Two-tier policy-based consolidation control for workload with soft deadline constrain in virtualized data center
Two-tier policy-based consolidation control for workload with soft deadline constrain in virtualized data center
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DOI：
10.1109/ccdc.2013.6561332
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发表时间：
2013-05
期刊：
影响因子：
--
通讯作者：
Ming Tao;Shoubin Dong
中科院分区：
文献类型：
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作者：
Ming Tao;Shoubin Dong
资源虚拟化已经成为一种很有前途的方法，可以解决数据中心中由于过度供应和时变资源请求而导致的未充分利用问题，并且在虚拟化基础设施中合理整合工作负载最近受到了相当多的关注。针对虚拟化数据中心中存在软期限约束的工作负载，提出了一种基于策略的两层整合控制方案。它允许资源请求适度超出资源容量，同时按需分配虚拟和物理资源，目的是实现更高的服务器利用率和能源效率，而不会以最佳方式承担截止日期的损失。基于CloudSim构建了一个使用Xen虚拟机的虚拟数据中心测试平台。实验分析表明，可以利用期望的系统目标来提高总体效用。
Resource virtualization has emerged as a promising approach to solving the under-utilized caused by over-provisioning and time-varying resources requests in data center, and rational consolidating workload in a virtualized infrastructure has recently gained considerable attention. A two-tier policy-based consolidation controlling scheme for workload with soft deadline constrain in virtualized data center is proposed. It allows the resources requests to be moderately beyond the resources capacities while allocating both virtual and physical resources on-demand, for the purpose of achieving higher server utilization and energy efficiency without taking the deadline penalty in a best-effort manner. A test-bed with a virtual data center using Xen virtual machines is built based on CloudSim. The experimental analysis indicates that the desired system goals can be leveraged to improve the overall utility.