{"id":"https://openalex.org/W2141137338","doi":"https://doi.org/10.1109/robot.2009.5152509","title":"A probabilistic model for the performance analysis of a distributed task allocation algorithm","display_name":"A probabilistic model for the performance analysis of a distributed task allocation algorithm","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W2141137338","doi":"https://doi.org/10.1109/robot.2009.5152509","mag":"2141137338"},"language":"en","primary_location":{"id":"doi:10.1109/robot.2009.5152509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2009.5152509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://repository.gatech.edu/bitstreams/47e5d19d-7f4f-4aec-be44-9530ac86083d/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056465127","display_name":"Antidio Viguria","orcid":"https://orcid.org/0000-0003-4193-9965"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. Viguria","raw_affiliation_strings":["Human-Automation Systems Laboratory, Georgia Institute of Technology, Atlanta, USA","Human-Automation Systems Lab, Georgia Institute of Technology, 30332 Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Human-Automation Systems Laboratory, Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Human-Automation Systems Lab, Georgia Institute of Technology, 30332 Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038825611","display_name":"Ayanna Howard","orcid":"https://orcid.org/0000-0003-2609-9371"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A.M. Howard","raw_affiliation_strings":["Human-Automation Systems Laboratory School of Electrical And Computer Engineering, Georgia Institute of Technology, Atlanta, USA","Human-Automation Systems Lab, School of Electrical and Computer Engineering, Georgia Institute of Technology, 30332 Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Human-Automation Systems Laboratory School of Electrical And Computer Engineering, Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Human-Automation Systems Lab, School of Electrical and Computer Engineering, Georgia Institute of Technology, 30332 Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056465127"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.6857,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74187436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"3117","last_page":"3122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","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"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9988999962806702,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/variance","display_name":"Variance (accounting)","score":0.7553852796554565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6913624405860901},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6863732933998108},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.6683428883552551},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6528963446617126},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.637492835521698},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5258370637893677},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.49823594093322754},{"id":"https://openalex.org/keywords/probabilistic-analysis-of-algorithms","display_name":"Probabilistic analysis of algorithms","score":0.4439970850944519},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.41090795397758484},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41017359495162964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2308821678161621},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1976252794265747},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.16511571407318115}],"concepts":[{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.7553852796554565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6913624405860901},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6863732933998108},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.6683428883552551},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6528963446617126},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.637492835521698},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5258370637893677},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.49823594093322754},{"id":"https://openalex.org/C24404364","wikidata":"https://www.wikidata.org/wiki/Q7246846","display_name":"Probabilistic analysis of algorithms","level":3,"score":0.4439970850944519},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.41090795397758484},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41017359495162964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2308821678161621},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1976252794265747},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.16511571407318115},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/robot.2009.5152509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2009.5152509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"},{"id":"pmh:oai:smartech.gatech.edu:1853/38280","is_oa":true,"landing_page_url":"http://hdl.handle.net/1853/38280","pdf_url":"http://repository.gatech.edu/bitstreams/47e5d19d-7f4f-4aec-be44-9530ac86083d/download","source":{"id":"https://openalex.org/S4377196313","display_name":"SMARTech Repository (Georgia Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130701444","host_organization_name":"Georgia Institute of Technology","host_organization_lineage":["https://openalex.org/I130701444"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings"}],"best_oa_location":{"id":"pmh:oai:smartech.gatech.edu:1853/38280","is_oa":true,"landing_page_url":"http://hdl.handle.net/1853/38280","pdf_url":"http://repository.gatech.edu/bitstreams/47e5d19d-7f4f-4aec-be44-9530ac86083d/download","source":{"id":"https://openalex.org/S4377196313","display_name":"SMARTech Repository (Georgia Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130701444","host_organization_name":"Georgia Institute of Technology","host_organization_lineage":["https://openalex.org/I130701444"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Proceedings"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320320177","display_name":"US-UK Fulbright Commission","ror":"https://ror.org/037nbwt68"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2141137338.pdf","grobid_xml":"https://content.openalex.org/works/W2141137338.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2032382962","https://openalex.org/W2073795895","https://openalex.org/W2113257089","https://openalex.org/W2116581025","https://openalex.org/W2123862255","https://openalex.org/W2125626250","https://openalex.org/W2144827113","https://openalex.org/W2159517854","https://openalex.org/W2164125483","https://openalex.org/W2164687077","https://openalex.org/W2528023778","https://openalex.org/W6678823844","https://openalex.org/W6683146386","https://openalex.org/W6728235073"],"related_works":["https://openalex.org/W4387995274","https://openalex.org/W4390482521","https://openalex.org/W2009179299","https://openalex.org/W4245591796","https://openalex.org/W2125986699","https://openalex.org/W2303378850","https://openalex.org/W2210837322","https://openalex.org/W2121871011","https://openalex.org/W2034226907","https://openalex.org/W2161281242"],"abstract_inverted_index":{"In":[0,26],"this":[1,27],"paper":[2],"we":[3,29,56],"extend":[4],"our":[5,94],"previous":[6],"work":[7],"where":[8],"the":[9,12,36,39,51,61,73,85],"mean":[10,75],"of":[11,38,50],"global":[13,40,86],"cost":[14],"was":[15],"used":[16],"as":[17],"a":[18,31,47],"performance":[19],"metric":[20],"for":[21,83],"distributed":[22,52],"task":[23],"allocation":[24],"algorithms.":[25],"case,":[28],"move":[30],"step":[32],"forward":[33],"and":[34,76],"calculate":[35],"variance":[37],"cost.":[41,87],"This":[42,88],"second":[43],"parameter":[44],"gives":[45],"us":[46,91],"better":[48],"understanding":[49],"algorithm":[53,62,95],"performance,":[54],"i.e.,":[55],"can":[57],"estimate":[58],"how":[59],"much":[60],"behavior":[63],"diverts":[64],"from":[65,72],"its":[66],"mean.":[67],"The":[68],"normal":[69],"distribution,":[70],"computed":[71],"theoretical":[74],"variance,":[77],"is":[78],"shown":[79],"to":[80,92],"be":[81],"suitable":[82],"modeling":[84],"approximation":[89],"enables":[90],"compare":[93],"theoretically":[96],"in":[97],"different":[98],"cases.":[99]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}