Exploration of Multi-Task Scheduling in Multi-Access Edge Computing

The emergence of multi-access edge computing (MEC) has brought about significant advancements in application design and deployment by providing computing resources at the network’s edge. MEC provides computing resources on the fringes of the network, allowing for near-real-time data processing and f...

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Bibliographic Details
Published in:Engineering proceedings 2024-02, Vol.62 (1), p.4
Main Authors: J. Anand, B. Karthikeyan
Format: Article
Language:English
Subjects:
cloud computing
multi-access edge computing
quality of service
resource allocation
task offloading
task scheduling techniques
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Summary:The emergence of multi-access edge computing (MEC) has brought about significant advancements in application design and deployment by providing computing resources at the network’s edge. MEC provides computing resources on the fringes of the network, allowing for near-real-time data processing and fast responses to user requests. In this context, scheduling plays a crucial role in offloading decisions in multi-access edge computing. The motivations for scheduling are to improve the quality of the experience, reduce latency, and increase performance. In this paper, we explore the various scheduling techniques available for MEC systems, including static scheduling, dynamic scheduling, heuristics, meta-heuristics and hybrid scheduling. We analyze the advantages and disadvantages of each technique and discuss how they can be used to optimize the performance of MEC applications. We also present a case study of an MEC system and demonstrate how the various scheduling techniques can be used to maximize its performance. Finally, we address both the challenges and prospects of MEC scheduling and suggest directions for future research.
ISSN:2673-4591
DOI:10.3390/engproc2024062004