International Journal of Distributed and Cloud Computing

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Review of Optimize Load Balancing Algorithms in Cloud


Affiliations
1 Department of Computer Science, GICTS, RGPV, Gwalior, Madhya Pradesh, India
2 Department of Computer Science, Samrat Ashok Technical Institute, Vidisha, Madhya Pradesh, India
     

   Subscribe/Renew Journal


With cloud computing, new facilities in the information technology (IT) emerge from the convergence of occupational and technology viewpoints which furnish users entrance to IT resources anywhere and any time by pay-per-use fashion. Consequently, it should source eminent operative gain to the user and instantaneously ought to be beneficial for the cloud service provider. To achieve this goal, several challenges have to be confronted, where load balancing is single of them. The optimal choice of a resources for a specific job does not mean that the nominated resource persists enhanced for the entire execution of the job. The supply under loading/over-loading must be avoided which could be enlarged by appropriate load balancing mechanisms. But, to the best of our knowledge, in spite of the significance of load balancing methods and appliances, there is not any comprehensive and systematic review about and analyzing and studying its significant techniques. In this paper we study about cloud architecture or different load balancing technique at the end of our paper we compare four optimization based load balancing technique and gives the idea about new technique over existing ones.


Keywords

CC, VM, ACO, PSO, TLBPSO.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Nitika., Shaveta., & Raj, G. (2012). Comparative analysis of load balancing algorithms in cloud computing.

  • International Journal of Advanced Research in Computer Engineering & Technology, May, 1(3), 120-124.

  • Haryani, N., & Jagli, D. (2014). Dynamic method for load balancing in cloud computing. IOSR Journal of Computer Engineering, July-August, 16(4), 23-28.

  • Brar, H. R., Thapar, V., & Kishor, K. (2014). A survey of load balancing algorithms in cloud computing.

  • International Journal of Computer Science Trends and Technology, May-June, 2(3), 103-106.

  • Sran, N., & Kaur, K. (2013). Comparative analysis of existing load balancing techniques in cloud computing.

  • International Journal of Engineering Science Invention, January, 2(1), 60-63.

  • Kashyap, D., & Viradiya, J. (2014). A survey of various load balancing algorithms in cloud computing.

  • International Journal of Scientific & Technology Research, November, 3(11), 115-119.

  • Kumar, R., & Singh, C. (2015). Survey: Cloud partitioning using load balancing approach for public cloud infrastructure. International Journal of Engineering Sciences & Research Technology, April, 4(4), 170-176.

  • Sethi, S., Sahu, A., & Jena, S. K. (2012). Efficient load balancing in cloud computing using fuzzy logic.

  • IOSR Journal of Engineering, July, 2(7), 65-71.

  • Suguna, S., & Barani, R. (2015). Simulation of dynamic load balancing algorithma bonfring. International Journal of Software Engineering and Soft Computing, July, 5(1), 1-6.

  • Dimri, S. C. (2015). Various load balancing algorithms in cloud environment. International Journal of Emerging Research in Management &Technology, July, 4(7), 263-266.

  • Pilavare, M. S., & Desai, A. (2015). A survey of soft computing techniques based load balancing in cloud computing. International Journal of Computer Applications, January, 110(14), 1252-1256.


Abstract Views: 284

PDF Views: 2




  • Review of Optimize Load Balancing Algorithms in Cloud

Abstract Views: 284  |  PDF Views: 2

Authors

Ankur Kushwaha
Department of Computer Science, GICTS, RGPV, Gwalior, Madhya Pradesh, India
Priya Pathak
Department of Computer Science, GICTS, RGPV, Gwalior, Madhya Pradesh, India
Sandeep Gupta
Department of Computer Science, Samrat Ashok Technical Institute, Vidisha, Madhya Pradesh, India

Abstract


With cloud computing, new facilities in the information technology (IT) emerge from the convergence of occupational and technology viewpoints which furnish users entrance to IT resources anywhere and any time by pay-per-use fashion. Consequently, it should source eminent operative gain to the user and instantaneously ought to be beneficial for the cloud service provider. To achieve this goal, several challenges have to be confronted, where load balancing is single of them. The optimal choice of a resources for a specific job does not mean that the nominated resource persists enhanced for the entire execution of the job. The supply under loading/over-loading must be avoided which could be enlarged by appropriate load balancing mechanisms. But, to the best of our knowledge, in spite of the significance of load balancing methods and appliances, there is not any comprehensive and systematic review about and analyzing and studying its significant techniques. In this paper we study about cloud architecture or different load balancing technique at the end of our paper we compare four optimization based load balancing technique and gives the idea about new technique over existing ones.


Keywords


CC, VM, ACO, PSO, TLBPSO.

References