{"id":"https://openalex.org/W1988523874","doi":"https://doi.org/10.1145/2744210.2744212","title":"Sparkle","display_name":"Sparkle","publication_year":2015,"publication_date":"2015-04-13","ids":{"openalex":"https://openalex.org/W1988523874","doi":"https://doi.org/10.1145/2744210.2744212","mag":"1988523874"},"language":"en","primary_location":{"id":"doi:10.1145/2744210.2744212","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2744210.2744212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Workshop on Cloud Data and Platforms","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100301227","display_name":"Chunliang Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunliang Hao","raw_affiliation_strings":["Chinese Academy of Science, Beijing, China and University of Chinese Academy of Science, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Science, Beijing, China and University of Chinese Academy of Science, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101405147","display_name":"Jie Shen","orcid":"https://orcid.org/0000-0002-6722-2754"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jie Shen","raw_affiliation_strings":["Imperial College London, London, UK","#N#Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"#N#Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100758382","display_name":"Heng Zhang","orcid":"https://orcid.org/0000-0001-6597-6520"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Zhang","raw_affiliation_strings":["Chinese Academy of Science, Beijing, China and University of Chinese Academy of Science, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Science, Beijing, China and University of Chinese Academy of Science, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698342","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0002-6854-8561"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["Chinese Academy of Science, Beijing, China and University of Chinese Academy of Science, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Science, Beijing, China and University of Chinese Academy of Science, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101053493","display_name":"Yanjun Wu","orcid":"https://orcid.org/0000-0002-1823-0459"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjun Wu","raw_affiliation_strings":["Chinese Academy of Science, Beijing, China","[Chinese Academy of Science, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Science, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"[Chinese Academy of Science, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091468980","display_name":"Mingshu Li","orcid":"https://orcid.org/0000-0002-5129-6097"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingshu Li","raw_affiliation_strings":["Chinese Academy of Science, Beijing, China","[Chinese Academy of Science, Beijing, China]"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Science, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"[Chinese Academy of Science, Beijing, China]","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100301227"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":2.3838,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.90766364,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7989962100982666},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7613742351531982},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.750644326210022},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.7075383067131042},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.612369179725647},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6117247343063354},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.44861075282096863},{"id":"https://openalex.org/keywords/fair-share-scheduling","display_name":"Fair-share scheduling","score":0.4475041627883911},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1624690294265747},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.15613442659378052},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1333041787147522},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.10162514448165894},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.08150675892829895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989962100982666},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7613742351531982},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.750644326210022},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.7075383067131042},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.612369179725647},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6117247343063354},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.44861075282096863},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.4475041627883911},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1624690294265747},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.15613442659378052},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1333041787147522},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.10162514448165894},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.08150675892829895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2744210.2744212","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2744210.2744212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Workshop on Cloud Data and Platforms","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1458108873","https://openalex.org/W1861377444","https://openalex.org/W2044372531","https://openalex.org/W2096125134","https://openalex.org/W2102849319","https://openalex.org/W2105947650","https://openalex.org/W2117702591","https://openalex.org/W2120422789","https://openalex.org/W2129542763","https://openalex.org/W2131801993","https://openalex.org/W2138783391","https://openalex.org/W2140486418","https://openalex.org/W2163961697","https://openalex.org/W2336006182","https://openalex.org/W4231139262"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W2011430815","https://openalex.org/W2895982276","https://openalex.org/W2039885954","https://openalex.org/W4321606653"],"abstract_inverted_index":{"Traditional":[0],"centralised":[1],"scheduling":[2,19,59,127],"has":[3],"becoming":[4,31],"unsuitable":[5],"to":[6,25,63,80,100],"analytics":[7],"clusters":[8],"with":[9],"ever":[10],"growing":[11],"workload.":[12],"As":[13],"a":[14,77,101,135],"promising":[15],"alternative,":[16],"sample":[17,57],"based":[18,58],"is":[20,61,96,116],"highly":[21],"scalable":[22],"and,":[23],"due":[24],"its":[26],"decentralised":[27,142],"nature,":[28],"immune":[29],"from":[30],"potential":[32],"system":[33,111],"bottleneck.":[34],"However,":[35],"the":[36,52,55,67,89,124],"existing":[37],"design":[38],"could":[39,131],"only":[40],"function":[41],"well":[42],"in":[43,88,141],"very":[44],"specific":[45],"application":[46],"scenarios.":[47,106],"Specifically,":[48],"we":[49,75],"argue":[50],"that":[51],"performance":[53,115],"of":[54,98,105,108],"baseline":[56],"method":[60,79,87],"sensitive":[62],"workload":[64],"heterogeneity":[65],"and":[66,92,122],"cluster's":[68],"individual":[69],"worker":[70],"strength.":[71],"In":[72],"this":[73],"work,":[74],"propose":[76],"novel":[78],"reduce":[81],"these":[82],"sensitivities.":[83],"We":[84],"implement":[85],"our":[86,94],"Sparkle":[90],"scheduler":[91,95],"demonstrate":[93],"capable":[97],"adapting":[99],"much":[102],"wider":[103],"range":[104],"Instead":[107],"introducing":[109],"extra":[110],"costs,":[112],"Sparkle's":[113],"improved":[114],"gained":[117],"by":[118],"cutting":[119],"unnecessary":[120],"wastes":[121],"reducing":[123],"number":[125],"sub-optimal":[126],"decisions.":[128],"Hence":[129],"it":[130],"also":[132],"serve":[133],"as":[134],"foundation":[136],"model":[137],"for":[138],"further":[139],"studies":[140],"scheduling.":[143]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}