Resource Allocation Strategy in Fog Computing: Task Scheduling in Fog Computing Systems
shoker, A., Amoon, M., Bahaa-Eldin, ,., El-Bahnasawy, N. (2023). Resource Allocation Strategy in Fog Computing: Task Scheduling in Fog Computing Systems. EKB Journal Management System, 1(1), 1-11. doi: 10.21608/jcsit.2023.306757
Asmaa shoker; Mohammed Amoon; , Ayman M. Bahaa-Eldin; Nirmeen A. El-Bahnasawy. "Resource Allocation Strategy in Fog Computing: Task Scheduling in Fog Computing Systems". EKB Journal Management System, 1, 1, 2023, 1-11. doi: 10.21608/jcsit.2023.306757
shoker, A., Amoon, M., Bahaa-Eldin, ,., El-Bahnasawy, N. (2023). 'Resource Allocation Strategy in Fog Computing: Task Scheduling in Fog Computing Systems', EKB Journal Management System, 1(1), pp. 1-11. doi: 10.21608/jcsit.2023.306757
shoker, A., Amoon, M., Bahaa-Eldin, ,., El-Bahnasawy, N. Resource Allocation Strategy in Fog Computing: Task Scheduling in Fog Computing Systems. EKB Journal Management System, 2023; 1(1): 1-11. doi: 10.21608/jcsit.2023.306757

Resource Allocation Strategy in Fog Computing: Task Scheduling in Fog Computing Systems

Journal of Communication Sciences and Information Technology
Volume 1, Issue 1, July 2023, Page 1-11  XML PDF (422.49 K)
Document Type: Original Article
DOI: 10.21608/jcsit.2023.306757
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Authors
Asmaa shoker email 1; Mohammed Amoon2; , Ayman M. Bahaa-Eldin3; Nirmeen A. El-Bahnasawy4
1Computer Science & Eng. Dept., Faculty of Electronic Eng., Menouf, Egypt
2Computer Science & Eng. Dept., Faculty of Electronic Eng., Menouf, Egypt. 2 Dept. of Computer Science, CC, King Saud University, Riyadh 11437, Saudi Arabia
33Misr International University, on leave from Ain Shams University, Cairo, Egypt
4Computer Science & Eng. Dept., Faculty of Electronic Eng., Menouf, Egypt
Abstract
The fog computing model has attracted considerable research attention, as it concentrates on making cloud-based services more effective and timely for the Internet of Things (IoT) users. The fog layer between the user and the cloud layers is aimed at minimizing transmission, processing time, and total costs. Nevertheless, the use of emerging virtualization technologies in fog planning and resource management was hampered by restricted resources and low-delayed services. This paper offers a new task scheduling algorithm called task priority dynamic implementation (TPDI) based on the priority level in the fog layer to help the rising number of IoT, intelligent devices and to optimize the performance of timely execution and minimize costs. Performance assessment indicates that the proposed algorithm decreases overall response time relative to current task scheduling algorithms. It is critical for emerging brownfield computing technology, which we feel is useful for the priority algorithm for a variety of applications.
 
 
Keywords
Fog Computing. Execution Time. Priority Levels. Task Scheduling. Resource Allocation
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