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An adaptive model for resource selection and allocation in fog computing environment - 2019

An adaptive model for resource selection and allocation in fog computing environment

Research Paper on An adaptive model for resource selection and allocation in fog computing environment

Research Area:  Fog Computing

Abstract:

Fog computing is a computing infrastructure that supports data distribution between cloud and source in an efficient manner. Building an effective and generalized model for efficient resource selection and allocation mechanism seems to be complex in fog computing. Allocation and selection mechanisms in such environment fall into a class of multi-criteria decision-making (MCDM) problems. The existing MCDM methods may not be suitable for fog computing environment as these problems are distributed, scalable and dynamic. We propose an adaptive multi-criteria decision-making (A-MCDM) model to obtain an optimal ranking of alternatives in dynamic and scalable environments. The time complexity of the proposed A-MCDM is O(nm) in general, and it takes only O(m) time to assign a rank to an alternative where n is the number of criteria and m is the number of alternatives. The performance of the proposed model has been analyzed and found to be better than other MCDM methods.

Keywords:  
Resource selection
allocation
fog computing

Author(s) Name:  Manoj Kumar Mishra, Niranjan Kumar Ray, Amulya Ratna Swain, Ganga Bishnu Mund, Bhabani Sankar Prasad Mishra

Journal name:  Computers & Electrical Engineering

Conferrence name:  

Publisher name:  Elsevier

DOI:  10.1016/j.compeleceng.2019.05.010

Volume Information:  Volume 77, July 2019, Pages 217-229