Manuscript Number : IJSRSET173343
Dynamic Load balancing in Cloud Computing Using Ant Colony Optimization
Authors(3) :-Samriddhi Gupta, Abhishek Bajpai, Dr. Neeraj Kumar Tiwari
As the cloud computing is a new style of computing over internet. It has many advantages along with some crucial issues to be resolved in order to improve reliability of cloud environment. These issues are related with the load management, fault tolerance and different security issues in cloud environment. In this paper the main concern is to prevent bottleneck in cloud computing. The load can be CPU load, memory capacity, delay or network load. Load balancing is the process of distributing the load among various nodes of a distributed system to improve both resource utilization and job response time while also avoiding a situation where some of the nodes are heavily loaded while other nodes are idle or doing very little work. Load balancing ensures that all the processor in the system or every node in the network does approximately the equal amount of work at any instant of time. Many methods to resolve this problem has been came into existence like Particle Swarm Optimization, hash method, genetic algorithms and several scheduling based algorithms are there. In this paper we are proposing a method based on Ant Colony optimization to resolve the problem of load balancing in cloud environment
Samriddhi Gupta
Cloud computing, Advantages and Disadvantages , Ant Colony Optimization, Swarm intelligence
Publication Details
Published in :
Volume 3 | Issue 3 | May-June 2017 Article Preview
Department of Computer Applications, ShriRamswaroop Memorial University (SRMU ,UGC Affiliated), Lucknow, Uttar Pradesh, India
Abhishek Bajpai
Assistant Professor Computer Applications, ShriRamswaroop Memorial University (SRMU ,UGC Affiliated), Lucknow Uttar Pradesh, India
Dr. Neeraj Kumar Tiwari
Head Of Department Computer Application, ShriRamswaroop Memorial University(SRMU ,UGC Affiliated), Lucknow, Uttar Pradesh, India
Date of Publication :
2017-06-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
145-150
Manuscript Number :
IJSRSET173343
Publisher : Technoscience Academy
Journal URL :
https://ijsrset.com/IJSRSET173343