引用本文: | 阚运奇,刘宏伟,左德承,等.云计算系统虚拟机内存资源预留方法[J].国防科技大学学报,2016,38(5):45-51.[点击复制] |
KAN Yunqi,LIU Hongwei,ZUO Decheng,et al.Memory resources reservation method for virtual machine in cloud computing system[J].Journal of National University of Defense Technology,2016,38(5):45-51[点击复制] |
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云计算系统虚拟机内存资源预留方法 |
阚运奇1,2, 刘宏伟1, 左德承1, 张展1 |
(1. 哈尔滨工业大学 计算机科学与技术学院, 黑龙江 哈尔滨 150001;2.
2. 东北电力大学 信息工程学院, 吉林 吉林 132400)
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摘要: |
为降低消费者租借云计算系统资源的开销,提出了成本约束的内存预留随机整数线性规划模型及方法。结合预留计划和按需计划的内存资源价格,设计包含成本及资源总量约束条件的随机开销函数,并以函数期望值最小化为目标,基于内存消耗量概率分布求出优化的内存预留量。试验表明,消费者利用该方法租借资源的开销比利用预留计划、按需计划及同类方法租借资源的开销更小。 |
关键词: 云计算 虚拟机 内存资源预留 成本优化 |
DOI:10.11887/j.cn.201605008 |
投稿日期:2015-11-25 |
基金项目:国家863计划资助项目(2013AA01A215) |
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Memory resources reservation method for virtual machine in cloud computing system |
KAN Yunqi1,2, LIU Hongwei1, ZUO Decheng1, ZHANG Zhan1 |
(1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China;2.
2. School of Information Engineering, Northeast Dianli University, Jilin 132400, China)
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Abstract: |
In order to reduce the consumers’ costs of renting resources in cloud computing system, a random integer linear programming model and a method for memory reservation were presented on the basis of cost constraints. Combined with the memory resource price of the reservation plan and the on-demand plan, the random cost function which consists of costs and total amount of resources constraints was designed. Aimed at minimizing the expected value of the cost function, the optimal amount of memory reserved was obtained on the basis of the probability distribution of memory consumption. The experiments show that the cost of renting recourses by utilizing this method is less than the cost of renting recourses by adopting reservation plan, on-demand plan and other similar methods. |
Keywords: cloud computing virtual machine memory resources reservation cost optimization |
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