RELIABILITY AWARE MECHANISM TO ENSURE INCREASED FAULT TOLERANCE USING TEMPERATURE DRIVEN THROTTLE LOAD BALANCER

Cloud computing provides resources to the machines having limited resources associated with them. Cloud resources although are infinite but still lacks as the users of the cloud increases day by day. Early completion of job assigned to the virtual machine considerably solves the problem of starvation and availability. This paper proposed a mechanism to handle tasks from various sources submitted to the cloud. The mechanism consist of two phases: first phase is used to monitor the virtual machines that lead to selection of optimal VM having sufficient resources and second phase allocate the resources to the tasks. Continues monitoring process using throttle load balancing, also checks the load on individual machine. In case load increases, migration to the next VM is initiated. The parameters considered in the proposed system follow reliability metric. The metric enhancement is the main objective of proposed system. The overall mechanism suggested through the proposed system fall under proactive fault tolerance. The simulation is conducted within Netbeans IDE and cloudsim 4.0 and evaluation parameters are load balancing degree, throughput and execution cost. Performance enhancement by 6% is observed which is significant proving worth of study.