{"id":"https://openalex.org/W3206128350","doi":"https://doi.org/10.1145/3484266.3487390","title":"Towards a Cost vs. Quality Sweet Spot for Monitoring Networks","display_name":"Towards a Cost vs. Quality Sweet Spot for Monitoring Networks","publication_year":2021,"publication_date":"2021-11-04","ids":{"openalex":"https://openalex.org/W3206128350","doi":"https://doi.org/10.1145/3484266.3487390","mag":"3206128350"},"language":"en","primary_location":{"id":"doi:10.1145/3484266.3487390","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3484266.3487390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twentieth ACM Workshop on Hot Topics in Networks","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2110.05554","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053563229","display_name":"Nofel Yaseen","orcid":"https://orcid.org/0000-0002-3141-1692"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nofel Yaseen","raw_affiliation_strings":["Microsoft and University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"Microsoft and University of Pennsylvania","institution_ids":["https://openalex.org/I36788626","https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067060974","display_name":"Behnaz Arzani","orcid":"https://orcid.org/0000-0003-2234-3250"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Behnaz Arzani","raw_affiliation_strings":["Microsoft","(Microsoft)"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"(Microsoft)","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054714302","display_name":"Krishna Chintalapudi","orcid":"https://orcid.org/0000-0003-1368-3130"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Krishna Chintalapudi","raw_affiliation_strings":["Microsoft","(Microsoft)"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"(Microsoft)","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041927641","display_name":"Vaishnavi Ranganathan","orcid":"https://orcid.org/0000-0002-2757-3365"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vaishnavi Ranganathan","raw_affiliation_strings":["Microsoft","(Microsoft)"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"(Microsoft)","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049915877","display_name":"Felipe Vieira Frujeri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Felipe Frujeri","raw_affiliation_strings":["Microsoft","(Microsoft)"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"(Microsoft)","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047153810","display_name":"Kevin Hsieh","orcid":"https://orcid.org/0000-0003-4154-4525"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kevin Hsieh","raw_affiliation_strings":["Microsoft","(Microsoft)"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"(Microsoft)","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063512602","display_name":"Daniel S. Berger","orcid":"https://orcid.org/0000-0002-3911-1512"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel S. Berger","raw_affiliation_strings":["Microsoft","(Microsoft)"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"(Microsoft)","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358904","display_name":"Vincent Liu","orcid":"https://orcid.org/0000-0003-1987-9521"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vincent Liu","raw_affiliation_strings":["University of Pennsylvania","#N#               * University of Pennsylvania"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]},{"raw_affiliation_string":"#N#               * University of Pennsylvania","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023881736","display_name":"Srikanth Kandula","orcid":"https://orcid.org/0000-0001-9494-6435"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Srikanth Kandula","raw_affiliation_strings":["Microsoft","(Microsoft)"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"(Microsoft)","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5053563229"],"corresponding_institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I36788626"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17900636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"38","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9987000226974487,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9987000226974487,"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":0.9968000054359436,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9929999709129333,"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":0.7272331714630127},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6482369899749756},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.5985392928123474},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5561434626579285},{"id":"https://openalex.org/keywords/ask-price","display_name":"Ask price","score":0.5403871536254883},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5338512659072876},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46114876866340637},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46088337898254395},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4338655173778534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1959296464920044},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.07976076006889343},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.07424157857894897}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7272331714630127},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6482369899749756},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.5985392928123474},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5561434626579285},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.5403871536254883},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5338512659072876},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46114876866340637},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46088337898254395},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4338655173778534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1959296464920044},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.07976076006889343},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.07424157857894897},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3484266.3487390","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3484266.3487390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twentieth ACM Workshop on Hot Topics in Networks","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2110.05554","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.05554","pdf_url":"https://arxiv.org/pdf/2110.05554","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2110.05554","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2110.05554","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:3206128350","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2110.05554","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.05554","pdf_url":"https://arxiv.org/pdf/2110.05554","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3206128350.pdf","grobid_xml":"https://content.openalex.org/works/W3206128350.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W40890042","https://openalex.org/W1552869711","https://openalex.org/W1576539718","https://openalex.org/W1675727887","https://openalex.org/W1970837734","https://openalex.org/W1990249073","https://openalex.org/W2009568739","https://openalex.org/W2061805175","https://openalex.org/W2112320294","https://openalex.org/W2125977806","https://openalex.org/W2148934434","https://openalex.org/W2159262496","https://openalex.org/W2162273161","https://openalex.org/W2168595508","https://openalex.org/W2293322640","https://openalex.org/W2403645878","https://openalex.org/W2501089562","https://openalex.org/W2530137915","https://openalex.org/W2585501424","https://openalex.org/W2625782120","https://openalex.org/W2769017812","https://openalex.org/W2769038759","https://openalex.org/W2783886687","https://openalex.org/W2865011744","https://openalex.org/W2887290261","https://openalex.org/W2919933302","https://openalex.org/W2991999319","https://openalex.org/W2995890383","https://openalex.org/W3009575808","https://openalex.org/W3115478688","https://openalex.org/W3156327398","https://openalex.org/W4248484754","https://openalex.org/W6774504548"],"related_works":["https://openalex.org/W3208584607","https://openalex.org/W1769629372","https://openalex.org/W3200980477","https://openalex.org/W2343041665","https://openalex.org/W1990012371","https://openalex.org/W1992713698","https://openalex.org/W2044140067","https://openalex.org/W3126033631","https://openalex.org/W6521790","https://openalex.org/W2188583941","https://openalex.org/W1482849335","https://openalex.org/W2282624149","https://openalex.org/W1632696659","https://openalex.org/W3106796450","https://openalex.org/W1977765121","https://openalex.org/W2580516969","https://openalex.org/W2182068959","https://openalex.org/W2949434945","https://openalex.org/W1538729101","https://openalex.org/W2189061291"],"abstract_inverted_index":{"Continuously":[0],"monitoring":[1],"a":[2,12,99],"wide":[3],"variety":[4],"of":[5,15,36,94],"performance":[6],"and":[7,39,47],"fault":[8],"metrics":[9],"has":[10],"become":[11],"crucial":[13],"part":[14],"operating":[16],"large-scale":[17],"datacenter":[18,101],"networks.":[19],"In":[20],"this":[21],"work,":[22],"we":[23,26,50,55,65,68],"ask":[24],"whether":[25],"can":[27,56,69],"reduce":[28],"the":[29,76],"costs":[30],"to":[31,79],"monitor":[32],"-":[33,41],"in":[34,116],"terms":[35],"collection,":[37],"storage":[38],"analysis":[40],"by":[42,91],"judiciously":[43],"controlling":[44],"how":[45],"much":[46],"which":[48],"measurements":[49],"collect.":[51],"By":[52],"positing":[53],"that":[54,67,86,108],"treat":[57],"almost":[58],"all":[59],"measured":[60],"signals":[61],"as":[62,75],"sampled":[63],"time-series,":[64],"show":[66,85],"use":[70],"signal":[71],"processing":[72],"techniques":[73,115],"such":[74],"Nyquist-Shannon":[77],"theorem":[78],"avoid":[80],"wasteful":[81],"data":[82],"collection.":[83],"We":[84,103],"large":[87],"savings":[88],"appear":[89],"possible":[90],"analyzing":[92],"tens":[93],"popular":[95],"measurement":[96],"systems":[97],"from":[98],"production":[100],"network.":[102],"also":[104],"discuss":[105],"some":[106],"challenges":[107],"must":[109],"be":[110],"solved":[111],"when":[112],"applying":[113],"these":[114],"practice.":[117]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}