Toward higher-level abstractions based on state machine for cloud resources elasticity

作者：

Highlights：

• Propose high-level abstractions based on a state machine to describe cloud resources while considering their elasticity.

• Propose a software system to support the elasticity-aware orchestration of cloud resources.

• Conduct a set of experiments proving the applicability, productivity, and expressiveness of the proposed abstractions.

• Provide a thorough analysis of the state of the art on cloud resources and elasticity solutions.

摘要

•Propose high-level abstractions based on a state machine to describe cloud resources while considering their elasticity.•Propose a software system to support the elasticity-aware orchestration of cloud resources.•Conduct a set of experiments proving the applicability, productivity, and expressiveness of the proposed abstractions.•Provide a thorough analysis of the state of the art on cloud resources and elasticity solutions.

论文关键词：Abstractions,Elasticity,Cloud resources,State machine,Orchestration

论文评审过程：Received 1 February 2019, Revised 1 June 2019, Accepted 10 September 2019, Available online 9 October 2019, Version of Record 17 March 2020.

论文官网地址：https://doi.org/10.1016/j.is.2019.101450