基于命名数据网络的边缘联合请求聚合和内容缓存

Parisa Bakhtou, S. Khorsandi
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引用次数: 0

摘要

请求聚合和内容缓存是命名数据网络中的两种内置机制。尽管增益聚合和缓存为网络边缘带来了高度激励,但这两个特性传统上在文献中是分开处理的。本文表明,将聚合与缓存相结合可以显著提高网络边缘性能。我们引入了一种新的联合聚合和缓存模型来描述同时聚合和缓存。以计算系统性能指标为目标,提出了一种近似方法。为了将此系统的性能与仅缓存场景进行比较,设计了一个原始的主动缓存方案来缓存最需要资源的请求的结果。考虑到边缘计算的兴起和物联网即将占据主导地位,瞬态和时间敏感内容是本文的主要焦点。研究结果表明,采用联合聚合和缓存技术可以提高边缘计算服务的用户体验,使边缘计算服务专注于可重用的时间敏感内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Request Aggregation and Content Caching at the Edge via Named Data Networking
Request Aggregation and Content Caching are two built-in mechanisms within Named Data Networking. Despite the highly motivating gain aggregation and caching bring to the network edge, these two features have been traditionally addressed separately in the literature. This paper shows that integrating aggregation with caching can significantly improve network edge performance. We introduce a novel joint aggregation and caching model to characterize simultaneous aggregation and caching. An approximation method is also presented with the goal of computing system performance measures. In order to compare the performance of this system with a cache-only scenario, a primitive proactive caching scheme is designed to cache the result of the most resource-demanding requests. Considering the rise of edge computing and the imminent domination of IoT, transient and time-sensitive contents are the main focus of this paper. The results obtained by this paper show that applying joint aggregation and caching can enhance the user experience with edge computing services dedicated to reusable time-sensitive content.
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