Association for Computing Machinery
Benchmarking the performance of public cloud providers is a common research topic. Previous paper has already extensively evaluated the performance of different cloud platforms for different use cases, and under different constraints and experiment setups. In this paper, the authors present a principled, large-scale literature review to collect and codify existing research regarding the predictability of performance in public Infrastructure-as-a-Service (IaaS) clouds. They formulate 15 hypotheses relating to the nature of performance variations in IaaS systems, to the factors of influence of performance variations, and how to compare different instance types.