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v-Mapper: An Application-Aware Resource Consolidation Scheme for Cloud Data Centers

Author

Listed:
  • Aaqif Afzaal Abbasi

    (School of Computer Science, Wuhan University, Wuhan 430072, China)

  • Hai Jin

    (Services Computing Technology & System Laboratory, Cluster & Grid Computing Laboratory, Big Data Technology & System Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Cloud computing systems are popular in computing industry for their ease of use and wide range of applications. These systems offer services that can be used over the Internet. Due to their wide popularity and usage, cloud computing systems and their services often face issues resource management related challenges. In this paper, we present v-Mapper, a resource consolidation scheme which implements network resource management concepts through software-defined networking (SDN) control features. The paper makes three major contributions: (1) We propose a virtual machine (VM) placement scheme that can effectively mitigate the VM placement issues for data-intensive applications; (2) We propose a validation scheme that will ensure that a cloud service is entertained only if there are sufficient resources available for its execution and (3) We present a scheduling policy that aims to eliminate network load constraints. We tested our scheme with other techniques in terms of average task processing time, service delay and bandwidth usage. Our results demonstrate that v-Mapper outperforms other techniques and delivers significant improvement in system’s performance.

Suggested Citation

  • Aaqif Afzaal Abbasi & Hai Jin, 2018. "v-Mapper: An Application-Aware Resource Consolidation Scheme for Cloud Data Centers," Future Internet, MDPI, vol. 10(9), pages 1-17, September.
    • Handle: RePEc:gam:jftint:v:10:y:2018:i:9:p:90-:d:169997
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    References listed on IDEAS

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    1. Fan, Ming & Kumar, Subodha & Whinston, Andrew B., 2009. "Short-term and long-term competition between providers of shrink-wrap software and software as a service," European Journal of Operational Research, Elsevier, vol. 196(2), pages 661-671, July.
    2. Haag, Steffi & Eckhardt, Andreas, 2014. "Organizational Cloud Service Adoption - A Scientometric and Content-based Literature Analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 82769, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

    1. Martin Fraga & Matías Micheletto & Andrés Llinás & Rodrigo Santos & Paula Zabala, 2022. "Flow Scheduling in Data Center Networks with Time and Energy Constraints: A Software-Defined Network Approach," Future Internet, MDPI, vol. 14(2), pages 1-26, February.
    2. Symeon Papavassiliou, 2020. "Software Defined Networking (SDN) and Network Function Virtualization (NFV)," Future Internet, MDPI, vol. 12(1), pages 1-3, January.

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