research-article

Fuzzy clustering-based task allocation approach using bipartite graph in cloud-fog environment

Authors:

Ahmed. A. A. Gad-Elrab,

Amin. Y. NoamanAuthors Info & Claims

MobiQuitous '19: Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

Pages 454 - 463

https://doi.org/10.1145/3360774.3360833

Published: 03 February 2020 Publication History

Abstract

Recently, due to the limitations in using cloud computing services for the recent advances IoTs applications, a newly distributed computing architecture is established called cloud-fog paradigm by exploiting the cooperation between fog and cloud entities. Fog nodes are used to reduce monetary cost and transferring latency for cloud resources, while for offloading of large-scale applications cloud servers are used. In this paradigm, The main problem is task allocation which aims to select the optimal nodes among cloud and fog nodes for each task to minimize makespan, monetary and energy costs. In this paper, to solve this problem a new task allocation approach called bipartite graph with fuzzy clustering task allocation approach is proposed and it uses a hybrid DAG for representing independent and dependent tasks. Also, it uses fuzzy clustering and bipartite graph to solve the uncertainty executing problem and find the maximum bipartite matching, respectively. The conducted simulation results show that the proposed approach can achieve a higher performance int terms of makespan, total cost, and cost-makespan tradeoff than existing approaches.

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Cited By

Jagadish TApte OPradeep K(2022)Task Scheduling Algorithms in Fog Computing: A Comparison and Analysis2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)10.1109/ICACRS55517.2022.10029029(483-488)Online publication date: 13-Dec-2022
https://doi.org/10.1109/ICACRS55517.2022.10029029
Al-Araji ZAhmad SKausar NFarhani AOzbilge ECagin T(2022)Fuzzy Theory in Fog Computing: Review, Taxonomy, and Open IssuesIEEE Access10.1109/ACCESS.2022.322546210(126931-126956)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3225462
Duan JLiu X(2021)Online monitoring of green pellet size distribution in haze-degraded images based on VGG16-LU-net and haze judgementIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2021.3052018(1-1)Online publication date: 2021
https://doi.org/10.1109/TIM.2021.3052018
Show More Cited By

Index Terms

Fuzzy clustering-based task allocation approach using bipartite graph in cloud-fog environment
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
    1. Redundancy
  2. Embedded and cyber-physical systems
    1. Embedded systems
    2. Robotics
2. Networks
  1. Network properties
    1. Network reliability

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cover image ACM Other conferences

MobiQuitous '19: Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

November 2019

545 pages

ISBN:9781450372831

DOI:10.1145/3360774

General Chairs:
Vincent Poor
Princeton University
,
Zhu Han
University of Houston

Copyright © 2019 ACM.

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Publication History

Published: 03 February 2020

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King Abdul-Aziz University, Jeddah, Saudi Arabia

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MobiQuitous

MobiQuitous: Computing, Networking and Services

November 12 - 14, 2019

Texas, Houston, USA

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Overall Acceptance Rate 26 of 87 submissions, 30%

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Cited By

Jagadish TApte OPradeep K(2022)Task Scheduling Algorithms in Fog Computing: A Comparison and Analysis2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)10.1109/ICACRS55517.2022.10029029(483-488)Online publication date: 13-Dec-2022
https://doi.org/10.1109/ICACRS55517.2022.10029029
Al-Araji ZAhmad SKausar NFarhani AOzbilge ECagin T(2022)Fuzzy Theory in Fog Computing: Review, Taxonomy, and Open IssuesIEEE Access10.1109/ACCESS.2022.322546210(126931-126956)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3225462
Duan JLiu X(2021)Online monitoring of green pellet size distribution in haze-degraded images based on VGG16-LU-net and haze judgementIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2021.3052018(1-1)Online publication date: 2021
https://doi.org/10.1109/TIM.2021.3052018
Wang BWang CHuang WSong YQin X(2020)A Survey and Taxonomy on Task Offloading for Edge-Cloud ComputingIEEE Access10.1109/ACCESS.2020.30296498(186080-186101)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3029649

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