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

delete2020-10-14
delete30
PRE
AI
W
Weipeng Jing *
Q
Qiucheng Miao
H
Houbing Song
G
Guangsheng Chen
DOI:10.1007/s10922-020-09573-6delete
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摘要

摘要

En 中文
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.
Keyword:
Cloud computing
Quality of service
Fault-tolerant
Task scheduling
Multi-objective
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期刊

Journal of Network and Systems Management 封面图
Journal of Network and Systems Management
IF:
3.9
论文数:
1.0K
被引数:
1.3K

机构

N
northeast forestry university - china
学者数:
1.2W
论文数: 7.9K
被引数: 9
E
Embry-Riddle Aeronautical University
学者数:
1.3K
论文数: 1.2K
被引数: 5
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