[1]李慧,雷丽晖. 云计算环境下基于马氏距离的任务调度策略研究[J].计算机技术与发展,2017,27(01):53-56.
　LI Hui,LEI Li-hui. Research on Task Scheduling Strategy in Cloud Computing Based on Mahalanobis Distance[J].,2017,27(01):53-56.
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 云计算环境下基于马氏距离的任务调度策略研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年01期
页码:
53-56
栏目:
智能、算法、系统工程
出版日期:
2017-01-10

文章信息/Info

Title:
 Research on Task Scheduling Strategy in Cloud Computing Based on Mahalanobis Distance
文章编号:
1673-629X（2017)01-0053-04
作者:
 李慧; 雷丽晖
 陕西师范大学 计算机科学学院
Author(s):
 LI Hui; LEI Li-hui
关键词:
 ; 云计算; 任务调度; 马氏距离; CloudSim
Keywords:
 ; cloud computing; task scheduling; Mahalanobis Distance; CloudSim
分类号:
TP31
文献标志码:
A
摘要:
 针对现有的云计算环境下的任务调度策略缺乏考虑用户任务偏好从而导致虚拟机资源利用不充分、用户对服务质量满意度不高等问题，提出了云计算环境下基于马氏距离的任务调度策略。该策略利用任务偏好指数与资源性能评分两个概念；任务调度器依据任务偏好指数与资源性能评分之间的马氏距离，为任务选择马氏距离最小的虚拟机资源进行映射。仿真实验结果表明，该策略是有效的，满足了根据任务的偏好差异分配不同特性的虚拟机资源的需求，使得不同偏好的用户同时拥有高质量的服务。
Abstract:
 According to the fact that current scheduling algorithms in cloud computing platform neglect the user task preferences so that virtual resources in the cloud cannot be fully used and users cannot get high quality of services,a new task scheduling strategy based on Mahalanobis Distance is proposed. It makes use of two items like task preferences index and virtual resource performance index,to calcu-late the Mahalanobis Distance. According to the Mahalanobis Distance,the task scheduler allocates the user tasks to the suitable virtual machines. Simulation results show that this strategy is effective,which not only allocates user tasks to virtual machines with different char-acteristics according to the different user task preferences,but also ensures that different users can get high quality of services at the same time.

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更新日期/Last Update: 2017-04-01