{"id":"https://openalex.org/W2052011325","doi":"https://doi.org/10.1145/1993744.1993793","title":"Scalable monitoring via threshold compression in a large operational 3G network","display_name":"Scalable monitoring via threshold compression in a large operational 3G network","publication_year":2011,"publication_date":"2011-06-07","ids":{"openalex":"https://openalex.org/W2052011325","doi":"https://doi.org/10.1145/1993744.1993793","mag":"2052011325"},"language":"en","primary_location":{"id":"doi:10.1145/1993744.1993793","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1993744.1993793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems","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/A5064594868","display_name":"Suk-Bok Lee","orcid":"https://orcid.org/0000-0002-1855-4111"},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"funder","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Suk-Bok Lee","raw_affiliation_strings":["UCLA, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"UCLA, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I2799798094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046419834","display_name":"Dan Pei","orcid":"https://orcid.org/0000-0002-5113-838X"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Pei","raw_affiliation_strings":["AT&T Labs -- Research, Florham Park, NJ, USA","AT&T Labs---Research, Florham Park, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"AT&T Labs -- Research, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Labs---Research, Florham Park, NJ, USA#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111876448","display_name":"MohammadTaghi Hajiaghayi","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MohammadTaghi Hajiaghayi","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015023891","display_name":"Ioannis Pefkianakis","orcid":null},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"funder","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ioannis Pefkianakis","raw_affiliation_strings":["UCLA, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"UCLA, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I2799798094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020188879","display_name":"Songwu Lu","orcid":"https://orcid.org/0000-0003-3779-0918"},"institutions":[{"id":"https://openalex.org/I2799798094","display_name":"UCLA Health","ror":"https://ror.org/01d88se56","country_code":"US","type":"funder","lineage":["https://openalex.org/I2799798094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Songwu Lu","raw_affiliation_strings":["UCLA, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"UCLA, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I2799798094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102791255","display_name":"He Yan","orcid":"https://orcid.org/0009-0001-9990-9358"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"He Yan","raw_affiliation_strings":["Colorado State University, Fort Collins, USA",", Colorado State University, Fort Collins, USA"],"affiliations":[{"raw_affiliation_string":"Colorado State University, Fort Collins, USA","institution_ids":["https://openalex.org/I92446798"]},{"raw_affiliation_string":", Colorado State University, Fort Collins, USA","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076892155","display_name":"Zihui Ge","orcid":"https://orcid.org/0000-0003-0114-7584"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zihui Ge","raw_affiliation_strings":["AT&T Labs -- Research, Florham Park, NJ, USA","AT&T Labs---Research, Florham Park, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"AT&T Labs -- Research, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Labs---Research, Florham Park, NJ, USA#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077473264","display_name":"Jennifer Yates","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer Yates","raw_affiliation_strings":["AT&T Labs -- Research, Florham Park, NJ, USA","AT&T Labs---Research, Florham Park, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"AT&T Labs -- Research, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Labs---Research, Florham Park, NJ, USA#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059014983","display_name":"Mario Kosseifi","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mario Kosseifi","raw_affiliation_strings":["AT&T Mobility Services, ALPHARETTA, GA, USA","AT&T Mobility Services, ALPHARETTA, GA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"AT&T Mobility Services, ALPHARETTA, GA, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Mobility Services, ALPHARETTA, GA, USA#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5064594868"],"corresponding_institution_ids":["https://openalex.org/I2799798094"],"apc_list":null,"apc_paid":null,"fwci":0.3654,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64222707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9962999820709229,"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":0.9962999820709229,"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/T12238","display_name":"Green IT and Sustainability","score":0.9955999851226807,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9930999875068665,"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/scalability","display_name":"Scalability","score":0.8080285787582397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7615416049957275},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5454890727996826},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5242905020713806},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5178478360176086},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.44285932183265686},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4370652437210083},{"id":"https://openalex.org/keywords/detection-threshold","display_name":"Detection threshold","score":0.425375372171402},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.41937369108200073},{"id":"https://openalex.org/keywords/threshold-model","display_name":"Threshold model","score":0.4180568754673004},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33534425497055054},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23590388894081116},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2186516523361206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1600152850151062},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09121859073638916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07879969477653503}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8080285787582397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7615416049957275},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5454890727996826},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5242905020713806},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5178478360176086},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.44285932183265686},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4370652437210083},{"id":"https://openalex.org/C3019361169","wikidata":"https://www.wikidata.org/wiki/Q2609467","display_name":"Detection threshold","level":2,"score":0.425375372171402},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.41937369108200073},{"id":"https://openalex.org/C202632270","wikidata":"https://www.wikidata.org/wiki/Q7798106","display_name":"Threshold model","level":2,"score":0.4180568754673004},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33534425497055054},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23590388894081116},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2186516523361206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1600152850151062},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09121859073638916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07879969477653503},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1993744.1993793","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1993744.1993793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.412.8061","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.412.8061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-math.mit.edu/~hajiagha/sigmetrics.pdf","raw_type":"text"},{"id":"pmh:oai:repository.hanyang.ac.kr:20.500.11754/90224","is_oa":false,"landing_page_url":"https://dl.acm.org/citation.cfm?doid=1993744.1993793","pdf_url":null,"source":{"id":"https://openalex.org/S4306401328","display_name":"The Royal Society of Chemistry\u2019s Journals, Books and Databases (The Royal Society of Chemistry)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2751430930","host_organization_name":"Royal Society of Chemistry","host_organization_lineage":["https://openalex.org/I2751430930"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2108301529"],"related_works":["https://openalex.org/W2132580384","https://openalex.org/W2398999115","https://openalex.org/W2612632602","https://openalex.org/W2800532167","https://openalex.org/W2321805087","https://openalex.org/W2365232520","https://openalex.org/W2609745707","https://openalex.org/W2307168495","https://openalex.org/W2003835194","https://openalex.org/W2908433781"],"abstract_inverted_index":{"Threshold-based":[0],"performance":[1],"monitoring":[2,47],"in":[3,19],"large":[4,14],"3G":[5,100],"networks":[6],"is":[7,65],"very":[8],"challenging":[9],"for":[10],"two":[11],"main":[12,60],"factors:":[13],"network":[15,70,101],"scale":[16],"and":[17,22,36,78,85],"dynamics":[18],"both":[20],"time":[21,79],"spatial":[23],"domains.":[24],"There":[25],"exists":[26],"a":[27,45,98],"fundamental":[28],"tradeoff":[29,54],"between":[30],"the":[31,37,53,87,92,104],"size":[32],"of":[33,69,106],"threshold":[34,57,74,111],"settings":[35],"alarm":[38],"quality.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"propose":[44],"scalable":[46],"solution,":[48,109],"called":[49],"threshold-compression":[50,108],"that":[51],"characterizes":[52],"via":[55],"intelligent":[56],"aggregation.":[58],"The":[59],"insight":[61],"behind":[62],"our":[63,107],"solution":[64],"to":[66,115],"identify":[67],"groups":[68],"elements":[71],"with":[72],"similar":[73],"behaviors":[75],"across":[76],"location":[77],"dimensions,":[80],"thus":[81],"forming":[82],"spatial-temporal":[83],"clusters":[84],"generating":[86],"associated":[88],"compressed":[89],"thresholds":[90],"within":[91,117],"optimization":[93],"framework.":[94],"Our":[95],"evaluations":[96],"on":[97],"commercial":[99],"have":[102],"demonstrated":[103],"effectiveness":[105],"e.g.,":[110],"setting":[112],"reduction":[113],"up":[114],"90%":[116],"10%":[118],"false/miss":[119],"alarms.":[120]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}