An optimal fully distributed algorithm to minimize the resource consumption of cloud applications
文献类型：会议论文
| 作者 | Tziritas, Nikos; Khan, Samee Ullah; Xu, Cheng-Zhong; Hong, Jue |
| 出版日期 | 2012 |
| 会议名称 | 18th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2012 |
| 会议地点 | Nanyang Technol Univ, Yunnan Garden Campus, Singapore, SINGAPORE |
| 英文摘要 | According to the pay-per-use model adopted in clouds, the more the resources consumed by an application running in a cloud computing environment, the greaterthe amount of money the owner of the corresponding application will be charged. Therefore, applying intelligent solutions to minimize the resource consumption isof great importance. Because centralized solutions are deemed unsuitable for large-distributed systems or large-scale applications, we propose a fully distributedalgorithm (called DRA) to overcome the scalability issues. The aforementioned problem can be solved by identifying an assignment scheme between the interacting components of an application, such as processes and virtual machines, and the computing nodes of a cloud system, such that the total amount of resourcesconsumed by the respective application is minimized. The decisions for the transition from one assignment scheme to another one are made in a dynamic way and based only on local information. It should be stressed that DRA achieves convergence and always results in the optimal solution. We also show, through anexperimental evaluation, that DRA achieves up to 55% network cost reduction when compared to the most recent algorithm in the literature. © 2012 IEEE.(25 refs) |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4256]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Tziritas, Nikos,Khan, Samee Ullah,Xu, Cheng-Zhong,et al. An optimal fully distributed algorithm to minimize the resource consumption of cloud applications[C]. 见:18th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2012. Nanyang Technol Univ, Yunnan Garden Campus, Singapore, SINGAPORE. |
入库方式： OAI收割
来源：深圳先进技术研究院
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