A Novel Task Scheduling Method in Cloud Environment using Cuckoo Optimization Algorithm

2015 ◽  
Vol 2 (2) ◽  
pp. 7-20 ◽  
Author(s):  
Afrooz Moradbeiky ◽  
◽  
VahidKhatibi Bardsiri ◽  
Keyword(s):  
Task Scheduling ◽  
Optimization Algorithm ◽  
Cloud Environment ◽  
Cuckoo Optimization Algorithm ◽  
Scheduling Method

$$\varvec{Q}ET$$ Q E T : a QoS-based energy-aware task scheduling method in cloud environment

2017 ◽  
Vol 20 (4) ◽  
pp. 3199-3212 ◽  
Author(s):  
Shengjun Xue ◽  
Yiyun Zhang ◽  
Xiaolong Xu ◽  
Guowen Xing ◽  
Haolong Xiang ◽  
...  
Keyword(s):  
Task Scheduling ◽  
Cloud Environment ◽  
Energy Aware ◽  
Scheduling Method

Task Scheduling Algorithm Research in Grid Computing

2013 ◽  
Vol 380-384 ◽  
pp. 2841-2844
Author(s):  
Yan Xu
Keyword(s):  
Particle Swarm Optimization ◽  
Grid Computing ◽  
Task Scheduling ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Scheduling Algorithm ◽  
Particle Swarm ◽  
Network Resources ◽  
Swarm Optimization ◽  
Scheduling Method

This paper studies effective task scheduling problem in the process of grid computing. Generally, task scheduling in the process of grid computing can be realized in shorter time, which guarantees the efficiency of task scheduling in grid computing. Traditional algorithm can not fully consider the resources load balance in calculating task scheduling in grid computing, resulting in network resources idleness. Finally, it can't reasonably use network resources. In order to avoid the above defects, this paper proposes a task scheduling method in grid computing based on double fitness particle swarm optimization algorithm. In the process of grid computing, channel perception method is applied to forecast the amount of grid computing tasks in the channel so as to provide the basis for task scheduling in grid computing. Realize task scheduling in grid computing by the use of double fitness particle swarm optimization algorithm. Experimental results show that under the condition of larger tasks of grid computing, the performance of task scheduling in grid computing by using the algorithm presented in this paper is superior to the traditional particle swarm optimization algorithm and can get ideal task scheduling result.

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