All Posts By

Maemalynn Meanor

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.