In the current years, the broad utilization of cloud computing in IT industry has prompted excessive utilization of energy in the host and subsequently data centers, which obviously, has turned into a matter of thought. To spare energy in cloud, dynamic virtual machine consolidation and power aware mechanisms can be thought of one of the best strategies. In this approach, a portion of the under-stacked physical machines (PMs)are place either into low-control mode or are turned off with the assistance of live relocation of Virtual Machines(VMs). Fault tolerance mechanism with dynamic relocation is proposed through this literature. Proposed work presents a novel approach of conserving energy considering parameters such as fan speed, temperature, power consumption and energy. Fan speed is allocate to each Virtual Machine(VM) along with temperature. Deterioration of virtual machines are detected at distinct level of examination. 1) Fan speed is compared against temperature, In case Fan speed is lower as compared to temperature then VM with temperature rise upon load is detected. 2)Energy consumption is another criteria used to detect deterioration. Deterioration can be detected at any level and if detected, dynamic relocation through Live VM migration is done and progress monitoring mechanism is used to conserve energy. Using the approach energy efficiency is achieved along with reliability. Simulation is conducted in Netbeans with CLoudsim 3.0.3. Proposed approach conserve energy up to 25% .

Fault Tolerance; Energy efficiency; Reliability; Migration

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