Thermal-Aware Virtual Machine Allocation for Heterogeneous Cloud Data Centers

Thermal-Aware Virtual Machine Allocation for Heterogeneous Cloud Data Centers

Blog Article

In recent teal horse blanket years, a large and growing body of literature has addressed the energy-efficient resource management problem in data centers.Due to the fact that cooling costs still remain the major portion of the total data center energy cost, thermal-aware resource management techniques have been employed to make additional energy savings.In this paper, we formulate the problem of minimizing the total energy consumption of a heterogeneous data center (MITEC) as a non-linear integer optimization problem.

We consider both computing and cooling energy consumption and provide a thermal-aware Virtual Machine (VM) allocation heuristic based on the genetic algorithm.Experimental results show that, using the proposed formulation, up to ashy bines protein powder 30 % energy saving is achieved compared to thermal-aware greedy algorithms and power-aware VM allocation heuristics.