摘要
针对云计算系统在执行任务过程中的能量消耗过多、处理速度不理想等情况,提出一种基于云计算的多路网络流媒体分布式最优存储与分配策略。通过构建基于云计算的数学模型来分析执行任务时的能量消耗情况,采用基于虚拟调度机制的分布式最优存储策略来实现在满足存储需求的情况下减少服务器进行存储时的能量消耗总量,最小化存储成本,并采用基于动态决策规则的分配策略来根据服务器的功率、性能以及负载情况进行任务调度,使云计算系统在满足服务质量要求的条件下,充分利用系统运作能耗,不产生过多空闲能耗。实验及结果分析表明,所提出的分布式最优存储与分配策略在节省能量消耗、提升运行速度上发挥了较好的效果。
For the energy consumption and the processing speed of cloud computing system is too much in carrying out its mandate, this paper proposed a multiple network streaming media distributed optimal storage and distribution strategies based on cloud computing. First it analyzed the energy consumption in the implementation of tasks by building a mathematical model based on cloud computing, and used the virtual storage strategy based on distributed optimal scheduling mechanisms to achieve reduction of energy consumption of the server and minimize storage costs. And it used dynamic allocation strategy based deci- sion rules to carry out the task scheduling according to the power, performance, and server load. It made fully use of the system＇s operational energy to avoid producing too much idle energy consumption under the conditions of meeting quality of service requirements. Experiments and resuhs analysis show that the optimal storage and distributed allocation strategy pro- posed plays a better effect on saving energy consumption, increase operating speed.
出处
《计算机应用研究》
CSCD
北大核心
2015年第6期1835-1838,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(61103143)
关键词
云计算
虚拟调度机制
分布式最优存储策略
动态决策规则
cloud computing
virtual scheduling mechanism
distributed optimal storage strategy
dynamic decision rules
