A quality of service based allocation and routing algorithm for distributed, heterogeneous real time systems

S. Chatterjee
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引用次数: 13

Abstract

An increasing number of applications execute over a set of computing and communication resources and have end-to-end quality of service (QoS) requirements. Given a system and an application with specific flow structure and QoS requirements, this paper describes an integrated QoS-based allocation and routing algorithm that determines which computing and communication resources to utilize for this application. More specifically, the algorithm finds the best flow path for an application, subject to application flow and QoS constraints, so as to optimize system objectives (e.g., minimize total system utilization or balance the load). The paper also introduces a /spl Delta/-optimal algorithm that, relative to the optimal algorithm, significantly reduces the run-time of the algorithm with a minor degradation in the optimality of the solution. The /spl Delta/-optimal algorithm is guaranteed to produce a result that is at most /spl Delta/-units sub-optimal. The paper also analyzes the optimality and run time of the solution as a function of /spl Delta/ for two multimedia scenarios. Rules of thumb for setting /spl Delta/ are also given.
一种基于服务质量的分布式异构实时系统分配和路由算法
越来越多的应用程序在一组计算和通信资源上执行,并且具有端到端的服务质量(QoS)需求。针对具有特定流结构和QoS要求的系统和应用,本文描述了一种基于QoS的集成分配和路由算法,该算法决定了该应用应利用哪些计算和通信资源。更具体地说,该算法在应用程序流和QoS约束下为应用程序寻找最佳流路径,从而优化系统目标(例如最小化系统总利用率或平衡负载)。本文还介绍了一种/spl Delta/-最优算法,相对于最优算法,该算法显著减少了算法的运行时间,而解决方案的最优性略有下降。/spl Delta/-最优算法保证产生最多/spl Delta/-单位次优的结果。本文还分析了在两种多媒体场景下,该解决方案作为/spl Delta/函数的最优性和运行时间。还给出了设置/spl Delta/的经验法则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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