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

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 res...

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Bibliographic Details
Main Authors Boing, Ricardo N, Sampaio, Hugo Vaz, Koch, Fernando, Cruz, Rene N. S, Westphall, Carlos B
Format Journal Article
LanguageEnglish
Published 07.12.2022
Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
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Summary: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.
DOI:10.48550/arxiv.2212.03802