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; Noor ul Ain

doi:10.3390/FI11070141

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, Noor ul Ain

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

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.

Original language	English
Article number	141
Journal	Future Internet
Volume	11
Issue number	7
DOIs	https://doi.org/10.3390/FI11070141
State	Published - 2019
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2019 by the authors.

Keywords

Application partitioning
Augmented reality
Dynamic applications
MECA
Offloading system

ASJC Scopus subject areas

Computer Networks and Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/FI11070141

Cite this

@article{da4343a0a16d4f099434bbd55c331cdc,

title = "A dynamic application-partitioning algorithm with improved offloading mechanism for fog cloud networks",

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 = "Application partitioning, Augmented reality, Dynamic applications, MECA, Offloading system",

author = "Adeel Abro and Zhongliang Deng and Memon, \{Kamran Ali\} and Laghari, \{Asif Ali\} and Mohammadani, \{Khalid Hussain\} and \{ul Ain\}, Noor",

note = "Publisher Copyright: {\textcopyright} 2019 by the authors.",

year = "2019",

doi = "10.3390/FI11070141",

language = "English",

volume = "11",

journal = "Future Internet",

issn = "1999-5903",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "7",

}

TY - JOUR

T1 - A dynamic application-partitioning algorithm with improved offloading mechanism for fog cloud networks

AU - Abro, Adeel

AU - Deng, Zhongliang

AU - Memon, Kamran Ali

AU - Laghari, Asif Ali

AU - Mohammadani, Khalid Hussain

AU - ul Ain, Noor

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Application partitioning

KW - Augmented reality

KW - Dynamic applications

KW - MECA

KW - Offloading system

UR - https://www.scopus.com/pages/publications/85069891324

U2 - 10.3390/FI11070141

DO - 10.3390/FI11070141

M3 - Article

AN - SCOPUS:85069891324

SN - 1999-5903

VL - 11

JO - Future Internet

JF - Future Internet

IS - 7

M1 - 141

ER -

A dynamic application-partitioning algorithm with improved offloading mechanism for fog cloud networks

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Cite this