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Performance Analysis of Today's Networks: Network of Social Entities --- Network of Caches

机译：当今网络的性能分析：社会实体网络---缓存网络

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摘要

Extensive growth of Internet applications like communication, education, and leisure, along with the privacy concerns and significant amount of personalized contents, have clearly affected the connectivity of the networks and the users' behavior. The social nature of today's networks' users (the term 'social' is used as a general technical term for network users with specific mutual relationships, and can address a large domain of users, including but not limited to social media users) has in turn a major influence on the networks' shapes and characteristics. On the other hand, with the emergence of advanced hardware and software technologies which enable significant processing power and storage space in mobile devices, and with their ever increasing widespread use, today's Internet is moving from an infrastructure-based network towards a wireless ad-hoc network. Besides, caching data within the network is going to be inevitable to improve latency and reduce bandwidth consumption, and storage is being considered as one of the network primitives.;This research, thus, investigates the impact of the above aspects of today's networks on the performance. It first discusses and evaluates the effect of users' social behavior on the maximum achievable data rate in the wireless ad-hoc networks, and proves that social connection among nodes may actually help in scaling wireless networks. It also reveals that due to their different social status, various users have different effects on the performance, and therefore, traditional transport capacity concept for wireless networks is not appropriate for these types of networks.;Second part of this work investigates the improvements in the fundamental limits of the performance metrics in networks of caches, and evaluates the effect of different caching policies and content searching algorithms on the obtained improvements. Then a framework is presented to quantify the overhead traffic of locating contents, and is later used to define some optimal policies with respect to the contents that should be cached for an operator-driven content distribution system. This framework can generally be used in many other distributed systems contexts where a control plane has to stay aware of the state of the forwarding plane.
机译：Internet应用程序（如通信，教育和休闲）的广泛增长，以及对隐私的关注和大量的个性化内容，已明显影响了网络的连接性和用户的行为。当今网络用户的社会性质（术语“社会”被用作具有特定相互关系的网络用户的通用技术术语，可以解决包括但不限于社交媒体用户在内的广大用户）对网络的形状和特征有重大影响。另一方面，随着先进的硬件和软件技术的出现，这些技术在移动设备中实现了强大的处理能力和存储空间，并且随着它们的日益广泛使用，当今的Internet正在从基于基础结构的网络向无线ad-hoc过渡。网络。此外，在网络中缓存数据将不可避免，以提高延迟并减少带宽消耗，并且存储被认为是网络的原始方法之一。因此，本研究调查了当今网络上述各方面对网络的影响。性能。它首先讨论并评估了用户社交行为对无线自组织网络中最大可达到数据速率的影响，并证明了节点之间的社交联系实际上可以帮助扩展无线网络。它还表明，由于不同的社会地位，不同的用户对性能的影响也不同，因此，传统的无线网络传输能力概念不适用于这些类型的网络。第二部分研究了无线网络的改进。缓存网络中性能指标的基本限制，并评估不同缓存策略和内容搜索算法对所获得的改进的影响。然后，提出了一个框架来量化定位内容的开销流量，然后将其用于针对应为操作员驱动的内容分发系统缓存的内容定义一些最佳策略。该框架通常可用于控制平面必须了解转发平面状态的许多其他分布式系统环境中。

著录项

  • 作者

    Azimdoost, Bita.;

  • 作者单位

    University of California, Santa Cruz.;

  • 授予单位 University of California, Santa Cruz.;
  • 学科 Electrical engineering.;Computer science.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 207 p.
  • 总页数 207
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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