{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:46:51Z","timestamp":1775069211437,"version":"3.50.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Parallel Distrib. Syst."],"published-print":{"date-parts":[[2022,7,1]]},"DOI":"10.1109\/tpds.2021.3124670","type":"journal-article","created":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T20:57:13Z","timestamp":1635886633000},"page":"1695-1710","source":"Crossref","is-referenced-by-count":110,"title":["Performance and Cost-Efficient Spark Job Scheduling Based on Deep Reinforcement Learning in Cloud Computing Environments"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4922-7807","authenticated-orcid":false,"given":"Muhammed Tawfiqul","family":"Islam","sequence":"first","affiliation":[]},{"given":"Shanika","family":"Karunasekera","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9754-6496","authenticated-orcid":false,"given":"Rajkumar","family":"Buyya","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001419510108"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2019.00201"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737460"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.14778\/3199517.3199521"},{"key":"ref37","article-title":"Playing atari with deep reinforcement learning","author":"mnih","year":"2013"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2015.2466617"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.sorms.2012.08.001"},{"key":"ref34","first-page":"189","article-title":"Optimized placement of scalable IoT services in edge computing","author":"maia","year":"2019","journal-title":"Proc IFIP\/IEEE Symp on Integrated Network Management"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTER.2017.52"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2014.6835958"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid.2016.10"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.179"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-019-02947-9"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3005745.3005750"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3341302.3342080"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-010-0131-x"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/FiCloud.2019.00034"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2943193"},{"key":"ref19","first-page":"1","article-title":"Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters","volume":"33","author":"thamsen","year":"2020","journal-title":"Concurrency Comput"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.123"},{"key":"ref4","author":"george","year":"2011","journal-title":"HBase - The Definitive Guide Random Access to Your Planet-Size Data"},{"key":"ref27","first-page":"323","article-title":"Dominant resource fairness: Fair allocation of multiple resource types","author":"ghodsi","year":"2011","journal-title":"Proc 8th USENIX Conf Netw Syst Des Implementation"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSST.2010.5496972"},{"key":"ref6","article-title":"Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing","author":"zaharia","year":"2012","journal-title":"Proc 9th USENIX Conf Netw Syst Des Implementation"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2872674"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1773912.1773922"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2541940.2541941"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2517349.2522716"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2934664"},{"key":"ref9","first-page":"117","article-title":"Morpheus: Towards automated slos for enterprise clusters","author":"jyothi","year":"2016","journal-title":"Proc 12th USENIX Conf Operating Syst Des Implementation"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2523616.2523633"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/nature24270"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2019.1911732"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2018.2862380"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3127479.3131614"},{"key":"ref23","first-page":"295","article-title":"Mesos: A platform for fine-grained resource sharing in the data center","author":"hindman","year":"2011","journal-title":"Proc 8th USENIX Conf Netw Syst Des Implementation"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2020.1003177"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2019.2958979"}],"container-title":["IEEE Transactions on Parallel and Distributed Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/71\/9603995\/09599497.pdf?arnumber=9599497","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T17:55:55Z","timestamp":1649440555000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9599497\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,1]]},"references-count":40,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tpds.2021.3124670","relation":{},"ISSN":["1045-9219","1558-2183","2161-9883"],"issn-type":[{"value":"1045-9219","type":"print"},{"value":"1558-2183","type":"electronic"},{"value":"2161-9883","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,1]]}}}