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Regionalized Lifetime-aware Virtual Machine Consolidation Algorithm for Cloud Datacenters

Varasteh Hajipour, Amir | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47814 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Goudarzi, Maziar
  7. Abstract:
  8. In the past few years, data centers energy consumption and their maintenance costs have become an important issue in technology world. Server consolidation using virtualization and VM live migration allows cloud data centers to improve resource utilization and hence energy efficiency. In order to save energy, consolidation techniques try to turn off the idle servers, while because of workload fluctuations, these offline servers should be turned on to support the increased resource demands. These repeated on-off cycles could affect the hardware reliability and wear-and-tear of servers and increase the maintenance and replacement costs. On the other hand, over-aggressive strategies would increase the utilization and hence temperature of the servers carelessly. In this paper we propose a new server consolidation approach which minimizes the energy consumption of the data center in a reliability-friendly way. Therefore, the objective of this research is to minimize the total data center costs including servers, network switches, cooling systems energy, and server maintenance costs due to reliability degradation. Moreover, due to NP-hard nature of server consolidation problem, we propose a multi-agent hierarchical structure to reduce the search space of the problem and speedup the algorithm run-time. We provide several heuristics to solve the problem and modeled and implemented our work using CloudSim open-source simulator. We evaluate our heuristics against state-of-the-art work in this area. Our experiments using real data center workloads show that while maintaining an acceptable QoS, the proposed algorithm will decrease the reliability utility only about 6%, while reducing data center total energy consumption about 73% and the total data center costs about 70%
  9. Keywords:
  10. Data Center ; Reliability ; Cloud Computing ; Energy Optimization ; Virtual Data Center ; Virtual Machine Consolidation

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