DFaaS:用于联邦边缘计算的分散式功能即服务

M. Ciavotta, Davide Motterlini, Marco Savi, Alessandro Tundo
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引用次数: 15

摘要

边缘计算将云功能推向网络边缘,更接近用户,以满足严格的服务质量要求,并确保更有效的带宽使用。功能即服务似乎是增强边缘计算应用程序部署和响应能力的最自然的服务模型解决方案。不幸的是,传统的FaaS模型不适用于分布式和异构边缘环境,在这种环境中,流量需求到达边缘节点(并由边缘节点提供服务),这些节点在某些流量条件下可能会过载,或者网络的接入点可能经常发生变化,例如移动应用程序。这篇简短的论文试图通过提出DFaaS来填补这一空白,DFaaS是一种新颖的分散的基于faas的架构,旨在自主平衡属于联邦边缘计算生态系统的边缘节点之间的流量负载。DFaaS实现依赖于覆盖的点对点网络和对负载重新分配做出决策的分布式控制平面。虽然是初步的,但结果证实了该方法的可行性,表明系统可以在边缘节点过载时透明地重新分配负载。
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DFaaS: Decentralized Function-as-a-Service for Federated Edge Computing
Edge Computing pushes cloud capabilities to the edge of the network, closer to the users, to address stringent Quality-of-Service requirements and ensure more efficient bandwidth usage. Function-as-a-Service appears to be the most natural service model solution to enhance Edge Computing applications’ deployment and responsiveness. Unfortunately, the conventional FaaS model does not fit well in distributed and heterogeneous edge environments, where traffic demands arrive to (and are served by) edge nodes that may get overloaded under certain traffic conditions or where the access points of the network might frequently change, as for mobile applications. This short paper tries to fill this gap by proposing DFaaS, a novel decentralized FaaS-based architecture designed to autonomously balance the traffic load across edge nodes belonging to federated Edge Computing ecosystems. DFaaS implementation relies on an overlay peer-to-peer network and a distributed control plane that takes decisions on load redistribution. Although preliminary, results confirm the feasibility of the approach, showing that the system can transparently redistribute the load across edge nodes when they become overloaded.
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