Ant colony Optimization: A Solution of Load balancing in Cloud

• Published in: International journal of Web & Semantic Technology 2012-04, Vol.3 (2), p.33-50
• Main Author: Mishra, Ratan
• Format: Article
• Language: English
• Subjects: Algorithms; Ant colony optimization; Cloud computing; Genetic algorithms; Internet; Load balancing; Load balancing (computing); Networks
• ISSN: 0976-2280; 0975-9026
• DOI: 10.5121/ijwest.2012.3203

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 load balancing 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 have came into existence like Particle Swarm Optimization, hash method, genetic algorithms and several scheduling based algorithms are there. In this paper, the authors are proposing a method based on Ant Colony optimization to resolve the problem of load balancing in cloud environment.