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.
TD-Orch: Efficient Task-Data Orchestration for Distributed Systems with Application to Graph Processing
Carnegie Mellon University（卡内基梅隆大学）；University of Texas at Austin（德克萨斯大学奥斯汀分校）；Tsinghua University（清华大学）；University of Maryland（马里兰大学）；University of California, Riverside（加州大学河滨分校）；Reed College（里德学院）
HiRL: Hierarchical Reinforcement Learning for Coordinated Resource Management in Heterogeneous Edge Computing
North China Electric Power University（华北电力大学）；University of Glasgow（格拉斯哥大学）；Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所）；University of Sydney（悉尼大学）；Beihang University（北京航空航天大学）
Load-balanced Service Function Chaining in Edge Computing over FiWi Access Networks for Internet of Things
服务功能链（SFC）有望为物联网（IoT）实现灵活且可扩展的虚拟网络基础设施。边缘计算被认为是处理大量物联网应用数据的有效解决方案。为了在分布式边缘计算节点（ECN）之间统一为物联网应用提供服务，提出了一种基于SDN和NFV协调的统一SFC编排框架，该框架通过利用FiWi接入网络的连接性提供协同边缘云平台。此外，我们研究的VNF部署问题在我们的协同框架下，我们制定了一个混合整数非线性规划（MINLP）问题，共同考虑负载均衡的网络和计算链VNF。我们还提出了两个近似的最优部署算法贪婪二分多路径（GBMP）和KSP多路径（KSMP）利用部署在ECN的多实例虚拟网络功能（VNF）和FiWi接入网络的多路径能力。在两种类型的物联网应用场景中进行了广泛的仿真，在EC over FiWi接入网络。数值结果表明，在两种典型场景下，我们提出的算法在负载均衡、业务接受率和网络利用率方面均优于单路径和基于ECMP的部署算法.
Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications
VTT Technical Research Centre of Finland（芬兰VTT技术研究中心）；University of Electro-Communications（电气通信大学）；Shizuoka University（静冈大学）；University of Windsor（温莎大学）；National Institute of Informatics（国立信息学研究所）
