Joint Optimization of Computation Offloading and Task Scheduling Using Multi-Objective Arithmetic Optimization Algorithm in Cloud-Fog Computing
Ali A. Azim N. Othman M.T.B. Rehman A.U. Alajmi M. Al-Adhaileh M.H. Khan F.U. Orken M. Hamam H.
2024Institute of Electrical and Electronics Engineers Inc.
IEEE Access
2024#12184158 - 184178 pp.
The exponential increase in the Internet of Things (IoT) has affected the cloud computing with increase transmission latency and network overhead for real-time applications. Cloud-fog computing paradigm tackle these limitations by moving computational services closer to the network edge i.e., fog nodes, enhancing the speed of real-time applications. This architecture, with its dynamic computing environment and diverse IoT devices and tasks, demands a reliable and energy-efficient communication network. Joint optimization of computation offloading and task scheduling is a primary challenge, as it involves offloading tasks to optimal computational resources and scheduling them in an efficient order for operational efficacy. While offloading tasks to fog nodes reduces delay but raises energy utilization, offloading them to cloud servers reduces energy usage but raises computational costs and latency. Additionally, inefficient order of task execution (executing lower priority jobs before higher priority tasks) can disrupt system stability and reliability. Therefore, an effective joint optimal computation offloading and task scheduling strategy is essential. To this end, we propose a Multi-objective Arithmetic Optimization-based joint computation offloading and task scheduling algorithm, aiming to minimize energy consumption and transmission latency. Extensive simulations in MATLAB demonstrate the efficacy of the proposed algorithm in terms of designated optimization objectives.
arithmetic optimization , cloud-fog computing , computation offloading , optimization algorithms , Task offloading
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Mardan Institute of Science and Technology, Department of Computer Science, Mardan, 23200, Pakistan
Abdul Wali Khan University Mardan, Department of Computer Science, Mardan, 23200, Pakistan
Qassim University, College of Computer, Department of Computer Science, Buraydah, 541452, Saudi Arabia
Gachon University, School of Computing, Seongnam-si, 13120, South Korea
Taif University, College of Computers and Information Technology, Department of Computer Engineering, Taif, 21944, Saudi Arabia
King Faisal University, Department of E-Learning and Information Technology, Al-Ahsa, 31982, Saudi Arabia
University of Science and Technology, Department of Software Engineering, Bannu, 28100, Pakistan
Institute of Information and Computational Technologies, Department of Computer Science, Almati, 050000, Kazakhstan
University of Johannesburg, School of Electrical Engineering, Department of Electrical and Electronic Engineering Science, Johannesburg, 2006, South Africa
International Institute of Technology and Management (IITG), Libreville, 1989, Gabon
Bridges for Academic Excellence-Spectrum, Tunis Centre Ville, 1002, Tunisia
Mardan Institute of Science and Technology
Abdul Wali Khan University Mardan
Qassim University
Gachon University
Taif University
King Faisal University
University of Science and Technology
Institute of Information and Computational Technologies
University of Johannesburg
International Institute of Technology and Management (IITG)
Bridges for Academic Excellence-Spectrum
10 лет помогаем публиковать статьи Международный издатель
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