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作 者:Meenakshi Sethunath Yang Peng
机构地区:[1]Computing and Software Systems,School of STEM,University of Washington Bothell,Bothell,USA
出 处:《High-Confidence Computing》2022年第3期31-39,共9页高置信计算(英文)
摘 要:Serverless computing has become increasingly popular recently due to its cost efficiency and flexibility.However,running serverless computing functions in the cloud can incur high end-to-end service latency and operational costs.Running them on edge servers may significantly reduce service latency but is limited by computing power and memory availability.Given the limitations of cloud and edge environments for performing serverless com-puting,this paper proposes a joint function warm-up and request routing scheme to perform serverless computing functions on edge and cloud collaboratively.The key idea of the new scheme is to maximize the hit ratio of server-less computing requests,thereby reducing the cold-start latency that dominates the overall serving latency.This scheme explicitly considers allocating server memory and operation budget for executing concurrent requests during the scheduling.The proposed scheme has been evaluated through extensive simulations.Its effectiveness has been proved by comparison with the upper-bound results.
关 键 词:Serverless computing Edge computing Cloud computing Function warm-up
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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