.png){kind=icon}
返回
Reliable Computation Offloading for Edge-Computing-Enabled Software-Defined IoV
.png){kind=icon}
PRE
AI
DOI：10.1109/JIOT.2020.2982292.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Internet of Vehicles (IoV) has drawn great interest recent years. Various IoV applications have emerged for improving the safety, efficiency, and comfort on the road. Cloud computing constitutes a popular technique for supporting delay-tolerant entertainment applications. However, for advanced latency-sensitive applications (e.g., auto/assisted driving and emergency failure management), cloud computing may result in excessive delay. Edge computing, which extends computing and storage capabilities to the edge of the network, emerges as an attractive technology. Therefore, to support these computationally intensive and latency-sensitive applications in IoVs, in this article, we integrate mobile-edge computing nodes (i.e., mobile vehicles) and fixed edge computing nodes (i.e., fixed road infrastructures) to provide low-latency computing services cooperatively. For better exploiting these heterogeneous edge computing resources, the concept of software-defined networking (SDN) and edge-computing-aided IoV (EC-SDIoV) is conceived. Moreover, in a complex and dynamic IoV environment, the outage of both processing nodes and communication links becomes inevitable, which may have life-threatening consequences. In order to ensure the completion with high reliability of latency-sensitive IoV services, we introduce both partial computation offloading and reliable task allocation with the reprocessing mechanism to EC-SDIoV. Since the optimization problem is nonconvex and NP-hard, a heuristic algorithm, fault-tolerant particle swarm optimization algorithm is designed for maximizing the reliability (FPSO-MR) with latency constraints. Performance evaluation results validate that the proposed scheme is indeed capable of reducing the latency as well as improving the reliability of the EC-SDIoV.
Keyword:
Reliability
Edge computing
Task analysis
Cloud computing
Internet of Things
Resource management
Computer architecture
Computation offloading
edge computing
Internet of Vehicles (IoV)
reliability
software-defined network (SDN)
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:
8.9
论文数:
1.4W
被引数:
7.8W
机构
引用论文
An autonomous 16 mm/sup 3/ solar-powered node for distributed wireless sensor networks用于分布式无线传感器网络的自治16毫米/sup3/太阳能节点
PREAI
分享收藏Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks车载边缘计算和网络中的联合负载均衡和卸载
PREAI
分享收藏SDVN: Enabling Rapid Network Innovation for Heterogeneous Vehicular Communication.png)
IEEE NETWORK
OAAI
IEEE NETWORKIF6.3
OAAI分享收藏
Clinical research and the physician–patient relationship: the dual roles of physician and researcher
PREAI
分享收藏
查看更多内容