Research on Task Allocation and Resource Scheduling Method in Cloud Environment

Author(s):  
Pengpeng Wang ◽  
Kaikun Dong ◽  
Hongri Liu ◽  
Bailing Wang ◽  
Wei Wang ◽  
...  
2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Zhijia Chen ◽  
Yuanchang Zhu ◽  
Yanqiang Di ◽  
Shaochong Feng

The resources in cloud environment have features such as large-scale, diversity, and heterogeneity. Moreover, the user requirements for cloud computing resources are commonly characterized by uncertainty and imprecision. Hereby, to improve the quality of cloud computing service, not merely should the traditional standards such as cost and bandwidth be satisfied, but also particular emphasis should be laid on some extended standards such as system friendliness. This paper proposes a dynamic resource scheduling method based on fuzzy control theory. Firstly, the resource requirements prediction model is established. Then the relationships between resource availability and the resource requirements are concluded. Afterwards fuzzy control theory is adopted to realize a friendly match between user needs and resources availability. Results show that this approach improves the resources scheduling efficiency and the quality of service (QoS) of cloud computing.


2016 ◽  
Vol 23 (11) ◽  
pp. 2906-2916 ◽  
Author(s):  
Fei Long ◽  
Chang Yang ◽  
Hui-gui Rong ◽  
Jian-fang Li

2021 ◽  
Vol 71 ◽  
pp. 102141
Author(s):  
Minghai Yuan ◽  
Yadong Li ◽  
Lizhi Zhang ◽  
Fengque Pei

2017 ◽  
Vol 18 (4) ◽  
pp. 735-746 ◽  
Author(s):  
Xin Ye ◽  
Jia Li ◽  
Sihao Liu ◽  
Jiwei Liang ◽  
Yaochu Jin

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