{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T12:12:20Z","timestamp":1696248740998},"reference-count":37,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2012,6,22]],"date-time":"2012-06-22T00:00:00Z","timestamp":1340323200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["WIREs Data Min &amp; Knowl"],"published-print":{"date-parts":[[2012,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Scheduling in computational grids addresses the allocation of computing jobs to globally distributed compute resources. In a frequently changing resource environment, scheduling decisions have to be made rapidly. Depending on both the job properties and the current state of the resources, those decisions are different. Thus, the performance of grid scheduling systems highly depends on their adaptivity and flexibility in changing environments. Under these conditions, methods from knowledge discovery yielded significant success to augment and substitute conventional grid scheduling techniques. This paper presents a survey on approaches to extract, represent, and utilize knowledge to improve the grid scheduling performance. It aims to give researchers insight into techniques used for knowledge\u2010supported scheduling in large\u2010scale distributed computing environments. \u00a9 2012 Wiley Periodicals, Inc.<\/jats:p><jats:p>This article is categorized under:\n<jats:list list-type=\"explicit-label\">\n<jats:list-item><jats:p>Application Areas &gt; Science and Technology<\/jats:p><\/jats:list-item>\n<jats:list-item><jats:p>Technologies &gt; Machine Learning<\/jats:p><\/jats:list-item>\n<jats:list-item><jats:p>Technologies &gt; Prediction<\/jats:p><\/jats:list-item>\n<\/jats:list><\/jats:p>","DOI":"10.1002\/widm.1060","type":"journal-article","created":{"date-parts":[[2012,6,22]],"date-time":"2012-06-22T23:06:23Z","timestamp":1340406383000},"page":"287-297","source":"Crossref","is-referenced-by-count":1,"title":["Knowledge discovery for scheduling in computational grids"],"prefix":"10.1002","volume":"2","author":[{"given":"Alexander","family":"F\u00f6lling","sequence":"first","affiliation":[]},{"given":"Joachim","family":"Lepping","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2012,6,22]]},"reference":[{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-155860759-0\/50002-0"},{"key":"e_1_2_9_3_2","volume-title":"Evolution and Optimum Seeking","author":"Schwefel H\u2010P","year":"1995"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1142\/4177"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1002\/9780470512517"},{"key":"e_1_2_9_6_2","volume-title":"The Grid: Blueprint for a New Computing Infrastructure","author":"Foster I","year":"2003"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-2361-4"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/129888.129890"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74430-6_3"},{"key":"e_1_2_9_10_2","volume-title":"Parallel and Distributed Computation: Numerical Methods","author":"Bertsekas DP","year":"1997"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1002\/0470867167"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-69277-5"},{"key":"e_1_2_9_13_2","first-page":"1053","article-title":"Genetic algorithm based schedulers for grid computing systems","volume":"3","author":"Xhafa F","year":"2007","journal-title":"Int J Innov Comput Inf Control"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2006.04.009"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/GEFS.2010.5454159"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71618-1_67"},{"key":"e_1_2_9_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/11577188_2"},{"key":"e_1_2_9_18_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74573-0_55"},{"key":"e_1_2_9_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2010.2062525"},{"key":"e_1_2_9_20_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-010-0660-5"},{"key":"e_1_2_9_21_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04633-9_2"},{"key":"e_1_2_9_22_2","doi-asserted-by":"publisher","DOI":"10.1162\/evco.2009.17.4.17406"},{"key":"e_1_2_9_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2010.16"},{"key":"e_1_2_9_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/NAS.2009.17"},{"key":"e_1_2_9_25_2","doi-asserted-by":"publisher","DOI":"10.7763\/IJCTE.2009.V1.3"},{"key":"e_1_2_9_26_2","doi-asserted-by":"publisher","DOI":"10.1007\/11893004_65"},{"key":"e_1_2_9_27_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-6191-0"},{"key":"e_1_2_9_28_2","volume-title":"Knowledge Representation","author":"Markman AB","year":"1998"},{"key":"e_1_2_9_29_2","doi-asserted-by":"publisher","DOI":"10.1049\/piee.1974.0328"},{"key":"e_1_2_9_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1985.6313399"},{"key":"e_1_2_9_31_2","doi-asserted-by":"publisher","DOI":"10.1007\/b107408"},{"key":"e_1_2_9_32_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10951-010-0206-9"},{"key":"e_1_2_9_33_2","unstructured":"SmithSF.A Learning System Based on Genetic Adaptive Algorithms. PhD thesis. Pittsburgh PA: Department of Computer Science University of Pittsburgh;1980."},{"key":"e_1_2_9_34_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4613-1365-6_12"},{"key":"e_1_2_9_35_2","volume-title":"Handbook on Scheduling: From Theory to Applications","author":"Blazewicz J","year":"2007"},{"key":"e_1_2_9_36_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24804-0"},{"key":"e_1_2_9_37_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-008-0491-2"},{"key":"e_1_2_9_38_2","volume-title":"Scheduling algorithm development based on complex owner defined objectives","author":"Ernemann C","year":"2005"}],"container-title":["WIREs Data Mining and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fwidm.1060","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fwidm.1060","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/widm.1060","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/widm.1060","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/wires.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/widm.1060","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T08:26:58Z","timestamp":1693556818000},"score":1,"resource":{"primary":{"URL":"https:\/\/wires.onlinelibrary.wiley.com\/doi\/10.1002\/widm.1060"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,6,22]]},"references-count":37,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2012,7]]}},"alternative-id":["10.1002\/widm.1060"],"URL":"https:\/\/doi.org\/10.1002\/widm.1060","archive":["Portico"],"relation":{},"ISSN":["1942-4787","1942-4795"],"issn-type":[{"value":"1942-4787","type":"print"},{"value":"1942-4795","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,6,22]]}}}