Effective Fault Handling Algorithm for Load Balancing Using Ant Colony Optimization in Cloud Computing

Cloud computing is an emerging technology in distributed computing. It is a collection of interconnected virtual machines as to facilitate pay per use model as per the demand and requirement of the user. The primary aim of cloud computing is to provide efficient access to remote and geographically distributed resources without losing the property of reliability. In order to make these virtual machines hassle free, a distribution of work load (Load balancing) is done properly. Since in cloud computing the processing is done on remote computers hence there are more chances of errors, due to the undetermined latency and lose control over computing node. So it is very necessary to maintain the reliability of remote computers. That is why it is mandatory to create a fault tolerant infrastructure for cloud computing. This paper focuses on to balance the load of entire system while trying to maintain the reliability of the system by creating it as a fault tolerant system. Our objective is to study the existing ACO’s and to develop an effective fault tolerant system using ant colony optimization. Paper describes an algorithm in order to make the system more reliable and fault tolerant.