首页> 外文期刊>Computer networks >On the queue-overflow probabilities of a class of distributed scheduling algorithms
【24h】

On the queue-overflow probabilities of a class of distributed scheduling algorithms

机译:一类分布式调度算法的队列溢出概率

获取原文
获取原文并翻译 | 示例

摘要

In this paper, we are interested in using large-deviations theory to characterize the asymptotic decay-rate of the queue-overflow probability for distributed wireless scheduling algorithms, as the overflow threshold approaches infinity. We consider ad hoc wireless networks where each link interferes with a given set of other links, and we focus on a distributed scheduling algorithm called Q-SCHED, which is introduced by Gupta et al. First, we derive a lower bound on the asymptotic decay rate of the queue-overflow probability for Q-SCHED. We then present an upper bound on the decay rate for all possible algorithms operating on the same network. Finally, using these bounds, we are able to conclude that, subject to a given constraint on the asymptotic decay rate of the queue-overflow probability, Q-SCHED can support a provable fraction of the offered loads achievable by any algorithms.
机译:在本文中,我们感兴趣的是使用大偏差理论来表征分布式无线调度算法的队列溢出概率的渐近衰减率,因为溢出阈值接近无穷大。我们考虑了ad hoc无线网络,其中每个链路都会干扰给定的其他链路集,并且我们将重点放在Gupta等人介绍的称为Q-SCHED的分布式调度算法上。首先,我们得出Q-SCHED的队列溢出概率的渐近衰减率的下界。然后,我们为在同一网络上运行的所有可能算法提供了衰减率的上限。最后,使用这些界限,我们可以得出结论,在给定的队列溢出概率渐近衰减率约束的前提下,Q-SCHED可以支持任何算法可提供的负载中可证明的一部分。

著录项

  • 来源
    《Computer networks》 |2011年第1期|p.343-355|共13页
  • 作者

    Can Zhao; Xiaojun Lin;

  • 作者单位

    School of Electrical and Computer Engineering, Electrical Engineering Building. Purdue University. West Lafayette, IN 47906, United States;

    School of Electrical and Computer Engineering, Electrical Engineering Building. Purdue University. West Lafayette, IN 47906, United States;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    wireless networks; quality of service; large deviations; scheduling algorithms;

    机译:无线网络;服务质量;大偏差;调度算法;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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