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Function-Aware Resource Management Framework for Serverless Edge Computing
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DOI：10.1109/JIOT.2022.3205166.png)
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摘要
En 中文
Serverless edge computing is an emerging concept where only required functions are defined and executed as container instances at the edge cloud. The edge cloud has finite resources; therefore, sophisticated resource management is indispensable to accommodate more requests. In this article, we propose a function-aware resource management (FARM) framework for serverless edge computing that defines per-function queues to maximally utilize edge cloud resources. The FARM framework optimally determines: 1) which container instances should be maintained as warm status and 2) the amount of computing resources assigned to them. The FARM framework specifically formulates a constrained Markov decision process problem to minimize the memory resource consumption for the warm status maintenance while guaranteeing on-time task completion and converts it to a linear programming model to derive the optimal solution. The evaluation results show that the FARM framework can reduce the memory resource consumption of the edge cloud while meeting the on-time task completion.
Keyword:
Function-aware resource management (FARM)
joint optimization
serverless edge computing
warm start
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
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