基于云的网络应用程序动态托管管理

Z. Abbasi, T. Mukherjee, G. Varsamopoulos, S. Gupta
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引用次数: 22

摘要

动态应用托管管理(DAHM)允许云根据以下因素在不同地点的数据中心动态托管应用:(i) 能源价格的时空变化;(ii) 数据中心计算和冷却能效;(iii) 应用的虚拟机(VM)迁移成本;(iv) 迁移开销或网络延迟导致的任何 SLA 违规行为。DAHM 是对动态工作负载分配问题的补充,被模拟为混合整数编程;开发了在线算法来解决该问题。利用现实数据对算法进行了仿真评估,并与面向性能的应用分配(即在延迟最小的数据中心托管应用)进行了比较。我们的仿真结果表明,DAHM 有可能节省高达 20% 的成本,而违反服务水平协议的情况仅有微不足道的增加。成本节约是通过利用成本效率变化以及减少用于托管应用程序的虚拟机总数来实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic hosting management of web based applications over clouds
Dynamic Application Hosting Management (DAHM) allows clouds to dynamically host applications in data centers at different locations based on: (i) spatio-temporal variation of energy price, (ii) data center computing and cooling energy efficiency, (iii) Virtual Machine (VM) migration cost for the applications, and (iv) any SLA violations due to migration overhead or network delay. DAHM is complementary to dynamic workload distribution problem and is modeled as mixed integer programming; online algorithms are developed to solve the problem. The algorithms are evaluated in a simulation study using realistic data and compared with performance-oriented application assignment, i.e., hosting the application at a data center whose delay is the least. Our simulations results indicate that DAHM can potentially save up to 20% cost while incurring only a nominal increase in SLA violations. The savings are obtained by exploiting the cost efficiency variation as well as reducing the total number of VMs employed to host applications.
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