A dynamic level scheduling algorithm based on AHP

被引：0
|
作者：
Jiao, Jintao [1 ,2 ]
Yu, Wensen [1 ,3 ]
Guo, Lei [1 ,3 ]
机构：
[1] School of Mathematics and Computer Science, Wuyi University, China
[2] School of Information Management, Jiangxi University of Finance and Economics, China
[3] The Key Laboratory of Cognitive Computing and Intelligent Information Processing of Fujian Education Institutions, China
来源：
UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science | 2020年 / 82卷 / 01期
关键词：
Cloud computing - Hierarchical systems - Scheduling;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Batch scheduling strategies mainly focus on computing resources allocation in the existing cloud computing environment. Considering the heterogeneity of computing resources and the risk undertaken by computing resources, this paper proposes a dynamic level scheduling algorithm based on AHP (DLSAHP). From the perspective of cloud computing resources providers, the algorithm uses scale 1-9 to fully consider the risk undertaken by computing resources. The experiment results show that DLSAHP can effectively improve the rate of successful tasks execution within deadline, at the same time the profit in one unit of time is also increased. © 2020, Politechnica University of Bucharest. All rights reserved.
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页码：117 / 130
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