Enhanced Hybrid Approach for Load Balancing Algorithms in Cloud Computing

Authors(2) :-S. Subalakshmi, N. Malarvizhi

In Cloud Computing, the biggest challenge is how to handle and service the millions of requests that are arriving very frequently from end users efficiently and correctly. Load balancing is one of the tactics to overcome this challenge. It is the mechanism of redistributing the workload among the nodes so that no single node is overloaded or under loaded. Load balancing can be achieved using suitable algorithms. Enhanced hybrid approach using Throttled and Equally Spread Current Execution load balancing algorithm has been proposed. This enhanced approach is used to minimize the response time, avoid the bottleneck problem, maximize the services and reduce the machine cost.

Authors and Affiliations

S. Subalakshmi
Computer Science and Engineering, Anna University/IFET College of Engineering, Villupuram, Tamil Nadu, India
N. Malarvizhi
Computer Science and Engineering, Anna University/IFET College of Engineering, Villupuram, Tamil Nadu, India

Load Balancing , Throttled algorithm , Cloud Computing.

  1. Velagapudi Sreenivas, Prathap. M, Mohammed Kemae, "Load Balancing Techniques: Major Challenge in Cloud Computing – A Systematic Review". Proceedings of 5th IEEE International Joint Conference on INC, IMS and IDC, Seoul, Korea, August 2009, pages 44-5l.
  2. Veerawali Behal, Anil Kumar, "Cloud Computing: Performance Analysis of Load Balancing Algorithms in Cloud Heterogeneous Environment", IEEE 2014.
  3. Klaithem Al Nuaimi1, Nader Mohamed1, Mariam Al Nuaimi1, and Jameela Al-Jaroodi2, "A Novel Approach for Dual-Direction Load Balancing and Storage Optimization in Cloud Services", 2014 IEEE 13th International Symposium on Network Computing and Applications.
  4. Raza Abbas Haidri, C. P. Katti, P. C. Saxena, " A Load Balancing Strategy for Cloud Computing Environment", International Conference on Signal Propagation and Computer Technology (ICSPCT), 2014.
  5. Vasudha Arora, S. S. Tyagi, "Performance Evaluation of Load Balancing Policies across Virtual Machines in a Data Center", 2014 International Conference on Reliability, Optimization and Information Technology - ICROIT 2014.
  6. Nagamani H. Shahapure, Jayarekha P, "Load Balancing With Optimal Cost Scheduling Algorithm", International Conference On Computation of Power, Energy, Information and Communication (ICCPEIC), 2014.
  7. Shaoyi Song, TingjieLv, Xia Chen, "A Cooperative Game Method for LoadBalancing inCloud Based on Cost-Efficiency", ICUFN 2014.
  8. Tingting Wang, ZhaobinLiu. , Yi Chen, YujieXu, "Load Balancing Task Scheduling based on Genetic Algorithm in Cloud Computing", 12th International Conference on Dependable, Autonomic and Secure Computing, IEEE 2014
  9. Vishwas Bagwaiya1, Sandeep k. Raghuwanshi, "Hybrid Approach Using Throttled and ESCE LoadBalancingAlgorithmin CloudComputing", International Conference,2014.

Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 136-142
Manuscript Number : CSEIT172244
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

S. Subalakshmi, N. Malarvizhi, "Enhanced Hybrid Approach for Load Balancing Algorithms in Cloud Computing", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.136-142, March-April-2017.
Journal URL : http://ijsrcseit.com/CSEIT172244

Article Preview