Edge computing promises to reshape the centralized nature of today's cloud-based applications by bringing computing resources, at least in part, closer to the user. Reasons include the increasing need for real-time (short-delay, reliably-connected) computing and resource-demanding artificial intelligence (AI) algorithms that overstrain mobile devices' batteries or compute power but are too bandwidth-demanding to be offloaded to a distant cloud. However, companies may need to run their protected business logic on (untrusted) third-party edge devices, which can lead to serious issues due to weaker security measures than in cloud environments. This article makes the case for trusted edge computing (TEC), which focuses on developing concepts and methods for protecting application providers' business logic (and thus their intellectual property) specifically tailored to open edge infrastructures. This article further discusses open challenges in TEC to be addressed in the future. Otherwise, edge computing risks being a non-starter for most businesses due to the inadequate and neglected protection of intellectual property.
A Qualitative Evaluation of Service Mesh-based Traffic Management for Mobile Edge Cloud
Service mesh正被广泛采用为基于微服务的应用程序中的流量管理的云原生机制，特别是对于托管在更集中的云环境中的通用IT工作负载。性能要求高的应用程序继续推动现代应用程序执行环境的去中心化，例如移动边缘云。本文对最先进的服务网格进行了系统的定性分析，以评估其设计是否适合解决移动边缘云环境中托管的性能要求苛刻的应用程序工作负载的流量管理需求。通过这种分析，我们认为，当今以可靠性为中心的服务网格设计无法满足不同类型的新兴移动边缘云工作负载的需求，并激励进一步研究高效的架构，更强的QoS保证和更高复杂性的云原生流量管理框架的抽象。
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference
School of Computer Science and Engineering, Sun Yat-sen University（中山大学计算机科学与工程学院）；IoT Thrust and Research Center for Digital World with Intelligent Things, HKUST (Guangzhou)（香港科技大学（广州）智能物联数字世界研究中心及物联网学科）；Data Science and Analytics Thrust, HKUST (Guangzhou)（香港科技大学（广州）数据科学与分析学科）；Department of Computer Science and Engineering, HKUST（香港科技大学计算机科学与工程系）
Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices
School of Computer Science and Engineering, Sun Yat-sen University（中山大学计算机科学与工程学院）；Data Science and Analytics Thrust, HKUST (GZ)（香港科技大学（广州）数据科学与分析学域）；The Chinese University of Hong Kong（香港中文大学）
