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Pricing of Cloud IaaS Based on Feature Prioritization - A Value Based Approach

  • Conference paper
Book cover Recent Advances in Intelligent Informatics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 235))

Abstract

Today, cloud computing is transforming the IT industry. An increasing number of providers are offering various services where computing, storage and application resources, can be dynamically provisioned on a pay per use basis. However the demands and requirements of different users are diversifying and growing sharply. In order to maximize the revenue, a proper pricing model is required. Thus systemic approaches need to be explored to estimate the potential value of such services to specific users for a specific context. The current study proposes a value based pricing approach for Infrastructure as a Service (IaaS), one of the important delivery models. The decision support approach prioritizes and aggregates the dimensions of IaaS for the migration to cloud, from the users’ perspective by integrating Fuzzy Set Theory and Analytic Hierarchy Process for group decision making.

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Author information

Authors and Affiliations

  1. Indian Institute of Management - Rohtak, MDU Campus, Rohtak, 124001, India

    Arpan Kumar Kar & Atanu Rakshit

Authors
  1. Arpan Kumar Kar
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  2. Atanu Rakshit
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Editor information

Editors and Affiliations

  1. Technopark Campus Trivandrum, Indian Inst. of Information Technology and Management – Kerala (IIITM-K), Kerala, India

    Sabu M. Thampi

  2. Machine Intelligence Research Labs (MIR Labs), Auburn, USA

    Ajith Abraham

  3. Indian Statistical Institute, Kolkata, India

    Sankar Kumar Pal

  4. Department of Computer Science School of Science, University of Salamanca, Salamanca, Spain

    Juan Manuel Corchado Rodriguez

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© 2014 Springer International Publishing Switzerland

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Kar, A.K., Rakshit, A. (2014). Pricing of Cloud IaaS Based on Feature Prioritization - A Value Based Approach. In: Thampi, S., Abraham, A., Pal, S., Rodriguez, J. (eds) Recent Advances in Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 235. Springer, Cham. https://doi.org/10.1007/978-3-319-01778-5_33

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  • DOI: https://doi.org/10.1007/978-3-319-01778-5_33

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01777-8

  • Online ISBN: 978-3-319-01778-5

  • eBook Packages: EngineeringEngineering (R0)

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