Improving QoS Parameters for Cloud Data Centers using Dynamic Particle Swarm Optimization Load Balancing Algorihm
Abstract & Details
Research Area
Computer Engineering
Keywords
Cloud Computing
Load Balancing
Virtual Machine
Scheduling
Particle Swarm Optimization
Modified Throttled
FCFS
CloudSim
Response time
Data Center Processing Time
Cost
Abstract
Due to popularity of Cloud computing environment, the cloud computing users are increasing day by day and that has become one of the important challenge for the cloud providers in terms of load balancing. Load balancing distributes the traffic evenly over multiple paths. In this research work, we have proposed the Dynamic Improved PSO Load balancing algorithm and implement it over CloudSim toolkit. This toolkit assisted the modeling and generation of virtual machines in a simulated manner such that datacenters, jobs and their mapping to VMs can be done on a same node whereas provide the desirable result. Therefore, the results are compared with the existing load balancing algorithms namely Modified Throttled, FCFS and Particle Swam Optimization based on their performance using CloudSim Simulator. Simulation outcomes are recorded in terms of the Response time and datacenter processing time of these algorithms along with its performance and cost details.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Bharti Sharma | LDRP Institute of Technology and Research |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Sharma, Bharti (2016). Improving QoS Parameters for Cloud Data Centers using Dynamic Particle Swarm Optimization Load Balancing Algorihm. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 265-272.
MLA Style
Sharma, Bharti. "Improving QoS Parameters for Cloud Data Centers using Dynamic Particle Swarm Optimization Load Balancing Algorihm." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 265-272.
IEEE Style
Bharti Sharma, "Improving QoS Parameters for Cloud Data Centers using Dynamic Particle Swarm Optimization Load Balancing Algorihm," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 265-272, 2016.
Vancouver Style
Sharma Bharti. Improving QoS Parameters for Cloud Data Centers using Dynamic Particle Swarm Optimization Load Balancing Algorihm. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):265-272.
Harvard Style
Sharma, Bharti (2016) 'Improving QoS Parameters for Cloud Data Centers using Dynamic Particle Swarm Optimization Load Balancing Algorihm', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 265-272.
Chicago Style
Sharma, Bharti. "Improving QoS Parameters for Cloud Data Centers using Dynamic Particle Swarm Optimization Load Balancing Algorihm." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 265-272.
Turabian Style
Sharma, Bharti. "Improving QoS Parameters for Cloud Data Centers using Dynamic Particle Swarm Optimization Load Balancing Algorihm." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 265-272.
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