Optimized Load Balancing based Task Scheduling in Cloud Environment
The fundamental issue of Task scheduling is one important factor to load balance between the virtual machines in a Cloud Computing network. However, the optimal broadcast methods which have been proposed so far focus only on cluster or grid environment. In this paper, task scheduling strategy based...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Inderscience
2014
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/9326/ http://umpir.ump.edu.my/id/eprint/9326/ http://umpir.ump.edu.my/id/eprint/9326/1/mic1414.pdf |
| Summary: | The fundamental issue of Task scheduling is one important factor to load balance between the virtual machines in a Cloud Computing network. However, the optimal broadcast methods which have been proposed so far focus only on cluster or grid environment. In this paper, task scheduling strategy based on load balancing Quantum Particles Swarm algorithm (BLQPSO) was proposed. The fitness function based minimizing the makespan and data transmission cost. In addition, the salient feature of this algorithm is to optimize node available throughput dynamically using MatLab10A software. Furthermore, the performance of proposed algorithm had been compared with existing PSO and shows their effectiveness in balancing the load. |
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