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An Agent-Based Model for the Adaptation of Processing Efficiency for Prioritized Traffic

机译:基于代理的优先流量处理效率适应模型

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摘要

The increasing number and variety of telecommunication services being offered by networks have emphasized the demand for optimized load management strategies. Obtainable processing efficiency is one of the key elements for all services and has to be dominantly supervised. Different priority levels and classifications can co-exist to support services, such fine regulation of precedence mixed with hard and destructive priority for critical service classes. Intelligent processing efficiency management with adaptive protection of predefined processing power can support such requests. This paper deals with the regulation of packets moving towards service-processing resources. Regulation is based on service priorities and processing load in the agent-controlled part of the network.
机译:网络所提供的电信服务的数量和种类不断增加,这凸显了对优化负载管理策略的需求。可获得的处理效率是所有服务的关键要素之一,必须受到监督。不同的优先级级别和分类可以共存以支持服务,这样的优先级精细调整与关键服务类别的硬性和破坏性优先级混合在一起。具有预定义处理能力的自适应保护的智能处理效率管理可以支持此类请求。本文讨论了向服务处理资源转移的数据包的规定。监管基于网络的代理控制部分中的服务优先级和处理负载。

著录项

  • 来源
    《》|2009年|P.550-559|共10页
  • 会议地点 Uppsala(SE);Uppsala(SE)
  • 作者单位

    University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia;

    rnUniversity of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia;

    rnUniversity of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;
  • 关键词

    intelligent agent; reinforcement learning; Q-learning;

    机译:智能代理;强化学习; Q学习;

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