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KNN-fuzzy classification for cloud service selection

Published: 26 June 2018 Publication History

Abstract

Cloud computing is an emerging technology that provides services to its users via Internet. It also allows sharing of resources there by reducing cost, money and space. With the popularity of cloud and its advantages, the trend of information industry shifting towards cloud services is increasing tremendously. Different cloud service providers are there on internet to provide services to the users. These services provided have certain parameters to provide better usage. It is difficult for the users to select a cloud service that is best suited to their requirements. Our proposed approach is based on data mining classification technique with fuzzy logic. Proposed algorithm uses cloud service design factors (security, agility and assurance etc.) and international standards to suggest the cloud service. The main objective of this research is to enable the end cloud users to choose best service as per their requirements and meeting international standards. We test our system with major cloud provider Google, Microsoft and Amazon.

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Cited By

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  • (2020)Enhancement of the Dynamic Computation-Offloading Service Selection Framework in Mobile Cloud EnvironmentWireless Personal Communications10.1007/s11277-019-07023-4Online publication date: 3-Jan-2020

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ICFNDS '18: Proceedings of the 2nd International Conference on Future Networks and Distributed Systems
June 2018
469 pages
ISBN:9781450364287
DOI:10.1145/3231053
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2018

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Author Tags

  1. classification
  2. cloud service
  3. data mining
  4. fuzzy membership
  5. k-nearest neighbor

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  • (2020)Enhancement of the Dynamic Computation-Offloading Service Selection Framework in Mobile Cloud EnvironmentWireless Personal Communications10.1007/s11277-019-07023-4Online publication date: 3-Jan-2020

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