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Stable Marriage Matching for Homogenizing Load Distribution in Cloud Data Center

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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLV

Part of the book series: Lecture Notes in Computer Science ((TLDKS,volume 12390))

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Abstract

Running a sheer virtualized data center with the help of Virtual Machines (VM) is the de facto-standard in modern data centers. Live migration offers immense flexibility opportunities as it endows the system administrators with tools to seamlessly move VMs across physical machines. Several studies have shown that the resource utilization within a data center is not homogeneous across the physical servers. Load imbalance situations are observed where a significant portion of servers are either in overloaded or underloaded states. Apart from leading to inefficient usage of energy by underloaded servers, this might lead to serious QoS degradation issues in the overloaded servers.

In this paper, we propose a lightweight decentralized solution for homogenizing the load across different machines in a data center by mapping the problem to a Stable Marriage matching problem. The algorithm judiciously chooses pairs of overloaded and underloaded servers for matching and subsequently VM migrations are performed to reduce load imbalance. For the purpose of comparisons, three different greedy matching algorithms are also introduced. In order to verify the feasibility of our approach in real-life scenarios, we implement our solution on a small test-bed. For the larger scale scenarios, we provide simulation results that demonstrate the efficiency of the algorithm and its ability to yield a near-optimal solution compared to other algorithms. The results are promising, given the low computational footprint of the algorithm.

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Authors and Affiliations

  1. Autonomous Systems and Networks Research Group, Department of Computer Science, Oslo Metropolitan University, Oslo, Norway

    Disha Sangar, Ramesh Upreti, Hårek Haugerud, Kyrre Begnum & Anis Yazidi

Authors
  1. Disha Sangar
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  2. Ramesh Upreti
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  3. Hårek Haugerud
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  4. Kyrre Begnum
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  5. Anis Yazidi
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Corresponding author

Correspondence to Anis Yazidi .

Editor information

Editors and Affiliations

  1. IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  2. Vienna University of Technology, Vienna, Austria

    A Min Tjoa

  3. University of Pau and Pays de l'Adour, Anglet, France

    Richard Chbeir

  4. Open University of Cyprus, Nicosia, Cyprus

    Yannis Manolopoulos

  5. Tokyo Metropolitan University, Tokyo, Japan

    Hiroshi Ishikawa

  6. University of Zaragoza, Zaragoza, Spain

    Sergio Ilarri

  7. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Apostolos Papadopoulos

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Sangar, D., Upreti, R., Haugerud, H., Begnum, K., Yazidi, A. (2020). Stable Marriage Matching for Homogenizing Load Distribution in Cloud Data Center. In: Hameurlain, A., et al. Transactions on Large-Scale Data- and Knowledge-Centered Systems XLV. Lecture Notes in Computer Science(), vol 12390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-62308-4_7

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  • DOI: https://doi.org/10.1007/978-3-662-62308-4_7

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  • Online ISBN: 978-3-662-62308-4

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