{"id":"https://openalex.org/W2145104432","doi":"https://doi.org/10.1145/1658939.1658977","title":"On effectively exploiting multiple wireless interfaces in mobile hosts","display_name":"On effectively exploiting multiple wireless interfaces in mobile hosts","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2145104432","doi":"https://doi.org/10.1145/1658939.1658977","mag":"2145104432"},"language":"en","primary_location":{"id":"doi:10.1145/1658939.1658977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1658939.1658977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th international conference on Emerging networking experiments and technologies","raw_type":"proceedings-article"},"type":"conference-paper","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/A5105296080","display_name":"Cheng-Lin Tsao","orcid":null},"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":"Cheng-Lin Tsao","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103908603","display_name":"Raghupathy Sivakumar","orcid":null},"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":"Raghupathy Sivakumar","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"337","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12238","display_name":"Green IT and Sustainability","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12238","display_name":"Green IT and Sustainability","score":0.9998000264167786,"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"}},{"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.8545471429824829},{"id":"https://openalex.org/keywords/laptop","display_name":"Laptop","score":0.6763988733291626},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6108237504959106},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.6054983735084534},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5828748345375061},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4748378396034241},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.46290361881256104},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.4499472379684448},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.42645806074142456},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.420324444770813},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.41647863388061523},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3983248472213745},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09439769387245178},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08502376079559326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07482624053955078},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07363852858543396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8545471429824829},{"id":"https://openalex.org/C2780008327","wikidata":"https://www.wikidata.org/wiki/Q3962","display_name":"Laptop","level":2,"score":0.6763988733291626},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6108237504959106},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.6054983735084534},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5828748345375061},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4748378396034241},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.46290361881256104},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.4499472379684448},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.42645806074142456},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.420324444770813},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.41647863388061523},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3983248472213745},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09439769387245178},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08502376079559326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07482624053955078},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07363852858543396}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1658939.1658977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1658939.1658977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th international conference on Emerging networking experiments and technologies","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.644.4257","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.4257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://conferences.sigcomm.org/co-next/2009/papers/Tsao.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W192498908","https://openalex.org/W1520420247","https://openalex.org/W1524735217","https://openalex.org/W1590810061","https://openalex.org/W1963766033","https://openalex.org/W1967251626","https://openalex.org/W2008793926","https://openalex.org/W2010144738","https://openalex.org/W2045897251","https://openalex.org/W2098949415","https://openalex.org/W2103723804","https://openalex.org/W2106048836","https://openalex.org/W2137100301","https://openalex.org/W2139899539","https://openalex.org/W2139954814","https://openalex.org/W2146546625","https://openalex.org/W2161955777","https://openalex.org/W2165152511","https://openalex.org/W2532475208","https://openalex.org/W2701092808","https://openalex.org/W3005830558"],"related_works":["https://openalex.org/W4249908574","https://openalex.org/W1563106474","https://openalex.org/W2157102353","https://openalex.org/W2048100608","https://openalex.org/W2090296580","https://openalex.org/W1576249345","https://openalex.org/W4243905374","https://openalex.org/W2785815065","https://openalex.org/W1796074903","https://openalex.org/W4245955065"],"abstract_inverted_index":{"Most":[0],"mobile":[1,33,129],"devices":[2],"today":[3],"are":[4],"equipped":[5],"with":[6],"multiple":[7,28,63,90],"and":[8,93,125,131],"heterogeneous":[9],"wireless":[10],"interfaces.":[11],"In":[12,44],"this":[13],"paper":[14],"we":[15,48],"ask":[16],"the":[17,22,27,38,42,46,62,89,95,107,115,126,133],"following":[18],"question:":[19],"what":[20],"is":[21,71,97,104],"best":[23],"approach":[24],"to":[25,41,99,136],"leverage":[26],"interfaces":[29,64,91,116],"available":[30],"at":[31],"a":[32,81,101,123],"device":[34],"in":[35,73,86,94,143],"terms":[36],"of":[37,83,109,114],"performance":[39,102,139],"delivered":[40],"user?":[43],"answering":[45],"question":[47],"argue":[49],"that":[50,85,103],"simple":[51],"\"bandwidth":[52],"aggregation\"":[53],"approaches":[54],"do":[55],"not":[56],"provide":[57],"any":[58],"meaningful":[59],"benefits":[60],"when":[61],"used":[65],"have":[66],"highly":[67],"disparate":[68],"bandwidths":[69],"as":[70],"true":[72],"many":[74],"practical":[75],"environments.":[76],"We":[77,118],"then":[78],"present":[79],"super-aggregation,":[80],"set":[82],"mechanisms":[84],"tandem":[87],"use":[88],"intelligently":[92],"process":[96],"able":[98],"achieve":[100],"\"better":[105],"than":[106],"sum":[108],"throughputs\"":[110],"achievable":[111],"through":[112],"each":[113],"individually.":[117],"prototype":[119],"super-aggregation":[120],"on":[121],"both":[122],"laptop":[124],"Google":[127],"Android":[128],"phone":[130],"demonstrate":[132],"significant":[134],"(up":[135],"3x":[137],"throughput)":[138],"improvements":[140],"it":[141],"provides":[142],"real-world":[144],"experiments.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":10}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
