Cost-based scheduling algorithm for workflow-based application in optical grid

Author(s):  
Lingzhi Zhang ◽  
Wei Guo ◽  
Yaohui Jin ◽  
Weiqiang Sun ◽  
Weisheng Hu
2006 ◽  
Author(s):  
Wei Guo ◽  
Zhenyu Sun ◽  
Zhengyu Wang ◽  
Pengshan Zhang ◽  
Jing Ma ◽  
...  

2011 ◽  
Author(s):  
Lingzhi Zhang ◽  
Wei Guo ◽  
Yaohui Jin ◽  
Weiqiang Sun ◽  
Weisheng Hu

2007 ◽  
Author(s):  
Liying Zhu ◽  
Zhenyu Sun ◽  
Wei Guo ◽  
Yaohui Jin ◽  
Weiqiang Sun ◽  
...  

2008 ◽  
Vol 26 (17) ◽  
pp. 3011-3020 ◽  
Author(s):  
Zhenyu Sun ◽  
Wei Guo ◽  
Zhengyu Wang ◽  
Yaohui Jin ◽  
Weiqiang Sun ◽  
...  

Author(s):  
Shailendra Raghuvanshi ◽  
Priyanka Dubey

Load balancing of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of task scheduling in clouds. Whenever certain VMs are overloaded and remaining VMs are under loaded with tasks for processing, the load has to be balanced to achieve optimal machine utilization. In this paper, we propose an algorithm named honey bee behavior inspired load balancing, which aims to achieve well balanced load across virtual machines for maximizing the throughput. The proposed algorithm also balances the priorities of tasks on the machines in such a way that the amount of waiting time of the tasks in the queue is minimal. We have compared the proposed algorithm with existing load balancing and scheduling algorithms. The experimental results show that the algorithm is effective when compared with existing algorithms. Our approach illustrates that there is a significant improvement in average execution time and reduction in waiting time of tasks on queue using workflowsim simulator in JAVA.


Author(s):  
Mohammed Mahfoudi ◽  
Moulhime El Bekkali ◽  
Abdellah Najid ◽  
Mohamed El Ghazi ◽  
Said Mazer

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