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On minimizing the resource consumption of cloud applications using process migrations
文献类型：期刊论文
| 作者 | Tziritas, Nikos; Khan, Samee Ullah; Xu, Cheng-Zhong; Loukopoulos, Thanasis; Lalis, Spyros |
| 刊名 | JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
 |
| 出版日期 | 2013 |
| 英文摘要 | According to the pay-per-use model adopted in clouds, the more resources an application running in a cloud computing environment consumes, the greater theamount of money the owner of the corresponding application will be charged. Therefore, applying intelligent solutions to minimize the resource consumption isof great importance. In this paper, we study the problem of 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 resources consumed by the respective application is minimized. Because centralized solutions are deemed unsuitable for large distributed systems or large-scale applications, we propose a fully distributed algorithm (called DRA) to overcome scalability issues. DRA takes decisions concerning the transition from one assignment scheme to another in a dynamic way, based solely on local information. We also propose and test two modifications of the basic DRA algorithm to deal better with the heterogeneity of cloudservers in terms of capacity constraints. We must note that we capture heterogeneity regarding the network model. Through theoretical analysis, we formally prove that DRA achieves convergence and always provides an optimal solution for tree-based networks in the uncapacitated case. Moreover, we prove through experimental evaluation that DRA achieves up to 55% network cost reduction when compared to the most recent algorithm in the literature. We also show thatthe proposed modifications of DRA improve the algorithm's performance considerably in the case where servers have limited capacity. (C) 2013 Elsevier Inc. All rights reserved. |
| 收录类别 | SCI |
| 原文出处 | http://www.sciencedirect.com/science/article/pii/S0743731513001585 |
| 语种 | 英语 |
| WOS记录号 | WOS:000326057700015 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5088]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING |
| 推荐引用方式 GB/T 7714 | Tziritas, Nikos,Khan, Samee Ullah,Xu, Cheng-Zhong,et al. On minimizing the resource consumption of cloud applications using process migrations[J]. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING,2013. |
| APA | Tziritas, Nikos,Khan, Samee Ullah,Xu, Cheng-Zhong,Loukopoulos, Thanasis,&Lalis, Spyros.(2013).On minimizing the resource consumption of cloud applications using process migrations.JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING. |
| MLA | Tziritas, Nikos,et al."On minimizing the resource consumption of cloud applications using process migrations".JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2013). |
入库方式： OAI收割
来源：深圳先进技术研究院
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