This proposed work was designed for future 6G networks systems. On the other hand, Guangshun Li et.al proposed a task allocation load balancing strategy for edge computing [82]. They have used the concept of transfer learning from cloud to intermediate node to edge. In another study [83], ...
Survey on Multi-Access Edge Computing Security and PrivacyIEEE Communications Surveys & Tutorials (IF 34.4)Pasika Ranaweera, Anca Delia Jurcut, Madhusanka Liyanage Pub Date: 2021-02-26 Secure and Optimized Load Balancing for Multitier IoT and Edge-Cloud Computing SystemsIEEE Internet of Things Journ...
另一方面,传输和接收数据都需要一定的能量消耗。下图是根据能量进行卸载的过程:E1,E0分别是本地计算和卸载所需要的能量消耗,下面两个用户设备都能满足D0<Dmax,也就是满足执行时间限制,此时他们选择能量消耗最小的方式决定是否卸载。 ①在每个时隙中周期性地做出关于计算卸载的决定,在此期间,所有UE被分为两组。虽...
边缘计算外文文献 Edge computing_ A survey.pdf,Future Generation Computer Systems 97 (2019) 219–235 Contents lists available at ScienceDirect Future Generation Computer Systems journal homepage: /locate/fgcs Edge computing: A survey Wazir Zada Khan a ,
Fig. 4. Edge AI: Reshaping the future of edge computing. Furthermore, Edge AI could be provided with the computational intelligence to develop intelligent systems that can perform tasks that typically require human-level intelligence, such as decision-making, problem-solving, pattern recognition, and...
[100] Distributed resource allocation in blockchain-based video streaming systems with mobile edge computing [105] Decentralized caching for content delivery based on blockchain: A game theoretic perspective E. Single-Objective/Multi-Objective Optimization F. Optimization Tools 1) Convex Optimization 2)...
PDF:A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges Abstract 5G communication brings substantial improvements in the quality of service provided to various applications by achieving higher throughput and lower latency. However, interactive multimedia applications (e.g., ...
In recent years, many systems are proposed to better serve ubiquitous smart devices closer to the user. This article provides a complete and up-to-date review of edge-oriented computing systems by encapsulating relevant proposals on their architecture features, management approaches, and design ...
In order to deliver these benefits to end-users, engineers have relied on a common set of key operating principles when building edge computing systems [2]: 1.2. Federated learning Federated learning is a method for training neural networks across many devices. In this model of computation, a ...
Adaptive federated learning in resource constrained edge computing systems (2018) Google Scholar [29] Ye D., Yu R., Pan M., Han Z. Federated learning in vehicular edge computing: A selective model aggregation approach IEEE Access, 8 (2020), pp. 23920-23935 Google Scholar [30] Li T., Sa...