Affiliation:
1. Department of Management Information Systems, National Chiayi University, Chiayi, Taiwan
Abstract
Cloud servers can be started with ineffective resource arrangement, and extra costs are produced if unnecessary servers are started. This is a substantial fee for the cloud service provider. Therefore, each cloud data center needs an efficient resource allocation mechanism to prevent unnecessary cloud servers from being started. In general, resource allocation problems can be classified into either one-dimension or multi-dimension aspects. In 2013, the authors have proposed a multi-dimension resource allocation algorithm that can improve the utilization of cloud servers by as much as 97%. However, most of previous studies are more concerned with solving the resource allocation problem. In fact, after a period of time, the applications will finish their jobs, and resources been occupied on the servers will be released, thus decreasing the utilization of cloud servers. Therefore, this paper proposes a novel multi-dimension resource recycling algorithm to optimize the server resource again, to recycle the excess cloud resources and to reduce the unnecessary operating cloud servers.
Subject
Computer Networks and Communications
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Decadal Evolution of Energy Efficiency in Network Architectures: A Systematic Review;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02
2. An Approach for Detection of Overloaded Host to Consolidate Workload in Cloud Datacenter;International Journal of Grid and High Performance Computing;2018-04
3. Extending Dynamic Scheduling Policies in WorkflowSim by Using Variance based Approach;International Journal of Grid and High Performance Computing;2016-04