Author : Pooja Anjee 1
Date of Publication :7th April 2016
Abstract: With the increase in adoption and deployment of cloud computing services in recent times, most users are moving from traditional computing to cloud computing as it gives various favourable features like on-demand access, broad network access, rapid elasticity, etc. All these services incorporate sharing of resources which leads to an increase in load on a single machine. This increase in load causes further overall degradation of system performance. Resource allocation and Task scheduling are some of the major problems associated with Load balancing. A simulator is used to model a cloud computing system where we can comprehend the problems identified with load balancing (effective resource utilization) and develop algorithms to solve the problem. The algorithm must reassign the total load to each resource node of the system as a whole. This paper presents answers for solving load related problems in distributed computing.
Reference :
-
- Zenon Chaczko, Venkatesh Mahadevan, Shahrzad Aslanzadeh, Christopher Mcdermid, (2011), “Availability and Load Balancing in Cloud Computing”, International Conference on Computer and Software Modeling IPCSIT vol.14 IACSIT Press, Singapore 2011
- Zhong Xu, Rong Huang, (2009), “Performance Study of Load Balancing Algorithms in Distributed Web Server Systems”, CS213 Parallel and Distributed Processing Project Report.
- P. Warstein, H. Situ and Z. Huang, (2010), “Load balancing in a cluster computer”, In the proceedings of the seventh International Conference on Parallel and Distributed Computing, Applications and Technologies, IEEE
- M. Beltran, A. Guzman and J. L. Bosque, (2011), “Dealing with heterogeneity in clusters”, In the proceedings of the Fifth International Symposium on Parallel and Distributed Computing, ISPDC.
- Ratan Mishra and Anant Jaiswal, ― Ant Colony Optimization: A solution of Load Balancing in Cloud, International Journal of Web & Semantic Technology (IJWesT), April 2012
- Che-Lun Hung, Hsiao-hsi Wang and Yu-Chen Hu, ― Efficient Load Balancing Algorithm for Cloud Computing Network, IEEE Vol. 9, pp: 70-78, 2012
- T. Kokilavani, Dr. D. I. George Amalarethinam ― Load Balanced Min-Min Algorithm for Static Meta Task Scheduling in Grid computing, International Journal of Computer Applications Vol- 20 No.2, 2011
- Karanpreet Kaur, Ashima Narang, Kuldeep Kaur, "Load Balancing Techniques of Cloud Computing", International Journal of Mathematics and Computer Research, April 2013.
- Upendra Bhoi, Purvi N. Ramanuj ― Enhanced Maxmin Task Scheduling Algorithm in Cloud Computing, International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 2, Issue 4, April 2013.
- Dhinesh B. L. D., P. V. Krishna ― Honey bee behaviour inspired load balancing of tasks in cloud computing environments, in proc. Applied Soft Computing, volume 13, Issue 5, May 2013, Pages 2292- 2303.
- Rahmeh O. A., Johnson P., Taleb-Bendiab A., A Dynamic Biased Random Sampling Scheme for scalable and reliable Grid Networks‖, The INFOCOMP Journal of Computer Science, vol. 7, 1-10
- Paper on CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services Rodrigo N. Calheiros, Rajiv Ranjan1, César A. F. De Rose, and Rajkumar Buyya