{"id":"https://openalex.org/W4206017793","doi":"https://doi.org/10.1109/idsta53674.2021.9660803","title":"Hybrid Dynamic Scheduling of MapReduce and Spark Services Based on the Profit Model in the Cloud Computing Platform","display_name":"Hybrid Dynamic Scheduling of MapReduce and Spark Services Based on the Profit Model in the Cloud Computing Platform","publication_year":2021,"publication_date":"2021-11-15","ids":{"openalex":"https://openalex.org/W4206017793","doi":"https://doi.org/10.1109/idsta53674.2021.9660803"},"language":"en","primary_location":{"id":"doi:10.1109/idsta53674.2021.9660803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idsta53674.2021.9660803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Second International Conference on Intelligent Data Science Technologies and Applications (IDSTA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103216360","display_name":"Jing Hu","orcid":"https://orcid.org/0000-0001-7937-1530"},"institutions":[{"id":"https://openalex.org/I119868032","display_name":"Shanxi Agricultural University","ror":"https://ror.org/05e9f5362","country_code":"CN","type":"education","lineage":["https://openalex.org/I119868032"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Hu","raw_affiliation_strings":["Shanxi Agricultural University,School of Software,Jinzhong,China","School of Software, Shanxi Agricultural University, Jinzhong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Agricultural University,School of Software,Jinzhong,China","institution_ids":["https://openalex.org/I119868032"]},{"raw_affiliation_string":"School of Software, Shanxi Agricultural University, Jinzhong, China","institution_ids":["https://openalex.org/I119868032"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103216360"],"corresponding_institution_ids":["https://openalex.org/I119868032"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"114","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9994999766349792,"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":0.9994999766349792,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9958999752998352,"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/T13553","display_name":"Age of Information Optimization","score":0.949999988079071,"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":0.8169165849685669},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7831299304962158},{"id":"https://openalex.org/keywords/service-provider","display_name":"Service provider","score":0.6888113021850586},{"id":"https://openalex.org/keywords/profit-maximization","display_name":"Profit maximization","score":0.6583737134933472},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5667099356651306},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5544478297233582},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5455701351165771},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.5324211120605469},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.25961828231811523},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.22968164086341858},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.12311294674873352}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8169165849685669},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7831299304962158},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.6888113021850586},{"id":"https://openalex.org/C2777780509","wikidata":"https://www.wikidata.org/wiki/Q1377422","display_name":"Profit maximization","level":3,"score":0.6583737134933472},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5667099356651306},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5544478297233582},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5455701351165771},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.5324211120605469},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.25961828231811523},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.22968164086341858},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.12311294674873352},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/idsta53674.2021.9660803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idsta53674.2021.9660803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Second International Conference on Intelligent Data Science Technologies and Applications (IDSTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328120","display_name":"Shanxi Agricultural University","ror":"https://ror.org/05e9f5362"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W17864305","https://openalex.org/W2087942896","https://openalex.org/W2107001003","https://openalex.org/W2408601068","https://openalex.org/W2411685960","https://openalex.org/W2497069692","https://openalex.org/W2755270217","https://openalex.org/W2778143478","https://openalex.org/W2912810692","https://openalex.org/W2915335383","https://openalex.org/W2971081864","https://openalex.org/W2996625414","https://openalex.org/W2999598026","https://openalex.org/W3109087783","https://openalex.org/W3158456262","https://openalex.org/W3174227040","https://openalex.org/W3189702920","https://openalex.org/W6600737987","https://openalex.org/W6772376355"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2385623918","https://openalex.org/W2276063697","https://openalex.org/W4224290992"],"abstract_inverted_index":{"The":[0,33],"big":[1,24],"data":[2,25],"technology":[3,26],"has":[4],"been":[5],"efficient":[6],"in":[7,182,194],"carrying":[8],"out":[9],"analysis":[10],"and":[11,48,85,105,118,133,164,192,204],"processing":[12],"of":[13,35,89,123,171,190,196],"massive":[14],"data.":[15],"Many":[16],"service":[17,46,62,68,103,152,197,202],"providers":[18,104],"build":[19],"cloud":[20,91],"platforms":[21],"based":[22],"on":[23],"to":[27,53,70,93],"provide":[28],"users":[29,41],"with":[30,116,176],"computational":[31],"requirements.":[32],"goal":[34],"this":[36,108,183],"paper":[37,127,184],"is":[38],"to,":[39],"targeting":[40,139],"who":[42,49],"are":[43],"uncertain":[44],"about":[45],"deadlines":[47,81],"have":[50],"urgent":[51],"needs":[52],"complete":[54],"their":[55],"services,":[56],"develop":[57],"an":[58],"efficient,":[59],"two-type,":[60],"offline":[61],"scheduling":[63],"strategy":[64],"that":[65],"enables":[66],"the":[67,75,83,87,90,131,144,156,199],"provider":[69],"achieve":[71],"maximum":[72],"profit,":[73],"at":[74],"same":[76],"time":[77],"determines":[78],"relatively":[79],"exact":[80],"for":[82,201],"user,":[84],"empowers":[86],"resource":[88,206],"platform":[92,205],"reach":[94],"optimum":[95],"utilization":[96],"rate,":[97],"thus":[98],"realizing":[99],"mutual":[100],"benefit":[101],"between":[102],"users.":[106],"In":[107],"paper,":[109],"we":[110],"first":[111],"propose":[112],"a":[113,121,168,186],"Profit":[114,140],"Model":[115],"reward":[117],"penalty,":[119],"as":[120,153,155],"criterion":[122],"profit":[124,200],"maximization.":[125],"This":[126],"then":[128],"put":[129,180],"forward":[130,181],"MapReduce":[132,151,163],"Spark":[134,165],"services":[135],"hybrid":[136],"scheduler":[137],"(MRSHS)":[138],"Model,":[141],"which":[142],"contains":[143],"determining":[145],"Round":[146],"Number":[147],"(MRN)":[148],"algorithm":[149,161],"facing":[150,162],"well":[154],"Hybrid":[157],"Dynamic":[158],"Scheduling":[159],"(HDS)":[160],"services.":[166],"Finally,":[167],"large":[169],"number":[170],"experiments":[172],"prove":[173],"that,":[174],"compared":[175],"existing":[177],"schedulers,":[178],"MRSHS":[179],"reaches":[185],"fairly":[187],"high":[188],"level":[189],"efficiency":[191],"availability":[193],"terms":[195],"performance,":[198],"providers,":[203],"utilization.":[207]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}