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基于内容流行度和节点协作的卫星网络缓存放置策略。

The satellite network cache placement strategy based on content popularity and node collaboration.

机构信息

Communication and Network Key Laboratory, Dalian University, Dalian, Liaoning, China.

College of Environment and Chemical Engineering, Dalian University, Dalian, Liaoning, China.

出版信息

PLoS One. 2024 Aug 15;19(8):e0307280. doi: 10.1371/journal.pone.0307280. eCollection 2024.

Abstract

Proposed is a Satellite network cache placement strategy (PNCCP) based on popularity and node cooperation to address the issue of significant delays in end-to-end connectivity due to instability among satellites. Initially, the strategy employs spectral clustering algorithm to partition the satellite network's topology, limiting the retrieval scope of content and reducing unnecessary propagation delays. Within each partition, a cache collaboration open mechanism among satellites is devised to share cache resources, utilizing the proximity of neighboring nodes to share popular content and cache space. Furthermore, the data naming network (NDN) cache model is enhanced and integrated with the open mechanism, with an update mechanism designed to address the invalidation caused by the dynamic nature of satellite networks. Finally, aiming to minimize users' average retrieval delay, the artificial bee colony algorithm is employed to solve the optimal cache placement problem. Simulation results demonstrate that compared to three contrasting cache strategies, the proposed strategy reduces user content retrieval delays, improves cache hit rates, and holds an advantage in reducing request hop counts.

摘要

提出了一种基于流行度和节点协作的卫星网络缓存放置策略(PNCCP),以解决由于卫星之间的不稳定性导致的端到端连接延迟较大的问题。该策略首先采用谱聚类算法对卫星网络的拓扑结构进行分区,限制内容的检索范围,减少不必要的传播延迟。在每个分区内,设计了一种卫星间的缓存协作开放机制,利用相邻节点的接近性共享热门内容和缓存空间。此外,对数据命名网络(NDN)缓存模型进行了增强,并与开放机制集成,设计了更新机制以解决卫星网络动态性引起的失效问题。最后,为了最小化用户的平均检索延迟,采用人工蜂群算法来解决最优缓存放置问题。仿真结果表明,与三种对比缓存策略相比,所提出的策略降低了用户的内容检索延迟,提高了缓存命中率,并且在减少请求跳数方面具有优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d5b/11326556/080d9d9a9c02/pone.0307280.g001.jpg

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