{"id":"https://openalex.org/W2485466669","doi":"https://doi.org/10.1109/infocom.2016.7524600","title":"SAMPO: Online subflow association for multipath TCP with partial flow records","display_name":"SAMPO: Online subflow association for multipath TCP with partial flow records","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2485466669","doi":"https://doi.org/10.1109/infocom.2016.7524600","mag":"2485466669"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2016.7524600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2016.7524600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications","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/A5100354569","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0001-6777-3487"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077436101","display_name":"Hesham Mekky","orcid":null},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hesham Mekky","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100622097","display_name":"Zhi-Li Zhang","orcid":"https://orcid.org/0000-0001-8584-2319"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhi-Li Zhang","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604067","display_name":"Hao Fang","orcid":"https://orcid.org/0009-0009-5901-7003"},"institutions":[{"id":"https://openalex.org/I1322087612","display_name":"Alcatel Lucent (Germany)","ror":"https://ror.org/00c5mwp75","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322087612"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fang Hao","raw_affiliation_strings":["Bell Labs Alcatel-Lucent"],"affiliations":[{"raw_affiliation_string":"Bell Labs Alcatel-Lucent","institution_ids":["https://openalex.org/I1322087612"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109586958","display_name":"Sarit Mukherjee","orcid":"https://orcid.org/0000-0001-9871-4877"},"institutions":[{"id":"https://openalex.org/I1322087612","display_name":"Alcatel Lucent (Germany)","ror":"https://ror.org/00c5mwp75","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322087612"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sarit Mukherjee","raw_affiliation_strings":["Bell Labs Alcatel-Lucent"],"affiliations":[{"raw_affiliation_string":"Bell Labs Alcatel-Lucent","institution_ids":["https://openalex.org/I1322087612"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079816803","display_name":"T. V. Lakshman","orcid":null},"institutions":[{"id":"https://openalex.org/I1322087612","display_name":"Alcatel Lucent (Germany)","ror":"https://ror.org/00c5mwp75","country_code":"DE","type":"company","lineage":["https://openalex.org/I1322087612"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"T V Lakshman","raw_affiliation_strings":["Bell Labs Alcatel-Lucent"],"affiliations":[{"raw_affiliation_string":"Bell Labs Alcatel-Lucent","institution_ids":["https://openalex.org/I1322087612"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100354569"],"corresponding_institution_ids":["https://openalex.org/I2800403580"],"apc_list":null,"apc_paid":null,"fwci":1.7372,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86191354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T10138","display_name":"Network Traffic and Congestion Control","score":1.0,"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/T10138","display_name":"Network Traffic and Congestion Control","score":1.0,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9994999766349792,"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/multipath-tcp","display_name":"Multipath TCP","score":0.9378858804702759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8363326787948608},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.7313719987869263},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5469957590103149},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.4584393799304962},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4211944341659546},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.39912623167037964},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.31464871764183044},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13450634479522705},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.1002989411354065}],"concepts":[{"id":"https://openalex.org/C2779166880","wikidata":"https://www.wikidata.org/wiki/Q14947831","display_name":"Multipath TCP","level":4,"score":0.9378858804702759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8363326787948608},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.7313719987869263},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5469957590103149},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.4584393799304962},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4211944341659546},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39912623167037964},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.31464871764183044},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13450634479522705},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.1002989411354065},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2016.7524600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2016.7524600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1515106148","https://openalex.org/W1608999459","https://openalex.org/W1716229707","https://openalex.org/W1723171507","https://openalex.org/W1774511567","https://openalex.org/W1823805418","https://openalex.org/W2005830269","https://openalex.org/W2047381835","https://openalex.org/W2051619378","https://openalex.org/W2067655170","https://openalex.org/W2122208786","https://openalex.org/W2136850962","https://openalex.org/W2142480021","https://openalex.org/W2149815187","https://openalex.org/W2154100065","https://openalex.org/W2160409488","https://openalex.org/W2166580595","https://openalex.org/W2320725412","https://openalex.org/W3020993522","https://openalex.org/W3118033986","https://openalex.org/W3163303646","https://openalex.org/W4210907085","https://openalex.org/W4233762780","https://openalex.org/W6630750119","https://openalex.org/W6636558983","https://openalex.org/W6637360105","https://openalex.org/W6637696349","https://openalex.org/W6638246933","https://openalex.org/W6638386726","https://openalex.org/W6700333544"],"related_works":["https://openalex.org/W1900116260","https://openalex.org/W2286156580","https://openalex.org/W2125652721","https://openalex.org/W2965178788","https://openalex.org/W1540371141","https://openalex.org/W1824149665","https://openalex.org/W3180763927","https://openalex.org/W4389988679","https://openalex.org/W4386739603","https://openalex.org/W2531685183"],"abstract_inverted_index":{"Multipath":[0],"TCP":[1],"(MPTCP)":[2],"is":[3,75,120,167],"a":[4,96,129,180],"promising":[5],"technique":[6],"for":[7],"boosting":[8],"application":[9],"throughput":[10,58],"while":[11],"using":[12],"well-known":[13],"and":[14,32,111,124,145,161,171],"versatile":[15],"network":[16,53,125,130],"socket":[17],"interfaces.":[18],"Recently,":[19],"many":[20],"interesting":[21],"applications":[22],"of":[23,48,88,141,148,183],"MPTCP":[24,57,66,89,113,149,173],"in":[25,115,157],"various":[26],"environments":[27],"such":[28],"as":[29],"wireless":[30],"networks":[31],"data":[33,150],"centers":[34],"have":[35],"been":[36,42],"proposed,":[37],"but":[38,73],"little":[39],"work":[40],"has":[41],"done":[43],"to":[44,84,99,109,132,153,169],"investigate":[45],"the":[46,86,155,184],"impact":[47],"this":[49,74,92,101],"protocol":[50,143],"on":[51,70],"conventional":[52],"devices.":[54],"For":[55],"example,":[56],"advantage":[59,140],"can":[60],"be":[61],"better":[62],"achieved":[63],"if":[64],"all":[65],"subflows":[67,114,174],"are":[68,81,188],"routed":[69],"disjoint":[71],"paths,":[72],"currently":[76],"not":[77,82],"feasible":[78],"since":[79],"routers":[80],"designed":[83],"recognize":[85],"membership":[87],"subflows.":[90],"In":[91],"paper,":[93],"we":[94,163],"take":[95],"first":[97],"step":[98],"address":[100],"issue":[102],"by":[103],"proposing":[104],"SAMPO,":[105],"an":[106],"online":[107],"algorithm":[108],"detect":[110,170],"associate":[112,172],"network.":[116,158],"The":[117],"main":[118],"challenge":[119,156],"that":[121,165],"sampling":[122],"techniques":[123],"dynamics":[126],"may":[127],"cause":[128],"device":[131],"only":[133],"obtain":[134],"partial":[135],"flow":[136,186],"records.":[137],"SAMPO":[138,166],"takes":[139],"both":[142],"information":[144],"statistical":[146],"characteristics":[147],"sequence":[151],"number":[152],"overcome":[154],"Through":[159],"analysis":[160],"experimentation,":[162],"show":[164],"able":[168],"with":[175],"high":[176],"accuracy":[177],"even":[178],"when":[179],"small":[181],"portion":[182],"entire":[185],"records":[187],"available.":[189]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
