A TTL-based Approach for Content Placement in Edge Networks

A TTL-based Approach for Content Placement in Edge Networks
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边缘网络中基于 TTL 的内容放置方法

DOI:
10.1007/978-3-030-92511-6_1
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发表时间:
2017
期刊:
2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
影响因子:
--
通讯作者:
Paul Yu
Paul Yu
中科院分区:
--
文献类型:
--
作者:
Nitish K. Panigrahy;Jian Li;Faheem Zafari;D. Towsley;Paul Yu

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边缘网络通过在网络边缘提供计算和存储资源,有望为用户提供更好的服务。然而,由于用户兴趣、内容受欢迎程度、分布式网络结构、缓存大小的不确定性和多样性,决定将内容放置在哪里以及应该缓存多长时间是具有挑战性的。本文研究了基于定时器(TTL)策略的边缘网络内容放置效用优化问题。我们提出了可证明最优的分布式算法,这些算法在每个网络缓存上运行,以最大化整体网络效用。我们的基于TTL的优化模型从理论上回答了每个内容必须缓存多长时间,以及它应该放在边缘网络中的什么位置。大量测试表明,在某些网络拓扑结构下,该算法的路径复制性能明显优于传统的缓存算法。
Edge networks are promising to provide better services to users by provisioning computing and storage resources at the edge of networks. However, due to the uncertainty and diversity of user interests, content popularity, distributed network structure, cache sizes, it is challenging to decide where to place the content, and how long it should be cached. In this paper, we study the utility optimization of content placement at edge networks through timer-based (TTL) policies. We propose provably optimal distributed algorithms that operate at each network cache to maximize the overall network utility. Our TTL-based optimization model provides theoretical answers to how long each content must be cached, and where it should be placed in the edge network. Extensive evaluations show that our algorithm significantly outperforms path replication with conventional caching algorithms over some network topologies.
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