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International Conference on Model Driven Engineering Languages and Systems

MODELS 2014: Model-Driven Engineering Languages and Systems pp 18–34Cite as

A Model-Based System to Automate Cloud Resource Allocation and Optimization

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8767))

Abstract

Cloud computing offers a flexible approach to elastically allocate computing resources for web applications without significant upfront hardware acquisition costs. Although a diverse collection of cloud resources is available, choosing the most optimized and cost-effective set of cloud resources to meet the QoS requirements is not a straightforward task. Manual load testing, monitoring of resource utilization, followed by bottleneck analysis is time consuming and complex due to limitations of the abstractions of load testing tools, challenges characterizing resource utilization, significant manual test orchestration effort, and complexity of selecting resource configurations to test. This paper introduces a model-based approach to simplify, optimize, and automate cloud resource allocation decisions to meet QoS goals for web applications. Given a high-level application description and QoS requirements, the model-based approach automatically tests the application under a variety of load and resources to derive the most cost-effective resource configuration to meet the QoS goals.

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Author information

Authors and Affiliations

  1. Vanderbilt University, Nashville, TN, 37212, USA

    Yu Sun & Jules White

  2. Siemens Industry, Wendell, NC, 27951, USA

    Sean Eade

Authors
  1. Yu Sun
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  2. Jules White
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  3. Sean Eade
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Editor information

Editors and Affiliations

  1. Queen’s University, Kingston, ON, Canada

    Juergen Dingel

  2. Microsoft Research, Redmond, WA, USA

    Wolfram Schulte

  3. Universitat Politècnica de València, Spain

    Isidro Ramos , Silvia Abrahão  & Emilio Insfran ,  & 

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© 2014 Springer International Publishing Switzerland

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Sun, Y., White, J., Eade, S. (2014). A Model-Based System to Automate Cloud Resource Allocation and Optimization. In: Dingel, J., Schulte, W., Ramos, I., Abrahão, S., Insfran, E. (eds) Model-Driven Engineering Languages and Systems. MODELS 2014. Lecture Notes in Computer Science, vol 8767. Springer, Cham. https://doi.org/10.1007/978-3-319-11653-2_2

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  • DOI: https://doi.org/10.1007/978-3-319-11653-2_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11652-5

  • Online ISBN: 978-3-319-11653-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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