权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Ultra High Speed Traffic Simulation by Super Computer

超级计算机超高速交通模拟

基本信息

批准号：
06452239
负责人：
TANAKA Yoshiaki
金额：
$ 4.74万
依托单位：
Waseda University (1996)The University of Tokyo (1994-1995)
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
1994
资助国家：
日本
起止时间：
1994 至 1996
项目状态：
已结题

项目摘要

Recently, many research, institutes have supercomputers, However, conventional traffic simulation methods cannot take advantage of vector processing capabilities of a supercomputer. A new simulation method fit for supercomputer is proposed. In this method, simulation parameters such as call originations and link states for a fixed time, are transformed into vectors and matrices. The performance using the vectorized simulation method for circuit, packet, and ATM switching networks is compared with that of the conventional method. The proposed simulation method gave similar loss probability and delay distribution. However, the CPU time of the proposed simulation method is significantly short.In these days, another type of supercomputer is becoming popular. Thatis parallel computer. A new traffic simulation method by using parallel computer is also studied. This method is applied to ATM network. ATM traffic has two levels, that is, call-level and cell-level. Call-level simulation, which means that we can see only whether connections are established or not, is comparatively easy. Besides this, cell-level simulation is also needed. We have to be able to see which cells have arrived and which have not. This is necessary to obtain the cell loss rate and the delay distribution. In ATM network, so many cells are transmitted and received in a short time, that the simulation needs a lot of computation. Therefore, it is difficult to make cell-level simulation of a large size ATM network by using conventional computer.A high-speed ATM traffic simulator is developed, which works on a parallel computer with cell-level observation supported. Clustering of the nodes of the network is needed to assign tasks to parallel processors. It is optimized in order to minimize the communication time between processors. The CPU time has been considerably shortened, compared with a conventional main frame computer.

近年来，许多研究机构都拥有了超级计算机，然而，传统的交通仿真方法无法利用超级计算机的矢量处理能力。提出了一种新的适用于巨型机的仿真方法。在该方法中，模拟参数，如呼叫发起和链路状态的一个固定的时间，转换成向量和矩阵。电路，分组和ATM交换网络的性能使用矢量化的模拟方法进行了比较与传统的方法。所提出的仿真方法给出了相似的损失概率和延迟分布。然而，所提出的模拟方法的CPU时间明显短。在这些天，另一种类型的超级计算机正在变得流行。这是并行计算机。研究了利用并行计算机进行交通仿真的新方法。该方法适用于ATM网络。ATM业务有两个层次，即呼叫层和信元层。呼叫级模拟，这意味着我们只能看到连接是否建立，相对来说比较容易。除此之外，还需要进行细胞级仿真。我们必须能够看到哪些细胞已经到达，哪些尚未到达。这对于获得信元丢失率和延迟分布是必要的。在ATM网络中，由于短时间内要发送和接收大量的信元，因此仿真需要大量的计算。针对传统计算机难以对大规模ATM网络进行信元级仿真的问题，提出了一种在并行计算机上实现的支持信元级观测的高速ATM业务模拟器。网络的节点的集群需要分配任务到并行处理器。它被优化以最小化处理器之间的通信时间。与传统的主机计算机相比，CPU时间大大缩短。