QoS-DPSO: QoS-aware Task Scheduling for Cloud Computing System

被引:27
|
作者
Jing, Weipeng [1 ]
Zhao, Chuanyu [2 ]
Miao, Qiucheng [1 ]
Song, Houbing [3 ]
Chen, Guangsheng [1 ]
机构
[1] Northeast Forestry Univ, Coll Informat & Comp Engn, Harbin 150040, Peoples R China
[2] Comp Ctr Heilongjiang, Harbin 150000, Peoples R China
[3] Embry Riddle Aeronaut Univ, Dept Elect Comp Software & Syst Engn, Daytona Beach, FL 32114 USA
基金
国家重点研发计划; 中国国家自然科学基金; 中国博士后科学基金; 黑龙江省自然科学基金;
关键词
Cloud computing; Quality of service; Fault-tolerant; Task scheduling; Multi-objective; ALGORITHM; OPTIMIZATION; FRAMEWORK;
D O I
10.1007/s10922-020-09573-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Dynamic provisioning of computational resources in cloud computing system is a challenging problem. With many VMs being deployed in clouds, managing so much resources to stable work becomes a critical problem. Therefore, how to meet the different quality of service (QoS), we consider the service quality requirements is very important. In this paper, we address this problem. We first establish a QoS scheduling model by incorporating the cloud characteristics, and then, we develop a task scheduling objects to ensure faults can be tolerated during the task exaction. Finally, we proposed a QoS-aware scheduling algorithm, QoS-DPSO, to satisfy the QoS required in cloud computing systems. For the target requirements of QoS requirement, we take the time, reliability and cost as a single object problem. Experimental results show that QoS-DPSO can effectively improve the performance and obtain the high reliability.
引用
收藏
页数:29
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