{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/81656"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/81656","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Enabling Theoretical Model Based Techniques for Simulating Large Scale Networks","abstract":"We develop a fluid model of describing the data transmission activities in IEEE 802.11-operated WLANs, and used it to explore whether or not fluid model-based simulation is effective in simulating WLANs. Fluid model based simulation is not well-suited for studying the network behavior under light and/or sporadic traffic, as it assumes a large number of flows in networks. To address the issue, we introduce the notion of network calculus based simulation; we characterize the interaction between TCP and AQM, determine necessary scheduling rules to regulate TCP traffic, and incorporate the rules into a simulation engine. Although both fluid model based and network calculus based simulation give encouraging results in terms of the execution time, they cannot provide packet level details, such as the instantaneous queue length and packet dropping probability, due to the use of larger simulation units. In order to provide the packet level dynamics, we propose mixed mode simulation. In mixed mode simulation, packet mode simulation co-exists with theoretical model-based simulation within one simulation framework. We also propose a new rescaling simulation methodology (RSM) to simulate IP networks with TCP and/or UDP traffic for the cases that the behaviors of all the flows should be inspected. The underlying idea of RSM based simulation is to reduce the computation by scaling down the network to one that can be simulated in a short time to produce sufficient results, and then to extrapolate the results for the original network with the results obtained from the smaller network.","abstract_html":"We develop a fluid model of describing the data transmission activities in IEEE 802.11-operated WLANs, and used it to explore whether or not fluid model-based simulation is effective in simulating WLANs. Fluid model based simulation is not well-suited for studying the network behavior under light and/or sporadic traffic, as it assumes a large number of flows in networks. To address the issue, we introduce the notion of network calculus based simulation; we characterize the interaction between TCP and AQM, determine necessary scheduling rules to regulate TCP traffic, and incorporate the rules into a simulation engine. Although both fluid model based and network calculus based simulation give encouraging results in terms of the execution time, they cannot provide packet level details, such as the instantaneous queue length and packet dropping probability, due to the use of larger simulation units. In order to provide the packet level dynamics, we propose mixed mode simulation. In mixed mode simulation, packet mode simulation co-exists with theoretical model-based simulation within one simulation framework. We also propose a new rescaling simulation methodology (RSM) to simulate IP networks with TCP and/or UDP traffic for the cases that the behaviors of all the flows should be inspected. The underlying idea of RSM based simulation is to reduce the computation by scaling down the network to one that can be simulated in a short time to produce sufficient results, and then to extrapolate the results for the original network with the results obtained from the smaller network.","abstract_has_math":false,"creators":["Kim, Hwangnam"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Jennifer C. Hou"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T20:19:47Z","date_published":"2015-09-25T20:19:47Z","updated_at":"2026-07-22T22:26:16Z","subjects":["Computer Science"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3160903"],"render_values":[{"text":"(MiAaPQ)AAI3160903","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/81656","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Jennifer C. 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Fluid model based simulation is not well-suited for studying the network behavior under light and/or sporadic traffic, as it assumes a large number of flows in networks. To address the issue, we introduce the notion of network calculus based simulation; we characterize the interaction between TCP and AQM, determine necessary scheduling rules to regulate TCP traffic, and incorporate the rules into a simulation engine. Although both fluid model based and network calculus based simulation give encouraging results in terms of the execution time, they cannot provide packet level details, such as the instantaneous queue length and packet dropping probability, due to the use of larger simulation units. In order to provide the packet level dynamics, we propose mixed mode simulation. In mixed mode simulation, packet mode simulation co-exists with theoretical model-based simulation within one simulation framework. We also propose a new rescaling simulation methodology (RSM) to simulate IP networks with TCP and/or UDP traffic for the cases that the behaviors of all the flows should be inspected. The underlying idea of RSM based simulation is to reduce the computation by scaling down the network to one that can be simulated in a short time to produce sufficient results, and then to extrapolate the results for the original network with the results obtained from the smaller network.","Made available in DSpace on 2015-09-25T20:19:47Z (GMT). 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Hou"],"dc:creator":["Kim, Hwangnam"],"dc:date":["2015-09-25T20:19:47Z","10000-01-01","2004"],"dc:description":["We develop a fluid model of describing the data transmission activities in IEEE 802.11-operated WLANs, and used it to explore whether or not fluid model-based simulation is effective in simulating WLANs. Fluid model based simulation is not well-suited for studying the network behavior under light and/or sporadic traffic, as it assumes a large number of flows in networks. To address the issue, we introduce the notion of network calculus based simulation; we characterize the interaction between TCP and AQM, determine necessary scheduling rules to regulate TCP traffic, and incorporate the rules into a simulation engine. Although both fluid model based and network calculus based simulation give encouraging results in terms of the execution time, they cannot provide packet level details, such as the instantaneous queue length and packet dropping probability, due to the use of larger simulation units. In order to provide the packet level dynamics, we propose mixed mode simulation. In mixed mode simulation, packet mode simulation co-exists with theoretical model-based simulation within one simulation framework. We also propose a new rescaling simulation methodology (RSM) to simulate IP networks with TCP and/or UDP traffic for the cases that the behaviors of all the flows should be inspected. The underlying idea of RSM based simulation is to reduce the computation by scaling down the network to one that can be simulated in a short time to produce sufficient results, and then to extrapolate the results for the original network with the results obtained from the smaller network.","Made available in DSpace on 2015-09-25T20:19:47Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3160903.pdf: 13091441 bytes, checksum: 90b4709c0a8fb88594377a3f6347070c (MD5) Previous issue date: 2004","Embargo set by: Seth Robbins for item 82937 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","170 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004."],"dc:identifier":["http://hdl.handle.net/2142/81656","(MiAaPQ)AAI3160903"],"dc:language":["eng"],"dc:subject":["Computer Science"],"dc:title":["Enabling Theoretical Model Based Techniques for Simulating Large Scale Networks"],"dc:type":["text"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:16Z"}