标题:A credit-based allocation method of resource quotas for cloud users
作者:Chen, Jing ;Wang, Yinglong ;Xue, Bing ;Zhao, Zhigang ;Guo, Ying
作者机构:[Chen, Jing ] College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao; 266590, China;[Chen, Jing ] Shan 更多
会议名称:17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
会议日期:December 19, 2014 - December 21, 2014
来源:Proceedings - 17th IEEE International Conference on Computational Science and Engineering, CSE 2014, Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2014, 13th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2014 and 8th International Conference on Frontier of Computer Science and Technology, FCST 2014
出版年:2015
页码:305-311
DOI:10.1109/CSE.2014.84
摘要:Many studies have been conducted on resource allocation and scheduling methods. While these methods seldom give effective measures to prevent resource abuse. To some extent, the restriction of resource quota relieves the problem of resource abuse in regard to public cloud platform. The common allocation method mainly adopts a fixed resource quota to limit an user's resource usage for the user's first application. When the user requires more resources, he is asked to apply for a new resource quota again. Generally, the administrator of cloud platform simply checks his resource demand and gives him the requested quota. However, in some cases, an user can occupy the quota with low resource utilization in long time, and even he can lie to deceive more resource quota. These may lead a single user to exceedingly occupy resource quota, while other users cannot gain enough resource quota. The fairness in resource quota allocation is violated. To address this issue, we propose a credit-based allocation method of resource quotas for cloud users in this paper. The key idea is to first set up an user's credit factor according to the user's historical resource quota utilizations, and then allocate the user new resource quota based on it. We conduct three simulated experiments on our method. The experimental results show that our method imposes punitive allocation on malicious behaviours, such as occupying resource quota with low quota utilization in long time, deceiving more resource quota and etc. Besides, our method can also satisfy more users' resource quota demands with respect to limited resource. Compared with the existing common method, our method strengthens the fairness in resource quota allocation effectively.
© 2014 IEEE.
收录类别:EI
资源类型:会议论文
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