{"id":"https://openalex.org/W2755920299","doi":"https://doi.org/10.1109/icccn.2017.8038381","title":"AutoPath: Harnessing Parallel Execution Paths for Efficient Resource Allocation in Multi-Stage Big Data Frameworks","display_name":"AutoPath: Harnessing Parallel Execution Paths for Efficient Resource Allocation in Multi-Stage Big Data Frameworks","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2755920299","doi":"https://doi.org/10.1109/icccn.2017.8038381","mag":"2755920299"},"language":"en","primary_location":{"id":"doi:10.1109/icccn.2017.8038381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2017.8038381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 26th International Conference on Computer Communication and Networks (ICCCN)","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/A5100644401","display_name":"Han Gao","orcid":"https://orcid.org/0000-0003-2399-5007"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Han Gao","raw_affiliation_strings":["Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066967694","display_name":"Zhengyu Yang","orcid":"https://orcid.org/0000-0002-9822-5843"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengyu Yang","raw_affiliation_strings":["Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011474644","display_name":"Janki Bhimani","orcid":"https://orcid.org/0000-0001-7284-1464"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Janki Bhimani","raw_affiliation_strings":["Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348945","display_name":"Teng Wang","orcid":"https://orcid.org/0000-0002-5992-3403"},"institutions":[{"id":"https://openalex.org/I33434090","display_name":"University of Massachusetts Boston","ror":"https://ror.org/04ydmy275","country_code":"US","type":"education","lineage":["https://openalex.org/I33434090"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Teng Wang","raw_affiliation_strings":["Dept. of Computer Science, University of Massachusetts Boston, Boston, MA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Massachusetts Boston, Boston, MA","institution_ids":["https://openalex.org/I33434090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101584767","display_name":"Jiayin Wang","orcid":"https://orcid.org/0000-0001-5103-6132"},"institutions":[{"id":"https://openalex.org/I33434090","display_name":"University of Massachusetts Boston","ror":"https://ror.org/04ydmy275","country_code":"US","type":"education","lineage":["https://openalex.org/I33434090"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiayin Wang","raw_affiliation_strings":["Dept. of Computer Science, University of Massachusetts Boston, Boston, MA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Massachusetts Boston, Boston, MA","institution_ids":["https://openalex.org/I33434090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085815921","display_name":"Bo Sheng","orcid":"https://orcid.org/0000-0001-5958-8935"},"institutions":[{"id":"https://openalex.org/I33434090","display_name":"University of Massachusetts Boston","ror":"https://ror.org/04ydmy275","country_code":"US","type":"education","lineage":["https://openalex.org/I33434090"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Sheng","raw_affiliation_strings":["Dept. of Computer Science, University of Massachusetts Boston, Boston, MA"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Massachusetts Boston, Boston, MA","institution_ids":["https://openalex.org/I33434090"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091825452","display_name":"Ningfang Mi","orcid":"https://orcid.org/0009-0005-0934-1287"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ningfang Mi","raw_affiliation_strings":["Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100644401"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":14.0252,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.98798552,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9977999925613403,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.8554401397705078},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6961675882339478},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6956008076667786},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6885939836502075},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.6721264123916626},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6488581895828247},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.5411173701286316},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.505891740322113},{"id":"https://openalex.org/keywords/fifo","display_name":"FIFO (computing and electronics)","score":0.5046359300613403},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4842936396598816},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12690401077270508},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12043195962905884},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.10619550943374634},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.08398205041885376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8554401397705078},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6961675882339478},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6956008076667786},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6885939836502075},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.6721264123916626},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6488581895828247},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.5411173701286316},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.505891740322113},{"id":"https://openalex.org/C2777145635","wikidata":"https://www.wikidata.org/wiki/Q515636","display_name":"FIFO (computing and electronics)","level":2,"score":0.5046359300613403},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4842936396598816},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12690401077270508},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12043195962905884},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.10619550943374634},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.08398205041885376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccn.2017.8038381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2017.8038381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 26th International Conference on Computer Communication and Networks (ICCCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1488422606","https://openalex.org/W1508297467","https://openalex.org/W1641749581","https://openalex.org/W1992928432","https://openalex.org/W2002472616","https://openalex.org/W2020694540","https://openalex.org/W2021394452","https://openalex.org/W2022678927","https://openalex.org/W2027974552","https://openalex.org/W2041958520","https://openalex.org/W2096125134","https://openalex.org/W2122465391","https://openalex.org/W2127144731","https://openalex.org/W2149294210","https://openalex.org/W2189465200","https://openalex.org/W2291671219","https://openalex.org/W2330382877","https://openalex.org/W2572817543","https://openalex.org/W2572898255","https://openalex.org/W2573911191","https://openalex.org/W2574887402","https://openalex.org/W2577865769","https://openalex.org/W2578649947","https://openalex.org/W2584184801","https://openalex.org/W2603429743","https://openalex.org/W2964136035","https://openalex.org/W3010052030","https://openalex.org/W4252209735","https://openalex.org/W6687322159","https://openalex.org/W6702046045","https://openalex.org/W6960476255"],"related_works":["https://openalex.org/W986318368","https://openalex.org/W2000785801","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2990194547","https://openalex.org/W2004734601","https://openalex.org/W2139640506","https://openalex.org/W2964427520","https://openalex.org/W2617209884","https://openalex.org/W2017378253"],"abstract_inverted_index":{"Due":[0],"to":[1,18,24,68,121,127,218],"the":[2,16,20,39,53,64,129,155,167,177,185,208,219],"flexibility":[3],"of":[4,9,132,158,161],"data":[5,72],"operations":[6],"and":[7,33,47,58,70,98,165,170,192,210,222],"scalability":[8],"in-":[10],"memory":[11],"cache,":[12],"Spark":[13,44,190],"has":[14,81],"revealed":[15],"potential":[17],"become":[19],"standard":[21],"distributed":[22],"framework":[23],"replace":[25],"Hadoop":[26],"for":[27,52,214],"data-intensive":[28],"processing":[29],"in":[30,43,61,125,189],"both":[31],"industry":[32],"academia.":[34],"However,":[35],"we":[36,108,143],"observe":[37],"that":[38,202],"built-in":[40],"scheduling":[41,147,187],"algorithms":[42],"(i.e.,":[45],"FIFO":[46,221],"FAIR)":[48],"are":[49],"not":[50],"optimized":[51],"applications":[54,162],"with":[55,91,195],"multiple":[56],"parallel":[57,168],"independent":[59],"branches":[60,116],"stages.":[62],"Specifically,":[63],"child":[65],"stage":[66,96],"needs":[67],"wait":[69,80],"collect":[71],"from":[73],"all":[74,115],"its":[75],"parent":[76],"branches,":[77],"but":[78],"this":[79,106],"no":[82],"guaranteed":[83],"upper":[84],"bound":[85],"since":[86],"it":[87,194],"is":[88],"tightly":[89],"coupled":[90],"each":[92,133],"branch's":[93],"workload":[94,123,179],"characteristic,":[95],"order,":[97],"their":[99,122],"corresponding":[100],"allocated":[101],"computing":[102,173],"resource.":[103],"To":[104],"address":[105],"challenge,":[107],"investigate":[109],"a":[110,145],"superior":[111],"solution":[112],"which":[113,151],"ensures":[114],"acquire":[117],"suitable":[118],"resources":[119,174],"according":[120],"demand":[124],"order":[126],"let":[128],"finish":[130],"time":[131],"branch":[134],"be":[135],"as":[136,138],"close":[137],"possible.":[139],"Based":[140],"on":[141,176],"this,":[142],"propose":[144],"novel":[146],"policy,":[148],"named":[149],"AutoPath,":[150],"can":[152],"effectively":[153,206],"reduce":[154],"overall":[156],"makespan":[157,209],"such":[159],"kind":[160],"by":[163],"detecting":[164],"leveraging":[166],"path,":[169],"adaptively":[171],"assigning":[172],"based":[175],"estimated":[178],"demands":[180],"during":[181],"runtime.":[182],"We":[183],"implemented":[184],"new":[186,204],"scheme":[188],"v1.5.0":[191],"evaluated":[193],"selected":[196],"representative":[197],"workloads.":[198],"The":[199],"experiments":[200],"demonstrate":[201],"our":[203],"scheduler":[205],"reduces":[207],"improves":[211],"resource":[212],"utilizations":[213],"these":[215],"applications,":[216],"compared":[217],"current":[220],"FAIR":[223],"schedulers.":[224]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":13}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
