论文标题
多访问边缘计算中视觉计算的分布式负载编排
Distributed Load Orchestration for Vision Computing in Multi-Access Edge Computing
论文作者
论文摘要
多访问边缘计算（MEC）是一种网络体系结构，可在网络边缘提供云计算功能。我们考虑在5G-MEC环境下运行的大学校园的视频监视用例。一个关键问题是在高峰需求期间，MEC节点上的计算资源最终过载。我们根据负载平衡策略如何组织处理队列提出了一种在MEC环境中分布式编排的新策略。然后，我们详细阐述了一种截止日期意识排队优先级的策略，该策略基于预先建立的阈值来组织请求。我们介绍了基于模拟的实验环境，并通过减少推荐数量并提高按时截止日期的有效性来证明我们方法的好处。
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.
