{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T00:48:51Z","timestamp":1777682931421,"version":"3.51.4"},"reference-count":0,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[1994,1,1]],"date-time":"1994-01-01T00:00:00Z","timestamp":757382400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of High Speed Networks"],"published-print":{"date-parts":[[1994,2]]},"abstract":"<jats:p>We present an approximate analysis of a queue with a dynamically changing input rate that is based on implicit or explicit feedback information. This is motivated by proposals for adaptive congestion control algorithms, [6] and [15], where the sender's window size at the transport level is adjusted based on perceived congestion level of a bottleneck node. We develop an analysis methodology for a simplified system; however, it is powerful enough to answer important questions regarding stability, convergence (or oscillations), fairness and the significant effect that delayed feedback plays on performance.<\/jats:p>\n                  <jats:p>This paper quantitatively identifies the cause of the these effects, vis-a-vis the system parameters and properties of the algorithm used. Several conservation laws and balance equations governing this system are given.<\/jats:p>\n                  <jats:p>The model is fairly general and can be applied to evaluate the performance of a wide range of feedback control schemes. It is an extension of the classical Fokker-Planck equation. Because the Fokker-Planck equation models diffusion, it addresses traffic variability, and in a sense, extends earlier fluid approximation analyses.<\/jats:p>","DOI":"10.3233\/jhs-1994-3102","type":"journal-article","created":{"date-parts":[[2019,12,3]],"date-time":"2019-12-03T09:49:24Z","timestamp":1575366564000},"page":"31-56","source":"Crossref","is-referenced-by-count":2,"title":["Analysis of Dynamic Congestion Control Protocols \u2014 A Fokker\u2013Planck Approximation"],"prefix":"10.1177","volume":"3","author":[{"given":"Amamath","family":"Mukherjee","sequence":"first","affiliation":[{"name":"College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA, Tel: +1 404 853 9376"}]},{"given":"John C.","family":"Strikwerda","sequence":"additional","affiliation":[{"name":"Department of Computer Sciences, University of Wisconsin \u2013 Madison, Madison, WI 53706, USA"}]}],"member":"179","published-online":{"date-parts":[[1994,1,1]]},"container-title":["Journal of High Speed Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JHS-1994-3102","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JHS-1994-3102","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T08:44:30Z","timestamp":1777452270000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JHS-1994-3102"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1994,1,1]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[1994,2]]}},"alternative-id":["10.3233\/JHS-1994-3102"],"URL":"https:\/\/doi.org\/10.3233\/jhs-1994-3102","relation":{},"ISSN":["0926-6801","1875-8940"],"issn-type":[{"value":"0926-6801","type":"print"},{"value":"1875-8940","type":"electronic"}],"subject":[],"published":{"date-parts":[[1994,1,1]]}}}