Name
Abstract | ||
|---|---|---|
Recently, with the improvement of Cloud systems technologies and the essential advantages they can provide such as availability, scalability, and costs saving; massive domains in the IT industry are directing their business to the Cloud. To fit the computing demands of this trend along with nowadays fluky applications (e.g. social networks, media contents), Cloud systems require rapid resource changes. As a result, the workload management in a virtualized environment becomes a complex task. In this paper we propose a new proactive workload management model for virtualized resources to inspect the workload behavior of the running Virtual Machines, and to assent an appropriate scheduling and resource consolidation schema in order to improve the system efficiency, utilization, and throughput. We have carried out our model by modifying Xen Cloud Platform, then we tested the model performance through different representative benchmarks. The results show that the Proactive model can decrease the average response time remarkably. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.jcss.2014.04.018 | Journal of Computer and System Sciences |
Keywords | Field | DocType |
cloud computing,performance prediction models,resource management,virtualization | Virtualization,Resource management,Virtual machine,Workload,Information technology,Scheduling (computing),Mathematics,Scalability,Cloud computing,Distributed computing | Journal |
Volume | Issue | ISSN |
80 | 8 | 0022-0000 |
Citations | PageRank | References |
3 | 0.42 | 20 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmed Sallam | 1 | 68 | 5.84 |
| Kenli Li | 2 | 540 | 58.66 |
| Aijia Ouyang | 3 | 159 | 19.34 |
| Zhiyong Li | 4 | 42 | 2.38 |