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

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Part of the Communications in Computer and Information Science book series (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.

Keywords

  • Fuzzy cloud
  • QoS
  • Ranking
  • Multi-criteria

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  • DOI: 10.1007/978-3-030-96040-7_12
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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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  • Online ISBN: 978-3-030-96040-7

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