Work

Analysis of Efficient Task Scheduling Algorithms in Fog Computing Environment

Year: 2025

Type: conference-paper

Abstract: The evolution of computing paradigms, including parallel, distributed, grid, and cloud computing (CC), has led to the widespread adoption of CC due to its features like on-demand resource allocation, flexible pricing, and service provisioning through models such as IaaS, PaaS, and SaaS. However, the centralized nature of most cloud data centers introduces challenges like latency and inefficiencies due to the distance between devices and the cloud. This study shows that Edge computing has emerged as a solution by enabling localized data processing at the network's edge, reducing latency and reliance on centralized systems. Unlike CC, edge computing focuses on end devices. In this paper, Fog computing as an upcoming technology further extends the capabilities of CC by integrating edge and core network functionalities, providing a seamless bridge between edge and cloud paradigms to enhance computational performance and efficiency.

Source: International Conference on Communication, Security and Artificial Intelligence (ICCSAI)

DOI: 10.1109/iccsai64074.2025.11064137

Authors: Prince Gupta, Rajeev Kumar Sharma, Sachi Gupta

Institutions: SRM Institute of Science and Technology, Galgotias College of Engineering & Technology

Language: English

Topic: IoT and Edge/Fog Computing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4412404629

FWCI:

Cites: 20

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Related to: 10