{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:42:40Z","timestamp":1750308160292,"version":"3.41.0"},"reference-count":11,"publisher":"Association for Computing Machinery (ACM)","issue":"5","license":[{"start":{"date-parts":[[2006,10,10]],"date-time":"2006-10-10T00:00:00Z","timestamp":1160438400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGCOMM Comput. Commun. Rev."],"published-print":{"date-parts":[[2006,10,10]]},"abstract":"<jats:p>This paper presents a scalable time-stepped hybrid simulation algorithm which is well adapted to the simulation of large IP networks (up to one million of competing ows and network elements), while tracking reactive traffic behaviour and packet-level phenomena e.g. timeout trigger or packet burstiness. This simulation paradigm allows one to gain several orders of magnitude of computation time compared to traditional discrete event simulation approaches. The accuracy of this simulation method is evaluated by comparison to other simulation methodologies. Examples of large scale network simulations are also presented.<\/jats:p>","DOI":"10.1145\/1163593.1163600","type":"journal-article","created":{"date-parts":[[2006,10,18]],"date-time":"2006-10-18T22:35:32Z","timestamp":1161210932000},"page":"35-38","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["NetScale"],"prefix":"10.1145","volume":"36","author":[{"given":"Laurent","family":"Fourni\u00e9","sequence":"first","affiliation":[{"name":"N2NSoft, Paris France"}]},{"given":"Dohy","family":"Hong","sequence":"additional","affiliation":[{"name":"N2NSoft, Paris France"}]},{"given":"Florent","family":"Perisse","sequence":"additional","affiliation":[{"name":"N2NSoft, Paris France"}]}],"member":"320","published-online":{"date-parts":[[2006,10,10]]},"reference":[{"volume-title":"D. (2003)","author":"Baccelli F.","key":"e_1_2_1_1_1"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/781027.781036"},{"volume-title":"M. (2004)","author":"Cao J.","key":"e_1_2_1_3_1"},{"key":"e_1_2_1_4_1","unstructured":"Crovella M.E. Taqqu M.S. and Bestavros A. (1998) Heavy-Tailed Probability Distributions in the World Wide Web. A Prac. Guide To Heavy Tails: Stat. Tech. and Appl. Birkhauser Verlag.   Crovella M.E. Taqqu M.S. and Bestavros A. (1998) Heavy-Tailed Probability Distributions in the World Wide Web. A Prac. Guide To Heavy Tails: Stat. Tech. and Appl. Birkhauser Verlag."},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/235160.235162"},{"key":"e_1_2_1_6_1","first-page":"441","volume-title":"Proc. INFOCOM","author":"Guo Y.","year":"2000"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/781027.781039"},{"volume-title":"2nd EuroNGI Conf, April.","year":"2006","author":"Randriamasy S.","key":"e_1_2_1_8_1"},{"key":"e_1_2_1_9_1","unstructured":"Randriamasy S. Fourni\u00e9 L. Hong D. (2006) Distributed adaptive multi-criteria load balancing: analysis and end to end simulation. INFOCOM Poster and Demo Session April.  Randriamasy S. Fourni\u00e9 L. Hong D. (2006) Distributed adaptive multi-criteria load balancing: analysis and end to end simulation. INFOCOM Poster and Demo Session April."},{"key":"e_1_2_1_10_1","unstructured":"Willinger W. Paxson V. and Taqqu M.S. (1998) Self-Similarity and Heavy Tails: Structural Modeling of Network Traffic. A Prac. Guide to Heavy TailsBirkhauser Verlag.   Willinger W. Paxson V. and Taqqu M.S. (1998) Self-Similarity and Heavy Tails: Structural Modeling of Network Traffic. A Prac. Guide to Heavy TailsBirkhauser Verlag."},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/18.771162"}],"container-title":["ACM SIGCOMM Computer Communication Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1163593.1163600","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1163593.1163600","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T16:19:02Z","timestamp":1750263542000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1163593.1163600"}},"subtitle":["scalable time-stepped hybrid simulation of large IP networks"],"short-title":[],"issued":{"date-parts":[[2006,10,10]]},"references-count":11,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2006,10,10]]}},"alternative-id":["10.1145\/1163593.1163600"],"URL":"https:\/\/doi.org\/10.1145\/1163593.1163600","relation":{},"ISSN":["0146-4833"],"issn-type":[{"type":"print","value":"0146-4833"}],"subject":[],"published":{"date-parts":[[2006,10,10]]},"assertion":[{"value":"2006-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}