返回
CUE: An Intelligent Edge Computing Framework
DOI:10.1109/MNET.2019.1800316.png)
摘要
En 中文
The worldwide popularity of smart mobile devices is ushering us into the UGC era, and the UGC data explosion posts formidable challenges and insatiable demands for network bandwidth, which can be effectively handled by the emerging EC. However, the heterogeneity of EC devices and resources should be properly addressed to process UGC data in proximity to data sources. By taking UGC features and resource heterogeneity into account, we devise CUE, an intelligent EC framework based on cloud-user-edge cooperation. First, the CUE framework establishes a shared edge structure and virtualizes heterogeneous computation, storage, and communications resources. Second, a virtual resource bank (VRB) is employed to issue virtual resource coins (VRCs) for resource exchange. Finally, the processing (i.e., computation offloading) and caching of UGC data are implemented at the network edge. Remarkably, the proposed CUE framework can fully exploit the heterogeneous EC resources, protect sensitive user data, reduce network traffic load, and accommodate the UGC prosperity in the post-cloud era. To the best of our knowledge, CUE is the very first framework for heterogeneous EC resource sharing, where UGC is innovatively involved to form closed-loop VRC recycling and to support many other promising functions (e.g., trust management and VRC monetization).
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.3
论文数:
2.7K
被引数:
1.1W
机构
引用论文
Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach5g无线通信信道状态信息预测: 一种深度学习方法
Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network软件定义超密集网络中移动边缘计算任务卸载

