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Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:2212.03802 (cs)
[Submitted on 7 Dec 2022]

Title:Distributed Load Orchestration for Vision Computing in Multi-Access Edge Computing

Authors:Ricardo N. Boing, Hugo Vaz Sampaio, Fernando Koch, Rene N. S. Cruz, Carlos B. Westphall
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Abstract:Multi-access Edge Computing (MEC) is a type of network architecture that provides cloud computing capabilities at the edge of the network. We consider the use case of video surveillance for an university campus running on a 5G-MEC environment. A key issue is the eventual overloading of computing resources on the MEC nodes during peak demand. We propose a new strategy for distributed orchestration in MEC environments based on how load balancing strategies organize processing queue. Then, we elaborated a strategy for deadline-aware queueing prioritization that organizes requests based on pre-established thresholds. We introduce a simulation-based experimentation environment and conduct a number of tests demonstrating the benefit of our approach by reducing the number of referrals and improving the effectiveness in meeting deadlines.
Comments: This work has been submitted to the IEEE for possible publication
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC)
Cite as: arXiv:2212.03802 [cs.DC]
  (or arXiv:2212.03802v1 [cs.DC] for this version)
  https://doi.org/10.48550/arXiv.2212.03802

Submission history

From: Fernando Koch [view email]
[v1] Wed, 7 Dec 2022 17:36:23 UTC (4,628 KB)
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