C1 · Conference Paper Published

ioFog: Prediction-based Fog Computing Architecture for Offline IoT

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

IEEE International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 1387-1392, 2021

Abstract

The abstract for this paper is available on the publisher's page. Read it on the publisher's site (opens in a new tab).

Research Highlights

  1. An offline fog architecture for achieving reliability and low latency in a large backbone network.
  2. The solution uses a Markov chain-based task prediction model to offer dynamic service requirements with minimal dependency on the Internet.
  3. Considers a central Fog Controller (FC) to (i) provide a global status overview and (ii) predict upcoming tasks of fog nodes for intelligent offloading decisions.

Presentation

A 5-slide visual summary of this paper. Use the arrows, the dots or the left/right arrow keys to move between slides.

Slide 1 of 5 from the visual summary of “ioFog: Prediction-based Fog Computing Architecture for Offline IoT”
Slide 2 of 5 from the visual summary of “ioFog: Prediction-based Fog Computing Architecture for Offline IoT”
Slide 3 of 5 from the visual summary of “ioFog: Prediction-based Fog Computing Architecture for Offline IoT”
Slide 4 of 5 from the visual summary of “ioFog: Prediction-based Fog Computing Architecture for Offline IoT”
Slide 5 of 5 from the visual summary of “ioFog: Prediction-based Fog Computing Architecture for Offline IoT”
5 slides