Narses: A Scalable Flow-Based Network Simulator Export

@misc{citeulike:949349, abstract = {Most popular, modern network simulators, such as ns, are targeted towards simulating low-level protocol details. These existing simulators are not intended for simulating large distributed applications with many hosts and many concurrent connections over long periods of simulated time. We introduce a new simulator, Narses, targeted towards large distributed applications. The goal of Narses is to simulate and validate large applications efficiently using network models of varying levels of detail. We introduce several simplifying assumptions that allow our simulator to scale to the needs of large distributed applications while maintaining a reasonable degree of accuracy. Initial results show up to a 45 times speedup while consuming 28\% of the memory used by ns. Narses maintains a reasonable degree of accuracy -- within 8\% on average.}, archivePrefix = {arXiv}, author = {Giuli, T. J. and Baker, Mary}, citeulike-article-id = {949349}, citeulike-linkout-0 = {http://arxiv.org/abs/cs.PF/0211024}, citeulike-linkout-1 = {http://arxiv.org/pdf/cs.PF/0211024}, day = {20}, eprint = {cs.PF/0211024}, keywords = {work}, month = {Nov}, posted-at = {2006-11-16 19:07:17}, priority = {2}, title = {Narses: A Scalable Flow-Based Network Simulator}, url = {http://arxiv.org/abs/cs.PF/0211024}, year = {2002} }

TY - ELEC ID - citeulike:949349 L3 - citeulike-article-id:949349 N2 - Most popular, modern network simulators, such as ns, are targeted towards simulating low-level protocol details. These existing simulators are not intended for simulating large distributed applications with many hosts and many concurrent connections over long periods of simulated time. We introduce a new simulator, Narses, targeted towards large distributed applications. The goal of Narses is to simulate and validate large applications efficiently using network models of varying levels of detail. We introduce several simplifying assumptions that allow our simulator to scale to the needs of large distributed applications while maintaining a reasonable degree of accuracy. Initial results show up to a 45 times speedup while consuming 28% of the memory used by ns. Narses maintains a reasonable degree of accuracy -- within 8% on average. TI - Narses: A Scalable Flow-Based Network Simulator KW - work AU - Giuli, TJ AU - Baker, Mary PY - 2002/Nov/20/ UR - http://arxiv.org/abs/cs.PF/0211024 ER -