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A Survey and Taxonomy on Task Offloading for Edge-Cloud Computing
DOI:10.1109/ACCESS.2020.3029649.png)
摘要
En 中文
Edge-cloud computing, combining the benefits of both edge computing and cloud computing, is one of the most promising ways to address the resource insufficiency of smart devices. Task offloading is an important challenge must be addressed for edge-cloud computing in practice, which decides the place and the time for performing each task. Even though there is existing research focusing on the task offloading in edge-cloud computing, a lot of problems should be solved before the application of these offloading technologies. Thus, in this article, we first propose a taxonomy of task offloading in edge-cloud environments to investigate and classify related research articles, and then summarize several challenges which have not been addressed for future research directions on this area to promote the development of edge-cloud market.
Keyword:
Task analysis
Cloud computing
Servers
Performance evaluation
Edge computing
Taxonomy
Industries
Cloud computing
edge computing
edge-cloud
mobile computing
task offloading
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:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms: Transparent Computing, Mobile Edge Computing, Fog Computing, and Cloudlet端边云编排网络计算范例调查: 透明计算、移动边缘计算、雾计算和Cloudlet
Eco-Friendly Powering and Delay-Aware Task Scheduling in Geo-Distributed Edge-Cloud System: A Two-Timescale Framework
IEEE ACCESS
IF3.6

