A Dynamic Application-Partitioning Algorithm with Improved Offloading Mechanism for Fog Cloud Networks

Adeel Abro, Zhongliang Deng, Kamran Ali Memon, Asif Ali Laghari, Khalid Hussain Mohammadani and Noor ul Ain
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Adeel Abro: School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Zhongliang Deng: School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Kamran Ali Memon: School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Asif Ali Laghari: Department of Computer Science, Sindh Madressatul Islam University, Karachi 74700, Pakistan
Khalid Hussain Mohammadani: School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Noor ul Ain: School of Information & Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Future Internet, 2019, vol. 11, issue 7, 1-16

Abstract: This paper aims to propose a new fog cloud architecture that performs a joint energy-efficient task assignment (JEETA). The proposed JEETA architecture utilizes the dynamic application-partitioning algorithm (DAPTS), a novel algorithm that efficiently decides and switches the task to be offloaded or not in heterogeneous environments with minimal energy consumption. The proposed scheme outperforms baseline approaches such as MAUI, Think Air and Clone Cloud in many performance aspects. Results show that for the execution of 1000 Tasks on fog, mobile offloaded nodes, JEETA consumes the leas, i.e., 23% of the total energy whereas other baseline approaches consume in between 50–100% of the total energy. Results are validated via real test-bed experiments and trice are driven efficient simulations.

Keywords: MECA; offloading system; augmented reality; application partitioning; dynamic applications (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2019
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