Budget optimized dynamic virtual machine provisioning in hybrid cloud using fuzzy analytic hierarchy process

作者：

Highlights：

• Unique set of selection factors are used to rank Cloud service providers(CSP).

• Multi Criteria Decision Model is implemented to rank using Extent Analysis of FAHP.

• An Optimized Flavor is recommended for Virtual Machine(VM) provisioning in hybrid cloud.

• A budget optimized algorithm called BOPVM for VM provisioning is proposed based on CSP ranking.

• Dynamic cost deviation factors and budget constraints are considered among cloud vendors.

摘要

•Unique set of selection factors are used to rank Cloud service providers(CSP).•Multi Criteria Decision Model is implemented to rank using Extent Analysis of FAHP.•An Optimized Flavor is recommended for Virtual Machine(VM) provisioning in hybrid cloud.•A budget optimized algorithm called BOPVM for VM provisioning is proposed based on CSP ranking.•Dynamic cost deviation factors and budget constraints are considered among cloud vendors.

论文关键词：Cloud computing,Private clouds,Hybrid cloud,Multi criteria decision making model,Fuzzy hierarchy analytical process,Cloud service provider,Service level agreement

论文评审过程：Received 27 November 2020, Revised 29 April 2021, Accepted 8 June 2021, Available online 13 June 2021, Version of Record 23 June 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115398