J6 · Journal Article Published Impact Factor 5.8Q1

OptiFog: A Framework for Acquiring State Information and Predicting Resource Availability for Task Offloading in Cooperative Fog-Networks

Mehbub Alam, Nurzaman Ahmed, Shyamal Ghosh, Rakesh Matam and Ferdous Ahmed Barbhuiya

IEEE Transactions on Services Computing, pp. 1-13, 2024

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Abstract

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Research Highlights

  1. An optimized task offloading framework for time-sensitive computations.
  2. Proposed a framework to determine the resource availability state of the fog network (global state of the system).
  3. A fog node selection scheme to meet specific latency requirements of a task.
  4. A continuous time Markov chain (CTMC)-based stochastic model to predict the resource availability status of a fog node.
  5. A comparative analysis of the proposed OptiFog scheme with similar existing schemes in terms of latency, network cost, and percentage of tasks executed at the cloud.
  6. This framework is for suitable fog node selection and to balance the load of the network.

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