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Resource allocation and pricing for QoS management in computer networks.

机译:计算机网络中QoS管理的资源分配和定价。

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Computer networks must accommodate a wide variety of applications. Many of these applications require certain Quality of Service (QoS) guarantees for their proper operation. QoS guarantees include bounds on the packet delay, delay variation and loss rate. These guarantees can be provided through the allocation of network resources. Two important resource allocation issues are addressed in this thesis. First, methods are needed to reduce the amount of resources and renegotiations required to provide a desired QoS. Second, network administrators are interested in allocating and managing resources to all users in an efficient and fair manner.; Determining an efficient amount of network resources that will result in a desired QoS is difficult for certain sources (multimedia), due to their unpredictable behavior and limited a priori source information. In this thesis, an allocation method called Dynamic Search Algorithm (DSA+) is introduced. DSA+ is an on-line algorithm that dynamically adjusts the resource allocation based upon the measured QoS. Advantages of DSA + include efficient use of resources, few renegotiations, reasonable implementation cost, and stringent QoS control. The ability of DSA+ to allocate bandwidth to meet a desired cell loss probability is investigated and analyzed via simulation using generated (MMBP) and actual MPEG-compressed videos. Advantages of DSA+ over other allocation methods, the robustness to initial parameter selection and the ability to allocate for multiple hop connections are presented.; Network managers seek to allocate resources, to all users, in an efficient and fair manner. In this thesis, microeconomic-based allocation techniques are introduced that model the network as an economy, consisting of multiple competitive markets. Two different types of markets are used to allocate resources: the spot market and the reservation market. The reservation market provides users the advantage of bandwidth ownership over a period of time, while the bandwidth sold in the spot market has the advantage of immediate availability (no reservation overhead). Proofs of microeconomic and computer network measures of fairness are presented, as well as price stability. The performance of these resource allocation methods are also investigated and analyzed using simulations with various network configurations and actual MPEG-compressed videos.
机译:计算机网络必须适应各种各样的应用。这些应用程序中的许多应用程序都需要一定的服务质量(QoS)保证才能正常运行。 QoS保证包括数据包延迟,延迟变化和丢失率的界限。这些保证可以通过分配网络资源来提供。本文解决了两个重要的资源分配问题。首先,需要减少提供所需QoS所需的资源和重新协商数量的方法。其次,网络管理员有兴趣以高效,公平的方式向所有用户分配和管理资源。对于某些源(多媒体),由于它们的不可预测的行为和有限的先验源信息,很难确定将导致所需QoS的有效网络资源量。本文介绍了一种称为动态搜索算法(DSA + )的分配方法。 DSA + 是一种在线算法,可以根据测得的QoS动态调整资源分配。 DSA + 的优点包括资源的有效利用,重新协商少,实现成本合理以及严格的QoS控制。通过使用生成的(MMBP)和实际的MPEG压缩视频进行仿真,研究和分析了DSA + 分配带宽以满足所需的信元丢失概率的能力。提出了DSA + 与其他分配方法相比的优势,对初始参数选择的鲁棒性以及为多跳连接分配的能力。网络管理员寻求以高效,公平的方式向所有用户分配资源。在本文中,引入了基于微观经济的分配技术,该技术将网络建模为一个由多个竞争市场组成的经济体。两种不同类型的市场用于分配资源:现货市场和预订市场。预留市场在一段时间内为用户提供了带宽所有权的优势,而现货市场上出售的带宽则具有即时可用性(无预留开销)的优势。提出了微观经济和计算机网络公平性衡量标准以及价格稳定性的证明。还使用各种网络配置和实际的MPEG压缩视频进行仿真,研究和分析了这些资源分配方法的性能。

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