When Edge Meets FaaS: Opportunities and Challenges

Runyu Jin, Qirui Yang, Mingde Zhao
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Abstract

The proliferation of edge devices and the rapid growth of IoT data have called forth the edge computing paradigm. Function-as-a-service (FaaS) is a promising computing paradigm to realize edge computing. This paper explores the feasibility and advantages of FaaS-based edge computing. It also studies the research challenges that should be addressed in the design of such systems, which are 1) the quick decomposing and recomposing of applications, 2) the trade-off between performance and isolation of sandbox mechanisms, and 3) distributed scheduling. The challenges are illustrated by evaluating existing FaaS-based edge platforms, AWS IoT Greengrass, and OpenFaaS.
当边缘遇到FaaS:机遇和挑战
边缘设备的激增和物联网数据的快速增长催生了边缘计算范式。功能即服务(FaaS)是实现边缘计算的一种很有前途的计算范式。本文探讨了基于faas的边缘计算的可行性和优势。它还研究了在这样的系统设计中应该解决的研究挑战,即1)应用程序的快速分解和重组,2)沙盒机制的性能和隔离之间的权衡,以及3)分布式调度。通过评估现有的基于faas的边缘平台、AWS IoT Greengrass和OpenFaaS,可以说明这些挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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