Thermal-Aware Virtual Machine Allocation for Heterogeneous Cloud Data Centers

Abbas Akbari, Ahmad Khonsari and Seyed Mohammad Ghoreyshi
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Abbas Akbari: School of Electrical and Computer Engineering, University of Tehran, Tehran 146899-5513, Iran
Ahmad Khonsari: School of Electrical and Computer Engineering, University of Tehran, Tehran 146899-5513, Iran
Seyed Mohammad Ghoreyshi: School of Mathematical Sciences, University of Southampton, Southampton SO14 0AB, UK

Energies, 2020, vol. 13, issue 11, 1-15

Abstract: In recent 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 30 % energy saving is achieved compared to thermal-aware greedy algorithms and power-aware VM allocation heuristics.

Keywords: thermal-aware; energy-efficiency; Virtual Machine; heterogeneous data center; Cloud computing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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