DocumentCode :
1793801
Title :
Comparative study of different cloud computing load balancing techniques
Author :
Hans, Abhinav ; Kalra, Sandeep
Author_Institution :
Guru Nanak Dev Univ., Amritsar, India
fYear :
2014
fDate :
7-8 Nov. 2014
Firstpage :
395
Lastpage :
397
Abstract :
Cloud computing is one of the ongoing scalable approach for the cloud based services. The cloud computing with its all beneficial advantages leads to a new era where the solution to the infrastructure remedies and many others are made to overcome. Since the technology is new therefore the development of the whole structure is not so efficient. It does have a lot of issues on which various scientists and others are working on. Load balancing is one of the issue of the cloud computing which involves the dividing the load equally so the throughput is high with less response time. For this purpose various load balancing techniques and algorithms have been proposed. In this paper we will study the different types of load balancing techniques and make a comparative analysis among all the existing techniques.
Keywords :
cloud computing; resource allocation; cloud computing; load balancing techniques; Algorithm design and analysis; Cloud computing; Computational modeling; Genetic algorithms; Load management; Load modeling; Servers; Ant colony; Generalized Priority Algorithm; Genetic Algorithm; HoneyBee foraging; Join Idle Queue; Shortest Job First; Stochastic Hill Climbing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on
Conference_Location :
Greater Noida
Print_ISBN :
978-1-4799-5096-6
Type :
conf
DOI :
10.1109/MedCom.2014.7006040
Filename :
7006040
Link To Document :
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