.png){kind=icon}
返回
Incentive-Aware Micro Computing Cluster Formation for Cooperative Fog Computing
.png){kind=icon}
PRE
AI
DOI：10.1109/TWC.2020.2967371.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Fog computing is envisioned as a promising approach for supporting emerging computation-intensive applications on capacity and battery constrained mobile Internet of Things (IoT) devices. Technically speaking, a massive crowd of devices in close proximity can be harvested and collaborate for computation and communication resource sharing. Hence fog computing enables significant potentials in low-latency and energy-efficient mobile task execution. However, without an efficient incentive mechanism to stimulate resource sharing among devices, the benefits of fog computing cannot be fully realized. Leveraging coalitional game theory, this work presents an efficient incentive mechanism to incentivize mutually-beneficial resource cooperation among the devices for collaborative task execution. In particular, to efficiently achieve mutually beneficial task execution, the proposed mechanism groups the devices into multiple micro computing clusters (MCCs). Within each MCC, devices can exchange mutually beneficial actions by helping to compute or transmit tasks, making all of their performances no worse than local execution or execution in the fog server. The solution to the MCC formation is devised by both centralized and decentralized schemes and further proven to admit nice properties such as top coalition, core solution, individual rationality and computational efficiency. Extensive numerical studies demonstrate the superior performance of our MCC formation mechanisms.
Keyword:
Task analysis
Games
Resource management
Edge computing
Game theory
Mobile handsets
Cloud computing
Fog computing
micro computing cluster
coalitional game
collaborative 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:
10.7
论文数:
1.3W
被引数:
5.3W
机构
引用论文
Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing边缘智能: 用边缘计算铺平人工智能的最后一英里.png)
PROCEEDINGS OF THE IEEE
OAAI
PROCEEDINGS OF THE IEEEIF25.9
OAAI分享收藏分享收藏Hierarchical Fog-Cloud Computing for IoT Systems: A Computation Offloading Game物联网系统的分层雾云计算: 计算卸载游戏OAAI
OAAI分享收藏D2D Fogging: An Energy-Efficient and Incentive-Aware Task Offloading Framework via Network-assisted D2D CollaborationD2D雾化: 通过网络辅助D2D协作实现节能和激励感知的任务卸载框架
PREAI
分享收藏OBSERVATIONS ON THE NATURAL HISTORY OF THE OLIVE COLOBUS MONKEY, PROCOLOBUS VERUS (van BENEDEN)
PREAI
分享收藏分享收藏Isolated DC-DC Converter for Thermoelectric Energy Harvesting Based on a Piezoelectric Transformer
PREAI
分享收藏
查看更多内容