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A Methodology for Identifying the Relationships Between Performance Factors for Cloud Computing Applications

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Software Engineering Frameworks for the Cloud Computing Paradigm

Part of the book series: Computer Communications and Networks ((CCN))

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Abstract

Cloud Computing is an emerging technology for processing and storing large amounts of data. One of its most important challenges is to deliver good performance to its end users. Sometimes, anomalies affect a part of the Cloud infrastructure, resulting in degradation in Cloud performance. These anomalies can be identified by performance concepts of Cloud Computing based on software engineering quality models. This work presents these Cloud Computing concepts that are directly related to the measurement of performance from a quantitative viewpoint. One of the challenges in defining such concepts has been to determine what type of relationship exists between the various base measurements that define the performance concepts in a Cloud environment. For example, what is the extent of the relationship between CPU processing time and amount of information to process by a Cloud Computing application? This work uses the Taguchi method for the design of experiments to present a methodology for identifying the relationships between the various configuration parameters (base measures) that affect the quality of Cloud Computing applications’ performance. This chapter is based on a proposed performance measurement framework for Cloud Computing systems, which integrates software quality concepts from ISO 25010 and other international standards.

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Authors and Affiliations

  1. Department of Electronic Systems, Autonomous University of Aguascalientes, Av. Universidad 940, Ciudad Universitaria, Aguascalientes, Mexico

    Luis Eduardo Bautista Villalpando

  2. Department of Software Engineering and Information Technology, ETS – University of Quebec, 1100 Notre-Dame St, Montreal, Canada

    Luis Eduardo Bautista Villalpando, Alain April & Alain Abran

Authors
  1. Luis Eduardo Bautista Villalpando
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  2. Alain April
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  3. Alain Abran
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Corresponding author

Correspondence to Luis Eduardo Bautista Villalpando .

Editor information

Editors and Affiliations

  1. School of Computing, University of Derby, Kedleston Road, Derby, DE22 1GB, United Kingdom

    Zaigham Mahmood

  2. Dept. of Computer Sciences, Bahria University, Shangrilla Road, Sector E-8, Islamabad, 44000, Pakistan

    Saqib Saeed

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Villalpando, L.E.B., April, A., Abran, A. (2013). A Methodology for Identifying the Relationships Between Performance Factors for Cloud Computing Applications. In: Mahmood, Z., Saeed, S. (eds) Software Engineering Frameworks for the Cloud Computing Paradigm. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-1-4471-5031-2_15

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  • DOI: https://doi.org/10.1007/978-1-4471-5031-2_15

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5030-5

  • Online ISBN: 978-1-4471-5031-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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