大规模网络模拟:有多大?有多快?

R. Fujimoto, K. Perumalla, Alfred Park, Hao Wu, M. Ammar, G. Riley
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引用次数: 207

摘要

并行和分布式仿真工具正在出现,它们提供了在前所未有的规模上执行大规模计算机网络的详细、分组级仿真的能力。对大规模网络仿真的最新进展进行了定量描述。为此,基于每秒时钟时间(PTS)内模拟器可以处理的数据包传输数量的度量被用作定量评估包级网络模拟器性能的一种手段。描述了一种利用现有序列仿真模型和软件实现可扩展网络仿真的方法。最近的一项性能研究结果涉及从工作站到集群计算机再到超级计算机的各种平台上的大规模网络模拟。这些实验包括使用多达1536个处理器的运行,产生高达1.06亿PTS的性能。简要描述了数据包级web和ftp流量模拟的性能,以及对包含数百万网络节点的网络的拒绝服务攻击,包括在接近实时的情况下模拟一百万网络流量的能力。讨论了充分利用这一能力的新机遇和研究挑战。
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Large-scale network simulation: how big? how fast?
Parallel and distributed simulation tools are emerging that offer the ability to perform detailed, packet-level simulations of large-scale computer networks on an unprecedented scale. The state-of-the-art in large-scale network simulation is characterized quantitatively. For this purpose, a metric based on the number of packet transmissions that can be processed by a simulator per second of wallclock time (PTS) is used as a means to quantitatively assess packet-level network simulator performance. An approach to realizing scalable network simulations that leverages existing sequential simulation models and software is described. Results from a recent performance study are presented concerning large-scale network simulation on a variety of platforms ranging from workstations to cluster computers to supercomputers. These experiments include runs utilizing as many as 1536 processors yielding performance as high as 106 million PTS. The performance of packet-level simulations of web and ftp traffic, and denial of service attacks on networks containing millions of network nodes are briefly described, including a run demonstrating the ability to simulate a million web traffic flows in near real-time. New opportunities and research challenges to fully exploit this capability are discussed.
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