Integrating I/Os in Cloudsim for Performance and Energy Estimation

摘要

This article presents an extension of the IaaS Cloud simulator CloudSim. This extension takes into account the processing of I/O workload generated by virtual machines within a data center, and evaluates the overall performance and energy consumption. Indeed, according to state-of-the-art studies, storage systems energy consumption may account for as much as 40% in a data center. So, we modified the time computation model of CloudSim to consider I/O operations. Additionally, we designed several models of storage system devices including Hard Disk Drives and Solid-State Drives. We also modeled CPU utilization to compute the energy consumptions related to I/O request processing. This was achieved through machine learning techniques. Our storage system extensions have been evaluated using video encoding traces. The simulation results show that a significant amount of energy, around 25%, is consumed due to I/O workload execution. This corroborates the soundness of our CloudSim extensions.