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Scalability and Congestion Control in Broadband Intelligent and Mobile Networks

机译:宽带智能和移动网络中的可扩展性和拥塞控制

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摘要

The use of mobile communication networks has increased rapidly in the last two decades. This growth is expected to continue at a high rate in the foreseeable udfuture. Consequently, issues such as network scalability and overload/congestion control cannot be overlooked and must be taken into account in the design and operation of these networks. Scalability is the ability of the network to accommodate an increasing number of users, more and diversified services, expanding geographical coverage, etc., while maintaining high availability of network resources and preserving quality of service requirements. In the design process of a large network and its underlying protocols, several alternatives may be proposed to allow for scalable solutions. In the presence of a large number of potential active users, overload at parts of the network is likely to occur, at least occasionally, during busy hours or due to some unexpected events. In the absence of proper control to help avoid overloads and to quickly dissipate them when they occur, congestion may persist for extended periods of time, leading to unacceptable delays and high blocking rate of service requests. Therefore, it is crucial that the network be equipped with algorithms to protect critical network entities from becoming overloaded; i.e., congestion control algorithms. The first main focus of this thesis is network scalability. A methodology for the modeling and quantitative analysis of scalability is introduced and applied for the evaluation of a prototype Broadband Intelligent Network (B-IN) that has been developed in the European ACTS projects "INSIGNIA" and "EXODUS". The second main focus of this thesis is network congestion control. Novel congestion control algorithms are proposed for the same B-IN prototype developed in the ACTS projects "INSIGNIA" and "EXODUS". Important qualitative criteria are identified for the evaluation of these algorithms, and extensive performance experimentation is carried out to demonstrate their effectiveness and superiority in comparison with other known congestion control solutions.
机译:在过去的二十年中,移动通信网络的使用迅速增加。在可预见的将来,这种增长有望继续高速增长。因此,诸如网络可伸缩性和过载/拥塞控制之类的问题不可忽视,并且在这些网络的设计和操作中必须予以考虑。可扩展性是网络在保持网络资源的高可用性并保持服务质量要求的同时,能够容纳越来越多的用户,更多和多样化的服务,扩大地理覆盖范围等的能力。在大型网络及其底层协议的设计过程中,可能会提出几种替代方案,以实现可伸缩的解决方案。在存在大量潜在活动用户的情况下,网络的某些部分可能会发生过载,至少偶尔会在繁忙时段或由于某些意外事件而发生。如果没有适当的控制来帮助避免过载并在过载发生时迅速消除它们,则拥塞可能会持续很长一段时间,从而导致无法接受的延迟和较高的服务请求阻塞率。因此,至关重要的是,网络必须配备算法,以保护关键网络实体免于过载。即拥塞控制算法。本文的首要重点是网络可扩展性。介绍了一种用于可伸缩性建模和定量分析的方法,并将其用于评估在欧洲ACTS项目“ INSIGNIA”和“ EXODUS”中开发的原型宽带智能网络(B-IN)。本文的第二个主要重点是网络拥塞控制。针对在ACTS项目“ INSIGNIA”和“ EXODUS”中开发的同一B-IN原型,提出了新的拥塞控制算法。确定了评估这些算法的重要定性标准,并进行了广泛的性能实验,以证明它们与其他已知的拥塞控制解决方案相比是有效的和优越的。

著录项

  • 作者

    Karagiannis Georgios;

  • 作者单位
  • 年度 2002
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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