OCVC:一种车辆雾计算中支持重叠的协同计算协议

Zhiwei Wei, Bing Li, Rongqing Zhang, Xiang Cheng, Liuqing Yang
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引用次数: 1

摘要

汽车雾计算(VFC)作为缓解汽车网络过载的一种很有前途的解决方案而出现。由于单个车辆雾节点受限于有限的资源,无法提供超可靠、低延迟的服务,因此车辆间的合作成为提升服务质量(QoS)的一种诱人尝试。为了充分利用车载雾节点的局部潜在资源,本文提出了一种新的基于重叠的协同车载计算(OCVC) VFC架构。与传统的协同计算架构不同,所提出的OCVC架构使车辆能够同时参与不同的雾群。此外,我们提出了一种基于重叠联盟形成(OCF)博弈框架的分布式OCVC方案来解决复杂的计算分组、重叠资源分配和任务分配问题。我们在几个指标上进行了实验,数值结果表明,在不同条件下,所提出的OCVC方案比其他基准测试方案的性能提高至少5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OCVC: An Overlapping-Enabled Cooperative Computing Protocol in Vehicular Fog Computing
Vehicular fog computing (VFC) has emerged as a promising solution to relieve the overload in vehicular network. Since individual vehicular fog node is incapable of providing ultra-reliable and low-latency services constrained by limited resources, cooperation among vehicles becomes an attractive attempt to promote quality of service (QoS). In this paper, we propose a novel Overlapping-enabled Cooperative Vehicular Computing architecture in VFC, termed OCVC, to fully utilize vehicular fog nodes' local potential resources. The proposed OCVC architecture enables vehicles to participate in different fog groups simultaneously different from traditional cooperative computing architecture. In addition, we propose a distributed OCVC scheme to solve the complicated computing group for-mation, overlapping resource allocation, and task assignment problem based on overlapping coalition formation (OCF) game framework. We conduct experiments in several metrics and numerical results show that the proposed OCVC scheme per-forms at least 5 % better than other benchmarks under different conditions.
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