| Virtual resource allocation based on improved particle swarm optimization in cloud computing environment | |
Shao, Youwei
| |
| 2015-06-01 | |
| 发表期刊 | INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING
 |
| ISSN | 2005-4262 |
| EISSN | 2207-6379 |
| 卷号 | 8期号:3页码:111-118 |
| 摘要 | A major challenge facing cloud computing is virtual resource allocation with dynamic characteristics. Evaluation of a resource allocation strategy using a single aspect can no longer meet the real world demands. We resolve this issue from the perspectives of users and resource providers using a particle swarm algorithm for resource allocation. With this algorithm, we establish an allocation model using the shortest task completion time and the lowest cost as the constraints. The fast convergence rate of the particle swarm algorithm is then used to find the optimal solution for resource allocation. The velocity weight of each particle is self-adaptively adjusted based on the fitness value of each particle, resulting in an improvement in the global optimization and convergence capabilities. Finally, a simulation with the CloudSim platform shows that this algorithm can take into account the completion time and cost, which ensures the minimum cost in the shortest possible time to complete the task to improve resource utilization. © 2015 SERSC. |
| 关键词 | Algorithms Cloud computing Costs Global optimization Particle swarm optimization (PSO) Cloud computing environments Cloudsim Dynamic characteristics Fast convergence rate Particle swarm algorithm Resource allocation strategies Resource utilizations Task completion time |
| DOI | 10.14257/ijgdc.2015.8.3.11 |
| 收录类别 | EI ; ESCI |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Software Engineering |
| WOS记录号 | WOS:000366968300012 |
| 出版者 | Science and Engineering Research Support Society |
| EI入藏号 | 20152801020472 |
| EI分类号 | 722.4 Digital Computers and Systems ; 723 Computer Software, Data Handling and Applications ; 911 Cost and Value Engineering ; Industrial Economics ; 912.3 Operations Research ; 921 Mathematics ; 921.5 Optimization Techniques |
| 原始文献类型 | Journal article (JA) |
| 出版地 | TASMANIA |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | https://ir.cqcet.edu.cn/handle/39TD4454/3042 |
| 专题 | 重庆电子科技职业大学 建筑与材料学院 |
| 作者单位 | School of Applied Electronics, Chongqing College of Electronic Engineering, Chongqing, China |
| 第一作者单位 | 重庆电子科技职业大学 |
| 推荐引用方式 GB/T 7714 | Shao, Youwei. Virtual resource allocation based on improved particle swarm optimization in cloud computing environment[J]. INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING,2015,8(3):111-118. |
| APA | Shao, Youwei.(2015).Virtual resource allocation based on improved particle swarm optimization in cloud computing environment.INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING,8(3),111-118. |
| MLA | Shao, Youwei."Virtual resource allocation based on improved particle swarm optimization in cloud computing environment".INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING 8.3(2015):111-118. |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Shao-2015-Virtual Re（427KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
| Shao-2015-Virtual re（427KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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