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Resource ratio based virtual machine placement in heterogeneous cloud data centres

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Abstract

Server consolidation through virtualization improves resource utilization significantly in Cloud Data Centres (CDCs). We study the case of a CDC hosting heterogeneous Physical Machines (PMs) as a variable size vector bin-packing problem. The PMs have different configurations of multiple resources like CPU, RAM, Disk Storage and Network Bandwidth. In this paper, we propose PMNeAR-vector heuristic for PM selection in PM-heterogeneity aware Virtual Machine (VM) initial placement. The proposed heuristic is compared with well-known heterogeneity aware FFD-DRR and BFD bin centric heuristics using a dataset with random instances of both VMs and PMs of heterogeneous configurations. Fifty rounds of VM initial placement simulation experiments were conducted to validate the average resource wastage. The results show that on average FFD-DRR and BFD bin centric heuristics are wasting 22.62% and 37.27% more resource units compared to the proposed PMNeAR-vector heuristic.

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Acknowledgements

The authors thank the Department of Science and Technology for their financial support (SR/FST/ETI-349/2013) under Fund for Improvement of S&T Infrastructure in Universities and Higher Educational Institutions.

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Authors and Affiliations

  1. Centre for Information Super Highway (CISH), SASTRA Deemed University, Thanjavur, India

    Saikishor Jangiti & V S Shankar Sriram

  2. School of Computing, SASTRA Deemed University, Thanjavur, India

    Sriram E, Rohith Jayaraman & Harini Ramprasad

Authors
  1. Saikishor Jangiti
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  2. Sriram E
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  3. Rohith Jayaraman
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  4. Harini Ramprasad
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  5. V S Shankar Sriram
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Correspondence to V S Shankar Sriram.

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Jangiti, S., E, S., Jayaraman, R. et al. Resource ratio based virtual machine placement in heterogeneous cloud data centres. Sādhanā 44, 236 (2019). https://doi.org/10.1007/s12046-019-1215-9

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  • DOI: https://doi.org/10.1007/s12046-019-1215-9

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