基于边缘和云的无服务器计算联合资源分配和请求调度方案

Meenakshi Sethunath, Yang Peng
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引用次数: 0

摘要

无服务器计算功能通常在云中执行。但是,访问云的高延迟可能需要在边缘服务器上运行它们,而边缘服务器的计算能力和内存可用性有限。本文提出了一种联合资源分配和请求调度方案,以在边缘和云上协同执行无服务器计算功能。该方案在设计中明确考虑了冷启动延迟的情况下,如何为并发无服务器计算请求分配服务器内存和运行预算。所提出的方案已通过大量的模拟进行了评估。通过与上界结果的比较,证明了该方法的有效性。
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A Joint Resource Allocation and Request Dispatch Scheme for Performing Serverless Computing over Edge and Cloud
Serverless computing functions typically execute in the cloud. However, the high latency of accessing the cloud may require running them on edge servers, which have limited computing power and memory availability. This paper proposes a joint resource allocation and request dispatch scheme to execute serverless computing functions over edge and cloud collaboratively. This new scheme explicitly considers how to allocate server memory and operation budget for concurrent serverless computing requests considering the cold-start latency in design. The proposed scheme has been evaluated through extensive simulations. Its effectiveness has been proved by comparison with the upper-bound results.
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