当边缘遇见 FaaS：机遇与挑战
When Edge Meets FaaS: Opportunities and Challenges
AI总结：
本文探讨基于 FaaS 的边缘计算的可行性、优势及系统设计挑战，并通过评估 AWS IoT Greengrass 与 OpenFaaS 加以说明。
摘要：
边缘设备的激增和 IoT 数据的快速增长催生了边缘计算范式。Function-as-a-service（FaaS，函数即服务）是实现边缘计算的一种很有前景的计算范式。本文探讨了基于 FaaS 的边缘计算的可行性与优势，并研究了设计此类系统时需要解决的研究挑战：1）应用的快速分解与重组；2）沙箱机制在性能与隔离性之间的权衡；3）分布式调度。文中通过评估现有的基于 FaaS 的边缘平台 AWS IoT Greengrass 和 OpenFaaS 来说明这些挑战。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
