Name
Abstract | ||
|---|---|---|
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 mstudies, 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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/3041710.3041715 | Operating Systems Review |
Keywords | Field | DocType |
CloudComputing,CloudSim,Storage,I/O,Energy | Virtual machine,Computer science,CPU time,Computer data storage,Input/output,Real-time computing,Data center,Energy consumption,Operating system,Cloud computing,CloudSim | Journal |
Volume | Issue | ISSN |
50 | 3 | 0163-5980 |
Citations | PageRank | References |
1 | 0.41 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hamza Ouarnoughi | 1 | 15 | 2.92 |
| Jalil Boukhobza | 2 | 107 | 22.94 |
| Frank Singhoff | 3 | 93 | 17.70 |
| Stephane Rubini | 4 | 57 | 12.08 |