{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T14:39:30Z","timestamp":1775054370118,"version":"3.50.1"},"reference-count":0,"publisher":"Association for Computing Machinery (ACM)","issue":"5","license":[{"start":{"date-parts":[[2017,10,1]],"date-time":"2017-10-01T00:00:00Z","timestamp":1506816000000},"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":["Queue"],"published-print":{"date-parts":[[2017,10]]},"abstract":"<jats:p>This installment of Research for Practice features a curated selection from Malte Schwarzkopf, who takes us on a tour of distributed cluster scheduling, from research to practice, and back again. With the rise of elastic compute resources, cluster management has become an increasingly hot topic in systems R&amp;D, and a number of competing cluster managers including Kubernetes, Mesos, and Docker are currently jockeying for the crown in this space.<\/jats:p>","DOI":"10.1145\/3155112.3173558","type":"journal-article","created":{"date-parts":[[2018,2,13]],"date-time":"2018-02-13T15:40:40Z","timestamp":1518536440000},"page":"78-89","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Cluster Scheduling for Data Centers"],"prefix":"10.1145","volume":"15","author":[{"given":"Malte","family":"Schwarzkopf","sequence":"first","affiliation":[{"name":"MIT"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,10]]},"container-title":["Queue"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3155112.3173558","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3155112.3173558","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:30:28Z","timestamp":1750217428000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3155112.3173558"}},"subtitle":["Expert-curated Guides to the Best of CS Research: Distributed Cluster Scheduling"],"short-title":[],"issued":{"date-parts":[[2017,10]]},"references-count":0,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2017,10]]}},"alternative-id":["10.1145\/3155112.3173558"],"URL":"https:\/\/doi.org\/10.1145\/3155112.3173558","relation":{},"ISSN":["1542-7730","1542-7749"],"issn-type":[{"value":"1542-7730","type":"print"},{"value":"1542-7749","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10]]},"assertion":[{"value":"2017-10-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}