Year: 2025
Type: article
Abstract: Mobile Edge computing is one of the emerging fields in cloud environments where numerous user applications leverage a wide range of strong and powerful resources. To ensure optimal utilization, cloud computing resources such as storage, applications, and other services require effective management and scheduling. Managing resources is particularly challenging in scientific workflows, which involve extensive computations and interdependent operations. Task scheduling is the crucial challenge in this setup since the edge setup is migrated near to the user’s environment most of the computation is going to be handled by the edge server. Various algorithms and techniques have been proposed to address this issue. This paper explores a novel scheduling method for tasks offloaded by different users in a multi-user access computing paradigm. Also, the priority of the task is being considered while the tasks from mobile users are assigned to the data center. Considering the priority of the task, the tasks are being scheduled parallelly to the data centers. The completion time and the CPU utilization are extremely enhanced by using the proposed PBPPMUMTSA- Priority Based Parallel Processing Multi User Multi Task Scheduling Algorithm.
Source: THE SCIENTIFIC TEMPER
Institutions: Madras Christian College, Bharathidasan University
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409600082