{"id":"https://openalex.org/W2739744122","doi":"https://doi.org/10.1145/3098593.3098597","title":"o'zapft is","display_name":"o'zapft is","publication_year":2017,"publication_date":"2017-08-02","ids":{"openalex":"https://openalex.org/W2739744122","doi":"https://doi.org/10.1145/3098593.3098597","mag":"2739744122"},"language":"en","primary_location":{"id":"doi:10.1145/3098593.3098597","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3098593.3098597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Big Data Analytics and Machine Learning for Data Communication Networks","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/A5010345569","display_name":"Andreas Blenk","orcid":"https://orcid.org/0000-0002-2001-4050"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Blenk","raw_affiliation_strings":["Technical University of Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074851459","display_name":"Patrick Kalmbach","orcid":"https://orcid.org/0000-0003-3501-6996"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Kalmbach","raw_affiliation_strings":["Technical University of Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021781616","display_name":"Wolfgang Kellerer","orcid":"https://orcid.org/0000-0003-4358-8038"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Kellerer","raw_affiliation_strings":["Technical University of Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066080641","display_name":"Stefan Schmid","orcid":"https://orcid.org/0000-0002-7798-1711"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Stefan Schmid","raw_affiliation_strings":["Aalborg University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1742,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.94770108,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9993000030517578,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9993000030517578,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9922999739646912,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9890000224113464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46240144968032837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46240144968032837}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3098593.3098597","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3098593.3098597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Big Data Analytics and Machine Learning for Data Communication Networks","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/38424e80-ff6c-426f-91a5-af03e3eb3c3c","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/38424e80-ff6c-426f-91a5-af03e3eb3c3c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Blenk, A, Kalmbach, P, Kellerer, W & Schmid, S 2017, O'zapft is : Tap your network algorithm's big data! in Big-DAMA 2017 - Proceedings of the 2017 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, Part of SIGCOMM 2017. Association for Computing Machinery (ACM), pp. 19-24, 2017 ACM SIGCOMM Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, Big-DAMA 2017, Los Angeles, United States, 21/08/2017. https://doi.org/10.1145/3098593.3098597","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1481744301","https://openalex.org/W1571472016","https://openalex.org/W1816257748","https://openalex.org/W1830799964","https://openalex.org/W1988975763","https://openalex.org/W2038530381","https://openalex.org/W2091845854","https://openalex.org/W2101940264","https://openalex.org/W2114298221","https://openalex.org/W2118404561","https://openalex.org/W2132238781","https://openalex.org/W2157460365","https://openalex.org/W2165951927","https://openalex.org/W2226783037","https://openalex.org/W2492608700","https://openalex.org/W2546571074","https://openalex.org/W2563592268","https://openalex.org/W2577097471","https://openalex.org/W2808980893","https://openalex.org/W4238120498"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"At":[0],"the":[1,18,55,108,112,131,137,154,166],"heart":[2],"of":[3,116,139,156,168],"many":[4,79],"computer":[5,66],"network":[6,40,80,89,143,159],"planning,":[7],"deployment,":[8],"and":[9,31,97,123,148,175],"operational":[10],"tasks":[11],"lie":[12],"hard":[13,65],"algorithmic":[14],"problems.":[15],"Accordingly,":[16],"over":[17],"last":[19],"decades,":[20],"we":[21],"have":[22],"witnessed":[23],"a":[24,63,70,184],"continuous":[25],"pursuit":[26],"for":[27,86,110],"ever":[28],"more":[29],"accurate":[30],"faster":[32],"algorithms.":[33,49],"We":[34,106,135,151],"propose":[35],"an":[36,117],"approach":[37,51],"to":[38,61,94,121,142],"design":[39],"algorithms":[41,60,81,160],"which":[42],"is":[43,52],"radically":[44],"different":[45],"from":[46],"most":[47,58],"existing":[48,59],"Our":[50],"motivated":[53],"by":[54,129],"observation":[56],"that":[57],"solve":[62],"given":[64],"networking":[67],"problem":[68],"overlook":[69],"simple":[71],"yet":[72],"very":[73],"powerful":[74],"optimization":[75,173,181],"opportunity":[76],"in":[77,92,161],"practice:":[78],"are":[82],"executed":[83],"repeatedly":[84],"(e.g.,":[85],"each":[87,100],"virtual":[88,169],"request":[90],"or":[91],"reaction":[93],"user":[95],"mobility),":[96],"hence":[98],"with":[99],"execution,":[101],"generate":[102],"interesting":[103],"data:":[104],"(problem,solution)-pairs.":[105],"make":[107],"case":[109,163],"leveraging":[111],"potentially":[113],"big":[114],"data":[115],"algorithm's":[118,132],"past":[119],"executions":[120],"improve":[122],"speed":[124],"up":[125],"future,":[126],"similar":[127],"solutions,":[128],"reducing":[130],"search":[133],"space.":[134],"study":[136],"applicability":[138],"machine":[140,157],"learning":[141,158],"algorithm":[144],"design,":[145],"identify":[146],"challenges":[147],"discuss":[149],"limitations.":[150],"empirically":[152],"demonstrate":[153],"potential":[155],"two":[162],"studies,":[164],"namely":[165],"embedding":[167],"networks":[170],"(a":[171,179],"packing":[172],"problem)":[174],"k-center":[176],"facility":[177],"location":[178],"covering":[180],"problem),":[182],"using":[183],"prototype":[185],"implementation.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2017-08-08T00:00:00"}
