车载微云数据存储中的内容复制:一种移动感知方法

Takamasa Higuchi, Gurjashan Singh Pannu, F. Dressler, O. Altintas
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引用次数: 11

摘要

本文提出了一种车辆微云(即互联车辆集群)在V2V网络上形成区域分布式数据存储的智能机制。每个成员车辆在其本地数据存储设备中保留一部分数据内容,并在离开车载微云时将这些内容移交给其他成员。为了应对由于内容移交失败而可能造成的数据丢失,车辆微云创建了每个数据内容的副本,并将其保存在不同的成员车辆上。然而,即使系统创建了多个副本,仍然存在一次丢失所有副本的风险,因为托管副本的车辆可能会在短时间内离开车辆微云。这种同时发生的故障可能经常发生,因为附近的车辆在机动性上往往有很强的相关性。为了解决这个问题,我们的算法将数据副本分配给一小部分成员车辆,这些车辆的未来移动性预计不会彼此强烈相关。仿真结果表明,我们的机动感知副本分配算法在不增加车辆微云副本数量的情况下,显著提高了数据管理的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Content Replication in Vehicular Micro Cloud-based Data Storage: A Mobility-Aware Approach
This paper presents an intelligent mechanism for a vehicular micro cloud (i.e., a cluster of connected vehicles) to form a regional distributed data storage over V2V networks. Each member vehicle keeps a subset of data contents in their local data storage device, and hands over the contents to other member(s) when leaving the vehicular micro cloud. In order to cope with potential data loss due to failure of content handovers, the vehicular micro cloud creates replica(s) of each data content, and keeps them at different member vehicles. However, even if the system creates multiple replicas, there still remains the risk of losing all of them at once, as vehicles hosting the replicas could move away from the vehicular micro cloud in a short period of time. Such simultaneous failures could frequently occur, since vehicles in the vicinity often have strong correlation in their mobility. To address this issue, our algorithm assigns data replicas to a small subset of member vehicles, whose future mobility is not expected to be strongly correlated with each other. Simulation results show that our mobility-aware replica assignment algorithm can significantly improve the reliability of data management without increasing the number of replicas in a vehicular micro cloud.
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