akraino project continues its momentum with operators’ network edge and the enterprise/IoT edge that emanates out of it.

Read the full article here.

SDxCentral: LF Edge Targets Telcos With Akraino Edge Stack Release

By | Akraino, In the News, Uncategorized

Akraino Edge Stack, an open source edge computing project aimed at addressing telecom, enterprise, and industrial IoT use cases, is now available with 10 deployment-ready blueprints. The project, housed under the LF Edge group, is an open source software stack that is also designed to improve and expand the flexibility of edge cloud services in the 5G core, virtual radio access networks (vRAN), universal CPE (uCPE), SD-WAN, and carrier edge media processing.

“From a telco perspective we believe that there are three things that they’re extremely well equipped with, and that’s what differentiates the telcos in this world of edge,” said Arpit Joshipura, general manager of edge, IoT, and networking at Linux Foundation. The Linux Foundation launched Akraino in early 2018, and it formed LF Edge in January as an umbrella group for its five open source edge computing projects.

Read the full article here.

SmarterMSP: LF Edge launches frameworks for building edge solutions

By | Akraino, In the News

The Linux Foundation wants to make it simpler for managed service providers (MSPs) to construct their own edge computing solutions using open source software. The LF Edge arm of the Linux Foundation announced the availability of a set of frameworks and validated reference architectures for build edge solutions, for everything from Internet of Things (IoT) environments to 5G wireless networking services based on the Akraino Edge Stack.

Officially launched last year, Release 1 of the Akraino Edge Stack provides access to more than 11 blueprint classes, with more than an additional 19 blueprints under development. Arpit Joshipura, general manager for networking, automation, edge, and IoT at the Linux Foundation, says that unlike other reference architectures, these blueprints are made up of declarative open source components and associated best practices. This makes it simpler to build, deploy, secure, and manage edge computing platforms.

Read the full article here.

IoT World Today: Edge Computing Middleware: How It Can Tame IoT Complexity

By | EdgeX Foundry, In the News

The benefits of using edge computing middleware and tips for selecting the best approach for taming IoT complexity.

Edge computing middleware in an industrial or enterprise software architecture is akin to plumbing on steroids. This software layer must efficiently connect different applications, data sources, devices (such as sensors and endpoints), services and business entities.

Today, IoT and industrial IoT within an organization can pose enormous complexity because of the sheer scale of edge projects. The ability to run cloud and AI applications at the network edge only increases the level of intricacy.

Infrastructure management alone “can quickly become a problem of nightmarish proportions at the edge,” said IDC Analyst Ashish Nadkami.

The advent of cloud computing helped IoT explode. As a result, edge computing can reduce the cost of cloud performance by putting compute power close to the network edge and devices, said Keith Steele, chairman of the EdgeX Foundry technical steering committee.

“There are many problems associated with edge with lots of software and massive numbers of protocols around this,” Steele added. “Sometimes there is hardware fragmentation and silicon fragmentation. What we have at the edge is a real problem because it’s very heterogeneous, with many components, operating systems and silicon. Edge middleware is how we bring it together.”

Read the full article here.

SiliconANGLE: Linux Foundation aims for global unification through open-source

By | In the News

It is a gathering storm of technological advances: artificial intelligence, network virtualization, 5G, containerized applications and neural processing units. As new technology enables greater connectivity, the race toward a smart society based on the “internet of things” gathers speed.

Thanks to open-source collaboration, the journey has become a cooperative one rather than a arms race. Software developers understand that pooling knowledge and resources is more productive than working alone; and project collaboration overcomes political and geographical differences.

“Whether it’s Europe, Asia, China, India, [or] Japan, developers are coming together very nicely through a common governance which crosses boundaries,” said Arpit Joshipura (pictured), general manager of networking, orchestration, and edge/internet of things at the Linux Foundation.

Read the full article here.

SDxCentral: Edge Magnifies Open Source Challenges, Opportunities

By | Akraino, EdgeX Foundry, In the News, Project EVE

There are almost as many open source groups and projects working on edge computing as there are definitions of edge — one such project, in fact, focuses exclusively on defining edge terms. This is partially due to the hype, and consolidation will probably happen as the hype turns into real-life deployments and concrete use cases.

We’re already seeing some signs of open source groups working together to solve edge challenges and take advantage of the opportunity it provides. The Linux Foundation and open standards body ETSI, for example, recently signed a memorandum of understanding to “bring open source and standards closer and foster synergies between them.” As it relates to edge, this means Akraino — which is the Linux Foundation’s open source edge software stack — will incorporate the ETSI Multi-Access Edge Computing (MEC) APIs directly into the stack.

Read the full article here.

SDxCentral: Project EVE Seed Code Drops, Creates Virtualization Standard for Edge Devices

By | In the News, Project EVE

The Linux Foundation this week received initial seed code from Zededa for Project EVE (Edge Virtualization Engine), one of its five open source edge projects.

Zededa is a founding member of LF Edge, which the Linux Foundation formed in January as an umbrella organization for its edge projects. At the time, it also announced Project EVE to develop standard edge architecture that accommodates on- and off-premises hardware, network, and application selections. This enables edge gateways and devices to 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.

“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, in a statement.

Read the full article here.

DataCenterNews: Linux Foundation’s LF Edge breaks edge computing’s barriers

By | In the News, Project EVE

Edge computing should be completely interoperable and free of hardware, silicon, cloud and operating system restrictions. That’s the core message from LF Edge, an umbrella organization within the Linux Foundation.

LF Edge recently announced that its Project Edge Virtualization Engine (EVE) will continue to pick up momentum, after receiving initial seed code from its founding member, ZEDEDA.
With the explosion in connected devices generating continuous data streams that require fast processing, edge computing enables data processing through local gateway systems to reduce latency and provide faster response.

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.

Read the full article here.

Forbes: Opening Up The Edge: Why Agnostic Cloud Software Is The Key To Edge Computing

By | In the News, Project EVE

The rising value of data has changed the business landscape forever, and companies have migrated en masse to the (theoretical) unlimited capacity of the cloud. As IoT devices have started to pump more data through networks and into the cloud, connected enterprises are managing their operations in data centers as well as using computational ability closer to the data source.

Read more at Forbes.