首页> 外文会议>The 21st IASTED international multi-conference on applied informatics >The Utlization of Distributed Processing on Signaling Calls in High Speed ATM Network: Architecture, Modeling, Simulation, Performance Analysis
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The Utlization of Distributed Processing on Signaling Calls in High Speed ATM Network: Architecture, Modeling, Simulation, Performance Analysis

机译:分布式处理在高速ATM网络中对信令呼叫的利用:体系结构,建模,仿真和性能分析

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This paper presents an efficient distributed call processingrnarchitecture to accelerate the call setup process in ATM networks.rnAlthough distributed call processing had been previouslyrnemployed in classical telephony, the study reportedrnhere is unique in that, in ATM networks, call processing isrndriven by user call requests and Quality of Service (QoS)rnmetrics. The architecture is designed to address a highlyrnstressed network, just short of driving it into “instability”.rnTwo representative networks – a 15-node and a 50-nodernATM network spanning the continental US, are modeledrnin an asynchronous distributed simulator and executed onrnan asynchronous distributed testbed of 45+ linux workstations.rnThe underlying distributed hardware architecturesrnfor the ATM nodes are modeled utilizing realistic values forrnthe logic and timing parameters. Extensive simulation experimentsrnare designed and executed to yield insights intornnetwork performance behavior, encapsulated through keyrnmetrics including call success rate, call setup time, and linkrnbandwidth utilization, as a function of the important parametersrnof the distributed call processing architecture includingrnthe number of call processors at a node, the degree ofrncontention for the shared memory, and shared memory accessrnspeed.
机译:本文提出了一种有效的分布式呼叫处理体系结构,以加速ATM网络中的呼叫建立过程。尽管以前在经典电话中已经采用了分布式呼叫处理,但该研究报告的独特之处在于,在ATM网络中,呼叫处理受用户呼叫请求和质量驱动服务(QoS)指标。该体系结构旨在解决高度紧张的网络,而不会导致其陷入“不稳定”状态。在异步分布式模拟器中对两个代表性的网络(一个15节点和一个50节点的ATM网络跨越美国大陆)进行建模,并在onrnan异步分布式环境中执行在45个以上Linux工作站的测试台上。使用逻辑和定时参数的实际值对ATM节点的基础分布式硬件体系结构进行建模。设计并执行了广泛的仿真实验,以洞悉网络性能行为,并通过包括呼叫成功率,呼叫建立时间和链路带宽利用率在内的关键指标将其封装为分布式呼叫处理体系结构的重要参数的函数,包括节点上呼叫处理器的数量,共享内存的争用程度和共享内存的访问速度。

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