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Collaborative caching in content-oriented networks.

机译：面向内容的网络中的协作缓存。

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摘要

The content-oriented network is becoming a reality with enormous amount of contents such as high-definition videos and software packages being spreading across the entire network as the daily routine. Such an explosive demand on the content delivery has recently gained much attention with the increasing user popularity and the successful deployment of commercial systems. However, this also poses significant challenges on the existing network infrastructure due to the tremendous consumption of resources such as storage, link bandwidth and the involved network traffic cost. With the large amount of contents available in the entire network, how to efficient utilize the network capacity is becoming a critical problem in both research and practice.;The deployment of cache servers in content-oriented networks can help to alleviate the resource constrains, and also helps to move the content closer to end users with better user experiences. Cached contents are usually located close to users, which can greatly reduce the traffic on the network backbone with the improved performance. It also offloads the involved traffic cost by limiting the unregulated inter-domain traffic. Despite a large amount of existing caching mechanisms for conventional web applications, relatively little has been done in the cache design for content-oriented networks, which exhibit unique traffic features and user behaviors. Furthermore, there is a great potential as well as challenge in exploring collaboration among cache servers given their autonomous property and distributed nature.;In this thesis, we address the design and the analysis of collaborative caching mechanisms in several scenarios within content-oriented networks. We first discuss caching strategies in structured content-oriented networks. Based on the hierarchical topology derived from real-world Internet Protocol television (IPTV) systems, we propose efficient mechanisms to explore the capacity of the existing system infrastructure. We then investigate collaborative caching mechanisms in peer-to-peer (P2P) applications, considered as typical unstructured content-oriented networks. We specifically focus on eliminating the tremendous inter-domain traffic cost, with respect to dynamic P2P traffic patterns, peering policies and cache server capacity constraints. We then design incentive mechanisms for the cache collaboration in wireless multimedia networks, in order to promote the potential collaboration among selfish cache servers belonging to different administrative domains.;Through studies in both structured and unstructured content-oriented networks, we observe that the overall system performance can greatly benefit from the proposed collaborative caching mechanisms while the involved traffic cost is also minimized. Caching decisions are made based on specific topological properties, capacity constraints and optimization objectives. The analysis on incentive mechanisms further improves the practicability of proposed mechanisms.
机译：面向内容的网络正在成为现实，每天都会有大量内容（例如高清视频和软件包）遍布整个网络。随着用户的日益普及和商业系统的成功部署，对内容交付的这种爆炸性需求最近引起了很多关注。然而，由于诸如存储，链路带宽和所涉及的网络流量成本之类的资源的巨大消耗，这也对现有的网络基础设施构成了巨大的挑战。随着整个网络中大量内容的可用，如何有效利用网络容量已成为研究和实践中的关键问题。在面向内容的网络中部署缓存服务器可以帮助减轻资源限制，并且还有助于以更好的用户体验将内容移近最终用户。缓存的内容通常位于用户附近，这可以大大减少网络主干上的流量，并提高性能。通过限制不受管制的域间流量，它还减轻了所涉及的流量成本。尽管现有大量的常规Web应用程序缓存机制，但是在面向内容的网络的缓存设计中所做的工作相对较少，这些内容呈现出独特的流量功能和用户行为。此外，鉴于缓存服务器的自治性和分布式特性，在探索缓存服务器之间的协作方面存在巨大的潜力和挑战。本文针对面向内容的网络中几种场景下的协作缓存机制进行设计和分析。我们首先讨论结构化的面向内容的网络中的缓存策略。基于从现实世界的互联网协议电视（IPTV）系统派生的分层拓扑，我们提出了有效的机制来探索现有系统基础结构的容量。然后，我们研究了对等（P2P）应用程序中的协作缓存机制，该机制被认为是典型的非结构化面向内容的网络。我们特别专注于消除动态P2P流量模式，对等策略和缓存服务器容量限制方面的巨大域间流量成本。然后，我们设计了用于无线多媒体网络中的缓存协作的激励机制，以促进属于不同管理域的自私缓存服务器之间的潜在协作。通过结构化和非结构化的面向内容的网络的研究，我们观察到整个系统可以从建议的协作缓存机制中极大地受益于性能，同时还可以最大程度地减少所涉及的流量成本。根据特定的拓扑属性，容量限制和优化目标来做出缓存决策。对激励机制的分析进一步提高了拟议机制的实用性。

著录项

  • 作者

    Dai, Jie.;

  • 作者单位

    Hong Kong University of Science and Technology (Hong Kong).;

  • 授予单位 Hong Kong University of Science and Technology (Hong Kong).;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 122 p.
  • 总页数 122
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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