{"id":"https://openalex.org/W2766248341","doi":"https://doi.org/10.1145/3125502.3125560","title":"Data analytics enables energy-efficiency and robustness","display_name":"Data analytics enables energy-efficiency and robustness","publication_year":2017,"publication_date":"2017-10-15","ids":{"openalex":"https://openalex.org/W2766248341","doi":"https://doi.org/10.1145/3125502.3125560","mag":"2766248341"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3125502.3125560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5018382547","display_name":"Sudeep Pasricha","orcid":"https://orcid.org/0000-0002-0846-0066"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"funder","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sudeep Pasricha","raw_affiliation_strings":["Colorado State University"],"affiliations":[{"raw_affiliation_string":"Colorado State University","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055445718","display_name":"Janardhan Rao Doppa","orcid":"https://orcid.org/0000-0002-3848-5301"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"funder","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Janardhan Rao Doppa","raw_affiliation_strings":["Washington State University"],"affiliations":[{"raw_affiliation_string":"Washington State University","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033880864","display_name":"Krishnendu Chakrabarty","orcid":"https://orcid.org/0000-0003-4475-6435"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"funder","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishnendu Chakrabarty","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085084417","display_name":"Saideep Tiku","orcid":"https://orcid.org/0000-0003-4017-1392"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"funder","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saideep Tiku","raw_affiliation_strings":["Colorado State University"],"affiliations":[{"raw_affiliation_string":"Colorado State University","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043706893","display_name":"Daniel Dauwe","orcid":"https://orcid.org/0000-0002-6858-8221"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"funder","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Dauwe","raw_affiliation_strings":["Colorado State University"],"affiliations":[{"raw_affiliation_string":"Colorado State University","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071008842","display_name":"Shi Jin","orcid":"https://orcid.org/0000-0001-9145-3862"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"funder","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shi Jin","raw_affiliation_strings":["Duke University"],"affiliations":[{"raw_affiliation_string":"Duke University","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078441163","display_name":"Partha Pratim Pande","orcid":"https://orcid.org/0000-0002-5930-8531"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"funder","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Partha Pratim Pande","raw_affiliation_strings":["Washington State University"],"affiliations":[{"raw_affiliation_string":"Washington State University","institution_ids":["https://openalex.org/I72951846"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.24052,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":75,"max":77},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12238","display_name":"Green IT and Sustainability","score":0.9997,"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":0.9997,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9987,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9983,"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/robustness","display_name":"Robustness","score":0.60910916},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data Analysis","score":0.6070291},{"id":"https://openalex.org/keywords/software-analytics","display_name":"Software analytics","score":0.5083186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8339835},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7386166},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.68106836},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6276952},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.60910916},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.6070291},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5943692},{"id":"https://openalex.org/C171981572","wikidata":"https://www.wikidata.org/wiki/Q7554239","display_name":"Software analytics","level":5,"score":0.5083186},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.45965853},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.42351392},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4131675},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.31286126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21532431},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.143913},{"id":"https://openalex.org/C174683762","wikidata":"https://www.wikidata.org/wiki/Q609588","display_name":"Component-based software engineering","level":4,"score":0.10864481},{"id":"https://openalex.org/C529173508","wikidata":"https://www.wikidata.org/wiki/Q638608","display_name":"Software development","level":3,"score":0.10517064},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.083411604},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3125502.3125560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.86}],"grants":[{"funder":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation","award_id":"ECCS-1646562"}],"datasets":[],"versions":[],"referenced_works_count":56,"referenced_works":["https://openalex.org/W1534677927","https://openalex.org/W1559312966","https://openalex.org/W1615383022","https://openalex.org/W1629328515","https://openalex.org/W1977838479","https://openalex.org/W1977936460","https://openalex.org/W1998537516","https://openalex.org/W1998621006","https://openalex.org/W2001881266","https://openalex.org/W2007087405","https://openalex.org/W2013388848","https://openalex.org/W2021959046","https://openalex.org/W2029951793","https://openalex.org/W2033772605","https://openalex.org/W2052816977","https://openalex.org/W2062877932","https://openalex.org/W2067507621","https://openalex.org/W2074995863","https://openalex.org/W2095157729","https://openalex.org/W2096006868","https://openalex.org/W2104805229","https://openalex.org/W2111556044","https://openalex.org/W2117873906","https://openalex.org/W2121868539","https://openalex.org/W2122646361","https://openalex.org/W2123185187","https://openalex.org/W2123646449","https://openalex.org/W2136325278","https://openalex.org/W2138722772","https://openalex.org/W2148689064","https://openalex.org/W2149206290","https://openalex.org/W2149315881","https://openalex.org/W2153779974","https://openalex.org/W2153819496","https://openalex.org/W2154053567","https://openalex.org/W2154384045","https://openalex.org/W2161036704","https://openalex.org/W2168344315","https://openalex.org/W2170102584","https://openalex.org/W2393210423","https://openalex.org/W2466475476","https://openalex.org/W2529306152","https://openalex.org/W2531751603","https://openalex.org/W2548021878","https://openalex.org/W2568011300","https://openalex.org/W2619217202","https://openalex.org/W2619632555","https://openalex.org/W2750802292","https://openalex.org/W2759211418","https://openalex.org/W2790704572","https://openalex.org/W2905146905","https://openalex.org/W2962957031","https://openalex.org/W2963565222","https://openalex.org/W3100645320","https://openalex.org/W4285719527","https://openalex.org/W4301345220"],"related_works":["https://openalex.org/W4226266853","https://openalex.org/W4210252074","https://openalex.org/W3123108850","https://openalex.org/W3092201768","https://openalex.org/W3033964479","https://openalex.org/W2898375586","https://openalex.org/W2740083192","https://openalex.org/W2413477332","https://openalex.org/W2320240660","https://openalex.org/W2051833471"],"abstract_inverted_index":{"The":[0],"amount":[1],"of":[2,57,66,123,149,171],"data":[3,23,76,114,138],"generated":[4],"and":[5,25,34,50,74,78,86,100,116,121,132,142,162,173,179],"collected":[6],"across":[7,167],"computing":[8,58],"platforms":[9],"every":[10],"day":[11],"is":[12],"not":[13],"only":[14],"enormous,":[15],"but":[16,60],"growing":[17],"at":[18],"an":[19],"exponential":[20],"rate.":[21],"Advanced":[22],"analytics":[24,77,101,115,139],"machine-learning":[26],"techniques":[27,42,102],"have":[28],"become":[29],"increasingly":[30],"essential":[31],"to":[32,47,52,81,96,127],"analyze":[33],"extract":[35],"meaning":[36],"from":[37],"such":[38],"\"Big":[39],"Data\".":[40],"These":[41],"can":[43,71,113,137],"be":[44],"very":[45],"useful":[46],"detect":[48,140],"patterns":[49],"trends":[51],"improve":[53,82,118],"the":[54,119,146,168],"operational":[55],"behavior":[56],"platforms,":[59],"they":[61],"also":[62],"introduce":[63],"a":[64],"number":[65],"outstanding":[67,160],"challenges:":[68],"(1)":[69],"How":[70,95,112,136],"we":[72,157],"design":[73],"deploy":[75],"learning":[79,99,117],"mechanisms":[80],"energy-efficiency":[83,122],"in":[84,145],"IoT":[85,133,172],"mobile":[87,174],"devices,":[88,175],"without":[89],"introducing":[90],"significant":[91],"software":[92],"overheads?":[93],"(2)":[94],"use":[97],"machine":[98],"for":[103],"effective":[104],"designspace":[105],"exploration":[106],"during":[107],"manycore":[108,176],"chip":[109],"design?":[110],"(3)":[111],"reliability":[120],"large-scale":[124],"cloud":[125,151],"datacenters,":[126,178],"cost-effectively":[128],"support":[129],"connected":[130],"embedded":[131],"platforms?":[134],"(4)":[135],"anomalies":[141],"increase":[143],"robustness":[144],"network":[147],"backbone":[148],"emerging":[150],"datacenter":[152],"networks?":[153],"In":[154],"this":[155],"paper,":[156],"discuss":[158],"these":[159],"problems":[161],"describe":[163],"far-reaching":[164],"solutions":[165],"applicable":[166],"interconnected":[169],"ecosystem":[170],"chips,":[177],"networks.":[180]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2766248341","counts_by_year":[{"year":2023,"cited_by_count":3}],"updated_date":"2025-03-18T23:22:21.894654","created_date":"2017-11-10"}