DSCTS: Dynamic Stochastic Cloud Task Scheduling

被引：1
|
作者：
Chitgar, Negar [1 ]
Jazayeriy, Hamid [2 ]
Rabiei, Milad [1 ]
机构：
[1] Mazandaran Univ Sci & Technol, Dept Comp Engn, Babol, Iran
[2] Noshirvani Univ Technol, Dept Comp Engn, Babol, Iran
来源：
2019 5TH IRANIAN CONFERENCE ON SIGNAL PROCESSING AND INTELLIGENT SYSTEMS (ICSPIS 2019) | 2019年
关键词：
scheduling; load balancing; utilization; cloud performance; stochastic; LOAD-BALANCING ALGORITHM;
D O I：
10.1109/icspis48872.2019.9066063
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Utilization of resources is an important issue in cloud computing which can be achieved by load balancing over virtual machines. In this paper, a dynamic stochastic cloud task scheduling (DSCTS) method is proposed to balance the workload among virtual machines. This method selects a base task, and the machines that can do it are filtered. Then, based on probability theory, the most suitable virtual machine will be selected to perform the task. Finally, more similar machines are chosen for processing other tasks. The results show that the presented method in this paper improves the utilization of the cloud systems by balancing the distribution of workload among the cloud resources.
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页数：5
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