{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:35:18Z","timestamp":1750307718756,"version":"3.41.0"},"reference-count":5,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2009,10,16]],"date-time":"2009-10-16T00:00:00Z","timestamp":1255651200000},"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":["SIGMETRICS Perform. Eval. Rev."],"published-print":{"date-parts":[[2009,10,16]]},"abstract":"<jats:p>We consider a single server queue with renewal arrivals and i.i.d. service times, in which the server employs the Shortest Remaining Processing Time (SRPT) policy. We provide a fluid model (or formal law of large numbers approximation) for this system. The foremost payoff of our fluid model is a fluid level approximation for the state-dependent response time of a job of arbitrary size, that is, the amount of time it spends in the system, given an arbitrary system configuration at the time of its arrival.<\/jats:p>","DOI":"10.1145\/1639562.1639593","type":"journal-article","created":{"date-parts":[[2009,10,27]],"date-time":"2009-10-27T13:28:14Z","timestamp":1256650094000},"page":"75-76","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["State-dependent response times via fluid limits in shortest remaining processing time queues"],"prefix":"10.1145","volume":"37","author":[{"given":"Douglas G.","family":"Down","sequence":"first","affiliation":[{"name":"McMaster University"}]},{"given":"H. Christian","family":"Gromoll","sequence":"additional","affiliation":[{"name":"University of Virginia"}]},{"given":"Amber L.","family":"Puha","sequence":"additional","affiliation":[{"name":"California State University, San Marcos"}]}],"member":"320","published-online":{"date-parts":[[2009,10,16]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/378420.378792"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1287\/moor.1090.0409"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1070.0504"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.16.3.687"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1287\/opre.14.4.670"}],"container-title":["ACM SIGMETRICS Performance Evaluation Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1639562.1639593","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1639562.1639593","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T13:30:27Z","timestamp":1750253427000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1639562.1639593"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,10,16]]},"references-count":5,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2009,10,16]]}},"alternative-id":["10.1145\/1639562.1639593"],"URL":"https:\/\/doi.org\/10.1145\/1639562.1639593","relation":{},"ISSN":["0163-5999"],"issn-type":[{"type":"print","value":"0163-5999"}],"subject":[],"published":{"date-parts":[[2009,10,16]]},"assertion":[{"value":"2009-10-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}