{"id":"https://openalex.org/W1975769195","doi":"https://doi.org/10.1145/2668930.2688055","title":"IoTAbench","display_name":"IoTAbench","publication_year":2015,"publication_date":"2015-01-12","ids":{"openalex":"https://openalex.org/W1975769195","doi":"https://doi.org/10.1145/2668930.2688055","mag":"1975769195"},"language":"en","primary_location":{"id":"doi:10.1145/2668930.2688055","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2668930.2688055","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2668930.2688055?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/2668930.2688055?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019465031","display_name":"Martin Arlitt","orcid":"https://orcid.org/0000-0001-6167-2255"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Martin Arlitt","raw_affiliation_strings":["HP Labs, Palo Alto, CA, USA","HP Labs, Palo ALto, CA, USA"],"affiliations":[{"raw_affiliation_string":"HP Labs, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]},{"raw_affiliation_string":"HP Labs, Palo ALto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110271214","display_name":"Manish Marwah","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manish Marwah","raw_affiliation_strings":["HP Labs, Palo Alto, CA, USA","HP Labs, Palo ALto, CA, USA"],"affiliations":[{"raw_affiliation_string":"HP Labs, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]},{"raw_affiliation_string":"HP Labs, Palo ALto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051650485","display_name":"Gowtham Bellala","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gowtham Bellala","raw_affiliation_strings":["HP Labs, Palo Alto, CA, USA","HP Labs, Palo ALto, CA, USA"],"affiliations":[{"raw_affiliation_string":"HP Labs, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]},{"raw_affiliation_string":"HP Labs, Palo ALto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110119275","display_name":"Amip Shah","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amip Shah","raw_affiliation_strings":["HP Labs, Palo Alto, CA, USA","HP Labs, Palo ALto, CA, USA"],"affiliations":[{"raw_affiliation_string":"HP Labs, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]},{"raw_affiliation_string":"HP Labs, Palo ALto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010703194","display_name":"Jeff S. Healey","orcid":"https://orcid.org/0000-0003-1216-7580"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeff Healey","raw_affiliation_strings":["HP Vertica, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"HP Vertica, Cambridge, MA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011963362","display_name":"Ben Vandiver","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ben Vandiver","raw_affiliation_strings":["HP Vertica, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"HP Vertica, Cambridge, MA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5019465031"],"corresponding_institution_ids":["https://openalex.org/I1324840837"],"apc_list":null,"apc_paid":null,"fwci":11.1947,"has_fulltext":true,"cited_by_count":67,"citation_normalized_percentile":{"value":0.98535788,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.998199999332428,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.998199999332428,"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":0.9966999888420105,"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/T12127","display_name":"Software System Performance and Reliability","score":0.989799976348877,"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":0.802068829536438},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7123041152954102},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6308885812759399},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5909645557403564},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4853733777999878},{"id":"https://openalex.org/keywords/smart-meter","display_name":"Smart meter","score":0.4783708155155182},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4311137795448303},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.42105239629745483},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2832264304161072},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23569458723068237},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.15078112483024597},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10292232036590576}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.802068829536438},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7123041152954102},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6308885812759399},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5909645557403564},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4853733777999878},{"id":"https://openalex.org/C2779510800","wikidata":"https://www.wikidata.org/wiki/Q1630602","display_name":"Smart meter","level":3,"score":0.4783708155155182},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4311137795448303},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42105239629745483},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2832264304161072},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23569458723068237},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.15078112483024597},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10292232036590576},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2668930.2688055","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2668930.2688055","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2668930.2688055?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2668930.2688055","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2668930.2688055","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2668930.2688055?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1975769195.pdf","grobid_xml":"https://content.openalex.org/works/W1975769195.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1967601791","https://openalex.org/W1972115340","https://openalex.org/W1977650120","https://openalex.org/W1979756627","https://openalex.org/W1980458754","https://openalex.org/W1985229168","https://openalex.org/W1988958619","https://openalex.org/W2003580796","https://openalex.org/W2006296837","https://openalex.org/W2020463726","https://openalex.org/W2041185225","https://openalex.org/W2052312648","https://openalex.org/W2053135018","https://openalex.org/W2079309933","https://openalex.org/W2088718602","https://openalex.org/W2090330503","https://openalex.org/W2092954093","https://openalex.org/W2093537476","https://openalex.org/W2112278680","https://openalex.org/W2114303224","https://openalex.org/W2115583184","https://openalex.org/W2123866731","https://openalex.org/W2131492297","https://openalex.org/W2139072600","https://openalex.org/W2148199553","https://openalex.org/W4238681028","https://openalex.org/W6647706687"],"related_works":["https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417","https://openalex.org/W2218513093","https://openalex.org/W3083788988"],"abstract_inverted_index":{"The":[0,119,131],"commoditization":[1],"of":[2,11,133,155,173],"sensors":[3],"and":[4,17,126,148],"communication":[5],"networks":[6],"is":[7,51,135],"enabling":[8],"vast":[9],"quantities":[10],"data":[12,147,174],"to":[13,33,86,136,140],"be":[14,83],"generated":[15],"by":[16],"collected":[18],"from":[19,30],"cyber-physical":[20],"systems.":[21],"This":[22,63,76],"``Internet-of-Things\"":[23],"(IoT)":[24],"makes":[25],"possible":[26],"new":[27],"business":[28],"opportunities,":[29],"usage-based":[31],"insurance":[32],"proactive":[34],"equipment":[35],"maintenance.":[36],"While":[37],"many":[38],"technology":[39],"vendors":[40],"now":[41],"offer":[42],"``Big":[43],"Data\"":[44],"solutions,":[45],"a":[46,66,92,104,158],"challenge":[47],"for":[48,59,71],"potential":[49],"customers":[50],"understanding":[52],"quantitatively":[53],"how":[54],"these":[55],"solutions":[56],"will":[57],"work":[58],"IoT":[60,72,88],"use":[61,89,107,120],"cases.":[62],"paper":[64],"describes":[65],"benchmark":[67,102],"toolkit":[68],"called":[69],"IoTAbench":[70,134,156],"Big":[73],"Data":[74],"scenarios.":[75],"toolset":[77],"facilitates":[78],"repeatable":[79],"testing":[80],"that":[81],"can":[82],"easily":[84],"extended":[85],"multiple":[87],"cases,":[90],"including":[91],"user's":[93],"specific":[94],"needs,":[95],"interests":[96],"or":[97],"dataset.":[98],"We":[99,151],"demonstrate":[100],"the":[101,114,138,153],"via":[103,157],"smart":[105,167],"metering":[106],"case":[108,121],"involving":[109],"an":[110],"eight-node":[111,177],"cluster":[112],"running":[113],"HP":[115],"Vertica":[116],"analytics":[117,149],"platform.":[118],"involves":[122],"generating,":[123],"loading,":[124],"repairing":[125],"analyzing":[127],"synthetic":[128],"meter":[129,168],"readings.":[130],"intent":[132],"provide":[137],"means":[139],"perform":[141],"``apples-to-apples\"":[142],"comparisons":[143],"between":[144],"different":[145],"sensor":[146],"platforms.":[150],"illustrate":[152],"capabilities":[154],"large":[159],"experimental":[160],"study,":[161],"where":[162],"we":[163],"store":[164],"22.8":[165],"trillion":[166],"readings":[169],"totaling":[170],"727":[171],"TB":[172],"in":[175],"our":[176],"cluster.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2016-06-24T00:00:00"}
