{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/9456"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/9456","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Congestion-dependent pricing for a service provider","abstract":"A service provider who provides users access· to a communication network is constrained in the system by the limited amount of bandwidth that can be offered to users. We will discuss congestion-dependent pricing, a method of pricing connection access to the network that accounts for this bandwidth constraint. Different models for the system are analyzed and simulated. The case of multiple classes of users as well as the case of a probabilistic demand function are analyzed in detail. The dynamic congestion-dependent pricing policy that maximizes performance will be determined using dynamic programming. The steady state revenue generated for the service provider will be used as the measure of system performance. Additionally, approximation and estimation techniques to simplify analysis and implementation of different systems are analyzed.","abstract_html":"A service provider who provides users access· to a communication network is constrained in the system by the limited amount of bandwidth that can be offered to users. We will discuss congestion-dependent pricing, a method of pricing connection access to the network that accounts for this bandwidth constraint. Different models for the system are analyzed and simulated. The case of multiple classes of users as well as the case of a probabilistic demand function are analyzed in detail. The dynamic congestion-dependent pricing policy that maximizes performance will be determined using dynamic programming. The steady state revenue generated for the service provider will be used as the measure of system performance. Additionally, approximation and estimation techniques to simplify analysis and implementation of different systems are analyzed.","abstract_has_math":false,"creators":["Bharti, Piyush, 1976-"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","school":null,"contributors":[],"advisors":["John N. Tsitsiklis."],"committee_chairs":[],"committee_members":[],"year":1999,"date_issued":"1999","date_published":"1999","updated_at":"2026-07-22T22:20:44Z","subjects":["Electrical Engineering and Computer Science"],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/9456","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["John N. Tsitsiklis."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Bharti, Piyush, 1976-"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2005-08-22T18:30:17Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2005-08-22T18:30:17Z"]},{"key":"dc:date.issued","label":"Date","values":["1999"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Electrical Engineering and Computer Science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1721.1/9456"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.","Includes bibliographical references (leaf 102)."]},{"key":"dc:description.abstract","label":"Abstract","values":["A service provider who provides users access· to a communication network is constrained in the system by the limited amount of bandwidth that can be offered to users. We will discuss congestion-dependent pricing, a method of pricing connection access to the network that accounts for this bandwidth constraint. Different models for the system are analyzed and simulated. The case of multiple classes of users as well as the case of a probabilistic demand function are analyzed in detail. The dynamic congestion-dependent pricing policy that maximizes performance will be determined using dynamic programming. The steady state revenue generated for the service provider will be used as the measure of system performance. Additionally, approximation and estimation techniques to simplify analysis and implementation of different systems are analyzed."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.B.and M.Eng."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Congestion-dependent pricing for a service provider"]}]}],"canonical_facts":{"dc:contributor.advisor":["John N. Tsitsiklis."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science"],"dc:creator":["Bharti, Piyush, 1976-"],"dc:date.accessioned":["2005-08-22T18:30:17Z"],"dc:date.available":["2005-08-22T18:30:17Z"],"dc:date.issued":["1999"],"dc:description":["Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.","Includes bibliographical references (leaf 102)."],"dc:description.abstract":["A service provider who provides users access· to a communication network is constrained in the system by the limited amount of bandwidth that can be offered to users. We will discuss congestion-dependent pricing, a method of pricing connection access to the network that accounts for this bandwidth constraint. Different models for the system are analyzed and simulated. The case of multiple classes of users as well as the case of a probabilistic demand function are analyzed in detail. The dynamic congestion-dependent pricing policy that maximizes performance will be determined using dynamic programming. The steady state revenue generated for the service provider will be used as the measure of system performance. Additionally, approximation and estimation techniques to simplify analysis and implementation of different systems are analyzed."],"dc:description.degree":["S.B.and M.Eng."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["http://hdl.handle.net/1721.1/9456"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Electrical Engineering and Computer Science"],"dc:title":["Congestion-dependent pricing for a service provider"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:20:44Z"}