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All of these characteristics pose unique challenges while developing emerging 5G/AI applications at the network edge. Supporting such an extensive feature-set at the required flexibility, dynamicity, performance, and efficiency requires careful and expensive engineering effort and needs adoption of new ways of architecting the enabler enabling technology landscape.
To this regards, our proposed “Federated Multi-Access Edge Cloud Platform” blueprint enables desired abstractions in order to address these challenges and, as a result, ushers in an application development environment that enables support for ease of development and deployment of these emerging applications landscape. Subsequent sections delve deep into the proposed “Federated Multi-Access Edge Cloud Platform” blueprint details.
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EdgeMesh provides support for service mesh capabilities for the edge clouds in support of microservice communication cross cloud and edges. EdgeMesh provides a simple network solution for the inter-communications between services at edge scenarios (east-west communication).
The network topology for edge cloud computing scenario is quite complex. Various Edge nodes are often not interconnected and the direct inter-communication of traffic between applications on these edge nodes is highly desirable requirement for businesses. EdgeMesh addresses these challenges by shielding the complex network topology at the edge applications scenario. More details related to EdgeMesh project can be found here.
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This blueprint will evolve as we incorporate remaining architectural components as part of the subsequent Akraino releases. More information on this blueprint can be found here.
Acknowledgements
Project Technical Lead: Deepak Vij, KubeEdge MEC-SIG member - Principal Cloud Technology Strategist at Futurewei Cloud Lab.
Contributors:
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