Dynamic server provisioning to minimize cost in an IaaS cloud

摘要: Cloud computing holds the exciting potential of elastically scaling computation to match time-varying demand, thus eliminating need provision for peak demand satisfy response-time requirements. Moreover, cloud vendors often offer several commitment levels their machine instances (e.g., users can choose pay an upfront premium discounted hourly usage price). Because cost is a major concern that may limit adoption, two key challenges are determine (a) number machines and (b) level at which should be acquired, minimize while satisfying targets. This paper address above in Infrastructure-as-a-Service (IaaS) cloud. Our simulations with real Web server load traces reveal our techniques reduction between 13% 29% (21% on average) under Amazon EC2 pricing models.