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Multi-criteria Based Cloud Service Selection Model Using Fuzzy Logic for QoS

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Advanced Network Technologies and Intelligent Computing (ANTIC 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1534))

Abstract

Due to the expansion of web users and increase demand for Cloud in the public domain, a cloud service provider (CSP) tries to fulfill the exclusive functionalities and specifications required by different users which is a challenging task. There are numerous challenges such as migration of all the applications and data from one Cloud to another can drop-off the computing capabilities offered by the Cloud platform because different Cloud service providers (CSP) provides cloud services at different pricing categories with a different set of choices where one cloud charge low cost for storage but high cost for computation or vice-versa. In this paper, a Fuzzy based Cloud selection model is proposed using cost, capacity, performance, security and maintenance as key parameters to improve QoS experience of the cloud users.

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Author information

Authors and Affiliations

  1. MMM University of Technology, Gorakhpur, U.P., India

    Mohammad Faiz & A. K. Daniel

Authors
  1. Mohammad Faiz
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  2. A. K. Daniel
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Editor information

Editors and Affiliations

  1. Ryerson University, Toronto, ON, Canada

    Isaac Woungang

  2. Netaji Subhas University of Technology, New Delhi, India

    Sanjay Kumar Dhurandher

  3. ABV-Indian Institute of Information Technology and Management, Gwalior, India

    Kiran Kumar Pattanaik

  4. Banaras Hindu University, Varanasi, India

    Anshul Verma

  5. Indian Institute of Technology BHU, Varanasi, India

    Pradeepika Verma

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Faiz, M., Daniel, A.K. (2022). Multi-criteria Based Cloud Service Selection Model Using Fuzzy Logic for QoS. In: Woungang, I., Dhurandher, S.K., Pattanaik, K.K., Verma, A., Verma, P. (eds) Advanced Network Technologies and Intelligent Computing. ANTIC 2021. Communications in Computer and Information Science, vol 1534. Springer, Cham. https://doi.org/10.1007/978-3-030-96040-7_12

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  • DOI: https://doi.org/10.1007/978-3-030-96040-7_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96039-1

  • Online ISBN: 978-3-030-96040-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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