{"id":"https://openalex.org/W2977148746","doi":"https://doi.org/10.1109/icccn.2019.8846932","title":"Probabilistic Partitioning for Edge Server Assignment with Time-Varying Workload","display_name":"Probabilistic Partitioning for Edge Server Assignment with Time-Varying Workload","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2977148746","doi":"https://doi.org/10.1109/icccn.2019.8846932","mag":"2977148746"},"language":"en","primary_location":{"id":"doi:10.1109/icccn.2019.8846932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2019.8846932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 28th 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/A5055534541","display_name":"Quynh Vo","orcid":null},"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":"Quynh Vo","raw_affiliation_strings":["Computer Science Department, University of Massachusetts, Boston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Massachusetts, Boston","institution_ids":["https://openalex.org/I33434090"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100641226","display_name":"Duc A. Tran","orcid":"https://orcid.org/0000-0001-8129-0940"},"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":"Duc A. Tran","raw_affiliation_strings":["Computer Science Department, University of Massachusetts, Boston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Massachusetts, Boston","institution_ids":["https://openalex.org/I33434090"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7438,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75094601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9994000196456909,"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":0.9994000196456909,"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/T11478","display_name":"Caching and Content Delivery","score":0.9991999864578247,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.8178772926330566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.797000527381897},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.7038260698318481},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6182610392570496},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5573211312294006},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.5345308780670166},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.530720591545105},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.44779232144355774},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4346182942390442},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42627447843551636},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3502905070781708},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3213564157485962},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.2614632844924927},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19177162647247314},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.16827258467674255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1468106210231781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08625820279121399}],"concepts":[{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.8178772926330566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.797000527381897},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.7038260698318481},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6182610392570496},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5573211312294006},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.5345308780670166},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.530720591545105},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.44779232144355774},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4346182942390442},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42627447843551636},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3502905070781708},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3213564157485962},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2614632844924927},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19177162647247314},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.16827258467674255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1468106210231781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08625820279121399},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccn.2019.8846932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn.2019.8846932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 28th International Conference on Computer Communication and Networks (ICCCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2135099885","https://openalex.org/W2151936673","https://openalex.org/W2216573267","https://openalex.org/W2401898190","https://openalex.org/W2576752910","https://openalex.org/W2608841173","https://openalex.org/W2624989916","https://openalex.org/W2735724187","https://openalex.org/W2740083192","https://openalex.org/W2743621882","https://openalex.org/W2745537382","https://openalex.org/W2765680238","https://openalex.org/W2766657463","https://openalex.org/W2884635165"],"related_works":["https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2004734601","https://openalex.org/W3154796165","https://openalex.org/W3139829055","https://openalex.org/W2583811263","https://openalex.org/W3211941742","https://openalex.org/W2035944803"],"abstract_inverted_index":{"As":[0],"mobile":[1],"devices":[2],"have":[3],"become":[4],"ubiquitous,":[5],"traffic":[6],"at":[7],"the":[8,11,27,43,58,61,82,85,88,112,115,119,141,144],"edge":[9,28,54],"of":[10,34,87,136,143,151],"network":[12,33],"is":[13,40,78,90,102,128,139],"growing":[14],"faster":[15],"than":[16],"ever.":[17],"To":[18],"improve":[19],"user":[20,44],"experience,":[21],"commodity":[22],"servers":[23],"are":[24],"deployed":[25],"in":[26,140],"to":[29,41,49,56,60,80,91,131],"form":[30],"a":[31,71,76,93,105,123,148,152],"distributed":[32],"mini":[35],"datacenters.":[36],"A":[37],"consequential":[38],"task":[39,66],"partition":[42,89],"cells":[45],"into":[46],"groups,":[47],"each":[48],"be":[50,68],"served":[51],"by":[52],"an":[53,160],"server,":[55],"maximize":[57],"offloading":[59],"edge.":[62],"Most":[63],"often":[64],"this":[65,137],"can":[67],"cast":[69],"as":[70,147],"graph":[72,77],"partitioning":[73,125],"problem,":[74],"where":[75,114],"used":[79],"represent":[81],"workload":[83,116,132,146],"and":[84],"goal":[86],"satisfy":[92],"given":[94],"objective,":[95],"for":[96,104],"example,":[97],"minimum":[98],"cut.":[99],"This":[100],"approach":[101],"effective":[103],"fixed":[106],"workload.":[107],"In":[108],"contrast,":[109],"we":[110],"address":[111],"case":[113],"changes":[117],"over":[118],"time.":[120],"We":[121,155],"propose":[122],"probabilistic":[124],"technique":[126,138],"that":[127],"more":[129],"robust":[130],"dynamics.":[133],"The":[134],"novelty":[135],"representation":[142],"time-varying":[145],"random":[149],"variable":[150],"probability":[153],"distribution.":[154],"evaluate":[156],"our":[157],"theory":[158],"with":[159],"evaluation":[161],"using":[162],"real-world":[163],"datasets.":[164]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
