{"id":"https://openalex.org/W2896875057","doi":"https://doi.org/10.1145/3277893.3277896","title":"A Unified Cross-entropy Based Task Scheduling Algorithm for Heterogeneous Fog Networks","display_name":"A Unified Cross-entropy Based Task Scheduling Algorithm for Heterogeneous Fog Networks","publication_year":2018,"publication_date":"2018-10-11","ids":{"openalex":"https://openalex.org/W2896875057","doi":"https://doi.org/10.1145/3277893.3277896","mag":"2896875057"},"language":"en","primary_location":{"id":"doi:10.1145/3277893.3277896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3277893.3277896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Workshop on Smart Cities and Fog Computing","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/A5017137213","display_name":"Zening Liu","orcid":"https://orcid.org/0000-0002-3390-4976"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zening Liu","raw_affiliation_strings":["ShanghaiTech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397725","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0003-0608-9408"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["ShanghaiTech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041985028","display_name":"Ming\u2010Tuo Zhou","orcid":"https://orcid.org/0000-0002-1952-5574"},"institutions":[{"id":"https://openalex.org/I4210147322","display_name":"Shanghai Institute of Microsystem and Information Technology","ror":"https://ror.org/04nytyj38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210147322"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming-Tuo Zhou","raw_affiliation_strings":["SIMIT, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"SIMIT, Shanghai, China","institution_ids":["https://openalex.org/I4210147322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056308805","display_name":"Ziqin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqin Li","raw_affiliation_strings":["ShanghaiTech University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017137213"],"corresponding_institution_ids":["https://openalex.org/I30809798"],"apc_list":null,"apc_paid":null,"fwci":1.2917,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82866302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"65","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9998999834060669,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.996399998664856,"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/T12079","display_name":"IoT Networks and Protocols","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8361507058143616},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6214383840560913},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5590746998786926},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.556998074054718},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5245333313941956},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4802182614803314},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4702025055885315},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.4562855660915375},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4412539601325989},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4310099184513092},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36744850873947144},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3465242385864258},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.2771742641925812},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2579798996448517},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16076555848121643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12815898656845093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8361507058143616},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6214383840560913},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5590746998786926},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.556998074054718},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5245333313941956},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4802182614803314},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4702025055885315},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.4562855660915375},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4412539601325989},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4310099184513092},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36744850873947144},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3465242385864258},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.2771742641925812},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2579798996448517},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16076555848121643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12815898656845093},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3277893.3277896","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3277893.3277896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Workshop on Smart Cities and Fog Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W155952036","https://openalex.org/W1573452661","https://openalex.org/W2114623221","https://openalex.org/W2150516182","https://openalex.org/W2195423816","https://openalex.org/W2238499080","https://openalex.org/W2472333518","https://openalex.org/W2481050413","https://openalex.org/W2566935729","https://openalex.org/W2608659040","https://openalex.org/W2734909543","https://openalex.org/W2741784930","https://openalex.org/W2763925543","https://openalex.org/W2766713695","https://openalex.org/W2799026114","https://openalex.org/W2950071675","https://openalex.org/W2963198024"],"related_works":["https://openalex.org/W2323516465","https://openalex.org/W4238615239","https://openalex.org/W2063960996","https://openalex.org/W2085045797","https://openalex.org/W2170179501","https://openalex.org/W1998565590","https://openalex.org/W2061423566","https://openalex.org/W1480110329","https://openalex.org/W4249413607","https://openalex.org/W2994927414"],"abstract_inverted_index":{"Fog":[0],"computing,":[1,30],"which":[2,145],"shifts":[3],"functions":[4],"of":[5,25,40,49],"clouds":[6],"to":[7,32,45],"the":[8,12,23,47,104,132],"network":[9],"edge":[10],"along":[11],"cloud-to-things":[13],"continuum,":[14],"has":[15],"risen":[16],"as":[17,52,89],"a":[18,38,59,84,90,112,119,142],"promising":[19],"architecture":[20],"for":[21],"realizing":[22],"vision":[24],"smart":[26],"city.":[27],"In":[28,62],"fog":[29,42,77],"how":[31],"efficiently":[33],"map":[34],"computation":[35],"tasks":[36],"into":[37],"variety":[39],"heterogeneous":[41],"nodes":[43],"(FNs)":[44],"improve":[46],"quality":[48],"service,":[50],"such":[51,83],"low":[53],"latency":[54],"and":[55,117,121],"energy":[56],"consumption,":[57],"is":[58],"fundamental":[60],"challenge.":[61],"this":[63,67,101],"paper,":[64],"we":[65,99],"investigate":[66],"task":[68,125],"scheduling":[69,126],"problem":[70,85,94,102],"in":[71,141],"general":[72],"multiuser":[73],"multi-FN":[74],"hetero-":[75],"geneous":[76],"networks.":[78],"We":[79],"first":[80],"show":[81],"that":[82,131],"can":[86,137],"be":[87],"formulated":[88],"typical":[91],"combinational":[92],"optimization":[93],"with":[95,111],"different":[96],"objectives.":[97],"Then,":[98],"study":[100],"utilizing":[103],"cross-entropy":[105],"(CE)":[106],"method":[107],"through":[108],"associating":[109],"it":[110],"rare":[113],"event":[114],"estimation":[115],"problem,":[116],"propose":[118],"unified":[120],"efficient":[122],"CE":[123,134],"based":[124,135],"algorithm.":[127],"Simulation":[128],"results":[129],"demonstrate":[130],"proposed":[133],"algorithm":[136],"achieve":[138],"near-optimal":[139],"performance":[140],"fast":[143],"manner,":[144],"much":[146],"outperforms":[147],"other":[148],"baseline":[149],"solutions":[150]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}