Supporting Multi-Provider Serverless Computing on the Edge

被引:31
|
作者
Aske, Austin [1 ]
Zhao, Xinghui [1 ]
机构
[1] Washington State Univ, Sch Engn & Comp Sci, Vancouver, WA 98686 USA
关键词
Serverless Computing; Function-as-a-Service; Edge Computing; Scheduling; Performance;
D O I
10.1145/3229710.3229742
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Serverless computing has recently emerged as a new execution model for cloud computing, in which service providers offer compute runtimes, also known as Function-as-a-Service (FaaS) platforms, allowing users to develop, execute and manage application functionalities. Following the rapid adoption of FaaS technologies and the introduction of numerous self hosted FaaS systems, the need for real time monitoring and scheduling of functions in an ecosystem of providers has become critical. In this paper, we present MPSC, a framework for supporting Multi-Provider Serverless Computing. MPSC monitors the performance of serverless providers in real time, and schedules applications across these providers. In addition, MPSC also provides APIs for users to define their own scheduling algorithms. When compared to scheduling on a single cloud resource MPSC provides a 4X speedup across multiple providers in a volatile edge computing environment.
引用
收藏
页数:6
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