首页> 外文OA文献 >Analysis of multiclass Markovian polling systems with feedback and composite scheduling algorithms
【2h】

Analysis of multiclass Markovian polling systems with feedback and composite scheduling algorithms

机译:具有反馈和复合调度算法的多类马尔可夫轮询系统分析

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

We consider multiclass Markovian polling systems with feedback and analyze their average performance measures. Scheduling in polling systems has many applications in computer and communication systems. We utilize the framework that has been effectively used to analyze various composite scheduling algorithms in many types of multiclass queues systematically in conjunction with the functional computation method (Hirayama in Naval Research Logistics 50:719–741, 2003; Journal of the Operations Research Society of Japan 48:226–255, 2005; Advances in queueing theory and network applications, pp. 119–146, Springer, New York, 2009a; Journal of Industrial and Management Optimization 6:541–568, 2010).We define the conditional expected values of the performance measures such as the sojourn times as functions of the system state and find their expressions by solving some equations. Then from these expressions, we derive the average numbers of customers and the average sojourn times for all service stages of customers circulating the system. We consider their application to a packet scheduling problem where multiple categories of packets share a resource.
机译:我们考虑具有反馈的多类马尔可夫轮询系统,并分析其平均性能指标。轮询系统中的调度在计算机和通信系统中有许多应用。我们结合功能计算方法,利用有效地用于系统分析多种类型的多类队列中各种组合调度算法的框架(Hirayama in Naval Research Logistics 50:719-741,2003; Operation of Operations Research Society of日本48:226–255,2005;排队论和网络应用的进展,第119–146,纽约,Springer,2009a;《工业与管理优化杂志》 6:541–568,2010)。我们定义了条件期望诸如停留时间之类的性能指标的值作为系统状态的函数,并通过求解一些方程来找到它们的表达式。然后从这些表达式中,我们得出循环系统的所有客户服务阶段的平均客户数和平均逗留时间。我们考虑将它们应用于分组调度问题,其中多个类别的分组共享资源。

著录项

  • 作者

    Hirayama Tetsuji;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号