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Latency-Aware Task Offloading Mechanism for Mobile Edge Computing

Authors:
Abdulelah Alwabel

Keywords: task offloading; dynamic mechanism; latency-aware; MEC.

Abstract:
Task offloading in Mobile Edge Computing (MEC) is a critical mechanism that enables resource-constrained mobile devices to delegate computational tasks to proximate edge servers for processing. One of the core benefits of task offloading in MEC is the significant reduction in latency. Unlike traditional cloud computing, where data must travel to remote data centers for processing, MEC leverages edge servers positioned at the periphery of the network, close to end users. However, task offloading is not without its challenges. Critical issues, including network reliability, security, data privacy, and effective task scheduling, must be addressed to provide efficient offloading processes. This paper presents a novel latency-aware task offloading mechanism for MEC environments. The proposed mechanism dynamically adapts to latency variations to optimize task placement and migration across edge servers. Unlike traditional approaches, the mechanism operates without prior knowledge of task characteristics, enabling real-time task submission and execution. The mechanism employs a migration policy that minimizes latency by reassigning tasks in the waiting queue based on latency changes caused by mobile device movement, reducing the negative impact of such variations on system performance. To evaluate the effectiveness of the mechanism, a simulation environment was developed to model MEC scenarios. The simulation considered varying task loads and dynamic latency conditions to emulate real-world operations. Results demonstrate that the proposed mechanism achieved an improvement in key performance metrics, including latency, waiting time, and makespan time.

Pages: 94 to 99

Copyright: Copyright (c) IARIA, 2025

Publication date: April 6, 2025

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-68558-258-6

Location: Valencia, Spain

Dates: from April 6, 2025 to April 10, 2025