{"id":"https://openalex.org/W2616839112","doi":"https://doi.org/10.1007/s10586-017-0912-6","title":"Energy-aware auto-scaling algorithms for Cassandra virtual data centers","display_name":"Energy-aware auto-scaling algorithms for Cassandra virtual data centers","publication_year":2017,"publication_date":"2017-05-18","ids":{"openalex":"https://openalex.org/W2616839112","doi":"https://doi.org/10.1007/s10586-017-0912-6","mag":"2616839112"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-017-0912-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-017-0912-6","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10586-017-0912-6.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs10586-017-0912-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059091002","display_name":"Emiliano Casalicchio","orcid":"https://orcid.org/0000-0002-3118-5058"},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Emiliano Casalicchio","raw_affiliation_strings":["Department of Computer Science and Engineering, Blekinge Institute of Technology, Karlskrona, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Blekinge Institute of Technology, Karlskrona, Sweden","institution_ids":["https://openalex.org/I52719799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101593386","display_name":"Lars Lundberg","orcid":"https://orcid.org/0000-0002-5031-8215"},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Lars Lundberg","raw_affiliation_strings":["Department of Computer Science and Engineering, Blekinge Institute of Technology, Karlskrona, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Blekinge Institute of Technology, Karlskrona, Sweden","institution_ids":["https://openalex.org/I52719799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032542506","display_name":"Sogand Shirinbab","orcid":null},"institutions":[{"id":"https://openalex.org/I52719799","display_name":"Blekinge Institute of Technology","ror":"https://ror.org/0093a8w51","country_code":"SE","type":"education","lineage":["https://openalex.org/I52719799"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sogand Shirinbab","raw_affiliation_strings":["Department of Computer Science and Engineering, Blekinge Institute of Technology, Karlskrona, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Blekinge Institute of Technology, Karlskrona, Sweden","institution_ids":["https://openalex.org/I52719799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059091002"],"corresponding_institution_ids":["https://openalex.org/I52719799"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":{"value":2190,"currency":"EUR","value_usd":2790},"fwci":3.0263,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.92748305,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"20","issue":"3","first_page":"2065","last_page":"2082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":1.0,"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":0.9984999895095825,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9919000267982483,"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":0.8917094469070435},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6633689403533936},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.6510879993438721},{"id":"https://openalex.org/keywords/nosql","display_name":"NoSQL","score":0.6385608315467834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5684087872505188},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5449123382568359},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5388431549072266},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.48728811740875244},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4186818301677704},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.41796940565109253},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3821331262588501},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.26136112213134766},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23210155963897705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09636518359184265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8917094469070435},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6633689403533936},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.6510879993438721},{"id":"https://openalex.org/C2779599972","wikidata":"https://www.wikidata.org/wiki/Q82231","display_name":"NoSQL","level":3,"score":0.6385608315467834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5684087872505188},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5449123382568359},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5388431549072266},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.48728811740875244},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4186818301677704},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.41796940565109253},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3821331262588501},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.26136112213134766},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23210155963897705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09636518359184265},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10586-017-0912-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-017-0912-6","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10586-017-0912-6.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1065170","is_oa":true,"landing_page_url":"http://hdl.handle.net/11573/1065170","pdf_url":"http://hdl.handle.net/11573/1065170","source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:DiVA.org:bth-14152","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14152","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/s10586-017-0912-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-017-0912-6","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10586-017-0912-6.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G4571721318","display_name":null,"funder_award_id":"20140032","funder_id":"https://openalex.org/F4320321759","funder_display_name":"Stiftelsen f\u00f6r Kunskaps- och Kompetensutveckling"}],"funders":[{"id":"https://openalex.org/F4320321759","display_name":"Stiftelsen f\u00f6r Kunskaps- och Kompetensutveckling","ror":"https://ror.org/02cbq7e25"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2616839112.pdf","grobid_xml":"https://content.openalex.org/works/W2616839112.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W71992527","https://openalex.org/W1549561656","https://openalex.org/W1566657756","https://openalex.org/W1937843148","https://openalex.org/W1965151460","https://openalex.org/W1966148203","https://openalex.org/W1983707227","https://openalex.org/W1985229168","https://openalex.org/W1985286156","https://openalex.org/W2003520708","https://openalex.org/W2004408408","https://openalex.org/W2005251796","https://openalex.org/W2018596046","https://openalex.org/W2022751959","https://openalex.org/W2031127475","https://openalex.org/W2052952840","https://openalex.org/W2053135018","https://openalex.org/W2055391493","https://openalex.org/W2063025533","https://openalex.org/W2084898910","https://openalex.org/W2086867325","https://openalex.org/W2126491373","https://openalex.org/W2131164945","https://openalex.org/W2131492297","https://openalex.org/W2131783215","https://openalex.org/W2148199553","https://openalex.org/W2154863143","https://openalex.org/W2163613561","https://openalex.org/W2169190474","https://openalex.org/W2405628490","https://openalex.org/W2559890634"],"related_works":["https://openalex.org/W4287703484","https://openalex.org/W4315926861","https://openalex.org/W3046475116","https://openalex.org/W2585066260","https://openalex.org/W3124427293","https://openalex.org/W2364921833","https://openalex.org/W2564836342","https://openalex.org/W2548059104","https://openalex.org/W2368437561","https://openalex.org/W2740597501"],"abstract_inverted_index":{"Apache":[0],"Cassandra":[1,30,47,62,66,141,217,228],"is":[2,229,242,248],"an":[3,120],"highly":[4],"scalable":[5],"and":[6,17,44,77,88,91,99,107,129,143,168,192,232],"available":[7],"NoSql":[8],"datastore,":[9],"largely":[10],"used":[11],"by":[12,251],"enterprises":[13],"of":[14,39,46,57,61,122,126,130,156,165,170,178,185,216,220,227,238],"each":[15],"size":[16],"for":[18,148],"application":[19],"areas":[20],"that":[21],"range":[22],"from":[23],"entertainment":[24],"to":[25,35,235],"big":[26],"data":[27,49,67],"analytics.":[28],"Managed":[29],"service":[31],"providers":[32],"are":[33,97],"emerging":[34],"hide":[36],"the":[37,40,55,82,123,127,131,137,154,157,176,183,203,214,221,253],"complexity":[38,125],"installation,":[41],"fine":[42],"tuning":[43],"operation":[45],"virtual":[48],"centers":[50],"(VDCs).":[51],"This":[52],"paper":[53],"address":[54],"problem":[56],"energy":[58,204],"efficient":[59],"auto-scaling":[60,133,140,150,180,188],"VDC":[63,142,198],"in":[64,139,209,218],"managed":[65],"centers.":[68],"We":[69,173],"propose":[70],"three":[71],"energy-aware":[72,179],"autoscaling":[73],"algorithms:":[74],"Opt,":[75],"LocalOpt":[76,110],"LocalOpt-H.":[78],"The":[79,94,194],"first":[80],"provides":[81],"optimal":[83,92,108,128],"scaling":[84,90,106,226,241],"decision":[85],"orchestrating":[86],"horizontal":[87,105],"vertical":[89,113],"placement.":[93,109],"other":[95],"two":[96,186],"heuristics":[98],"provide":[100,119,145],"sub-optimal":[101],"solutions.":[102],"Both":[103],"orchestrate":[104],"consider":[111],"also":[112,174],"scaling.":[114],"In":[115],"this":[116],"paper:":[117],"we":[118,135,144,152],"analysis":[121],"computational":[124],"heuristic":[132],"algorithms;":[134,151],"discuss":[136],"issues":[138],"best":[146],"practice":[147],"using":[149],"evaluate":[153],"performance":[155,177,184],"proposed":[158],"algorithms":[159,181],"under":[160],"programmed":[161],"SLA":[162],"variation,":[163],"surge":[164,237],"throughput":[166],"(unexpected)":[167],"failures":[169],"physical":[171],"nodes.":[172],"compare":[175],"with":[182],"energy-blind":[187],"algorithms,":[189],"namely":[190],"BestFit":[191],"BestFit-H.":[193],"main":[195],"findings":[196],"are:":[197],"allocation":[199],"aiming":[200],"at":[201],"reducing":[202],"consumption":[205],"or":[206],"resource":[207],"usage":[208],"general":[210],"can":[211],"heavily":[212],"reduce":[213],"reliability":[215],"term":[219],"consistency":[222],"level":[223],"offered.":[224],"Horizontal":[225],"very":[230],"slow":[231],"make":[233],"hard":[234],"manage":[236],"throughput.":[239],"Vertical":[240],"a":[243],"valid":[244],"alternative,":[245],"but":[246],"it":[247],"not":[249],"supported":[250],"all":[252],"cloud":[254],"infrastructures.":[255]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
