首页> 外文会议>International Conference on Soft Computing for Problem Solving >A Fuzzy Clustering Method for Performance Evaluation for Distributed Real Time Systems
【24h】

A Fuzzy Clustering Method for Performance Evaluation for Distributed Real Time Systems

机译:一种模糊聚类方法,用于分布式实时系统的性能评估

获取原文

摘要

All practical real-time scheduling algorithm in distributed processing environment present a trade-off between their computational intricacy and performance. In real-time system, tasks have to perform correctly and timely. Finding minimal schedule in distributed processing system with constrains is shown to be NP- Hard. Systematic allocation of task in distributed real-time system is one of the major important parameter to evaluate the performance if this step is not execute properly the throughput of the system may be decrease. In this paper, a fuzzy clustering-based algorithm has been discussed.
机译:分布式处理环境中的所有实用实时调度算法在其计算复杂性和性能之间提出了权衡。在实时系统中,任务必须正确和及时执行。在具有约束的分布式处理系统中查找最小的时间表被显示为np-硬。在分布式实时系统中的系统分配是评估性能的主要重要参数之一,如果此步骤未正确执行,则系统的吞吐量可能会降低。本文讨论了一种模糊基于聚类的算法。

著录项

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