工作流程
计算机科学
架空(工程)
地铁列车时刻表
背景(考古学)
节点(物理)
分布式计算
工作流技术
功能(生物学)
服务(商务)
工作流管理系统
操作系统
数据库
工程类
生物
进化生物学
经济
古生物学
经济
结构工程
作者
Zijun Li,Yushi Liu,Linsong Guo,Quan Chen,Jiagan Cheng,Wenli Zheng,Minyi Guo
标识
DOI:10.1145/3503222.3507717
摘要
Serverless computing (Function-as-a-Service) provides fine-grain resource sharing by running functions (or Lambdas) in containers. Data-dependent functions are required to be invoked following a pre-defined logic, which is known as serverless workflows. However, our investigation shows that the traditional master-worker based workflow execution architecture performs poorly in serverless context. One significant overhead results from the master-side workflow schedule pattern, with which the functions are triggered in the master node and assigned to worker nodes for execution. Besides, the data movement between workers also reduces the throughput.
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