Elevating Survivability in Next-Gen IoT-Fog-Cloud Networks: Scheduling Optimization With the Metaheuristic Mountain Gazelle Algorithm-Reference-Cited by-同舟云学术

Elevating Survivability in Next-Gen IoT-Fog-Cloud Networks: Scheduling Optimization With the Metaheuristic Mountain Gazelle Algorithm

Published:2024-02 Issue:1 Volume:70 Page:3802-3809
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Maashi Mashael¹^ORCID,Alabdulkreem Eatedal²^ORCID,Maray Mohammed³^ORCID,Shankar K.⁴^ORCID,Darem Abdulbasit A.⁵^ORCID,Alzahrani Abdulrahman⁶^ORCID,Yaseen Ishfaq⁷^ORCID

Affiliation:

1. Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

2. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh, Saudi Arabia

3. Department of Information Systems, College of Computer Science, King Khalid University, Abha, Saudi Arabia

4. Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India

5. Department of Computer Science, College of Science, Northern Border University, Arar, Saudi Arabia

6. Department of Computer Science and Engineering, College of Computer Science and Engineering, University of Hafr Al Batin, Hafr Al Batin, Saudi Arabia

7. Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

Funder

Deanship of Scientific Research at King Khalid University through the Large Group Research Project

Princess Nourah bint Abdulrahman University Researchers Supporting Project, Riyadh, Saudi Arabia

Research Supporting Project, King Saud University, Riyadh, Saudi Arabia

Deanship of Scientific Research at Northern Border University, Arar, Saudi Arabia

Prince Sattam bin Abdulaziz University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/30/10510045/10463533.pdf?arnumber=10463533

Reference21 articles.

1. An efficient meta-heuristic resource allocation with load balancing in IoT-Fog-cloud computing environment

2. Energy-aware and reliable service placement of IoT applications on fog computing platforms by utilizing whale optimization algorithm;Ramzanpoor;J. Adv. Comput. Eng. Technol.,2021

3. Task management in IoT-Fog-Cloud environment employing static scheduling Techniques

4. Mobility Aware-Task Scheduling and Virtual Fog for Offloading in IoT-Fog-Cloud Environment

5. An effective multi-objective task scheduling and resource optimization in cloud environment using hybridized metaheuristic algorithm

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