{"id":"https://openalex.org/W2896729928","doi":"https://doi.org/10.1109/sera.2018.8477218","title":"Quantitative Modeling and Analytical Calculation of Elasticity in Cloud Computing","display_name":"Quantitative Modeling and Analytical Calculation of Elasticity in Cloud Computing","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2896729928","doi":"https://doi.org/10.1109/sera.2018.8477218","mag":"2896729928"},"language":"en","primary_location":{"id":"doi:10.1109/sera.2018.8477218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sera.2018.8477218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 16th International Conference on Software Engineering Research, Management and Applications (SERA)","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/A5087894632","display_name":"Keqin Li","orcid":"https://orcid.org/0000-0001-5224-4048"},"institutions":[{"id":"https://openalex.org/I157455823","display_name":"SUNY New Paltz","ror":"https://ror.org/03j3dv688","country_code":"US","type":"education","lineage":["https://openalex.org/I157455823"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Keqin Li","raw_affiliation_strings":["Department of Computer Science, State University of New York, New Paltz, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, State University of New York, New Paltz, USA","institution_ids":["https://openalex.org/I157455823"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087894632"],"corresponding_institution_ids":["https://openalex.org/I157455823"],"apc_list":null,"apc_paid":null,"fwci":3.1415,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.93490308,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9977999925613403,"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":0.9977999925613403,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.9294999837875366,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.8961487412452698},{"id":"https://openalex.org/keywords/elasticity","display_name":"Elasticity (physics)","score":0.8167833089828491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7605202198028564},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6062792539596558},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5331525206565857},{"id":"https://openalex.org/keywords/virtual-machine","display_name":"Virtual machine","score":0.4637724757194519},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.4614483416080475},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4334675669670105},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33837640285491943},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32033753395080566},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12681236863136292},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10862916707992554},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09473291039466858}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8961487412452698},{"id":"https://openalex.org/C121854251","wikidata":"https://www.wikidata.org/wiki/Q62932","display_name":"Elasticity (physics)","level":2,"score":0.8167833089828491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7605202198028564},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6062792539596558},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5331525206565857},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.4637724757194519},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.4614483416080475},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4334675669670105},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33837640285491943},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32033753395080566},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12681236863136292},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10862916707992554},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09473291039466858},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sera.2018.8477218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sera.2018.8477218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 16th International Conference on Software Engineering Research, Management and Applications (SERA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W2990194547","https://openalex.org/W1480123525","https://openalex.org/W2620865396","https://openalex.org/W2414054180"],"abstract_inverted_index":{"Elasticity":[0],"is":[1,62,286],"a":[2,13,17,33,53,86,90,95,108,121,212,246,272],"fundamental":[3],"feature":[4],"of":[5,20,39,107,177,191,195,199,216,282,311,316],"cloud":[6,21,42,54,66,87,109,180,213,247,273,300,312,318],"computing":[7,49,181,319],"and":[8,16,36,68,73,93,115,136,146,152,169,207,220,232,292,297,304,314],"can":[9,69,154,250,276],"be":[10,70,155],"considered":[11],"as":[12,89,184],"great":[14],"advantage":[15],"key":[18],"benefit":[19],"computing.":[22,301],"Our":[23,60,302],"research":[24],"makes":[25],"the":[26,45,48,57,104,125,129,132,228,236,243,258,280,287,309],"following":[27],"significant":[28],"contributions.":[29],"First,":[30],"we":[31,76,141,165],"present":[32],"new,":[34],"quantitative,":[35],"formal":[37],"definition":[38,61],"elasticity":[40,83,105,229,313],"in":[41,239,263,299],"computing,":[43],"i.e.,":[44],"probability":[46],"that":[47,149,290],"resources":[50],"provided":[51],"by":[52,84,111],"platform":[55,67,88,110],"match":[56],"current":[58],"workload.":[59],"applicable":[63],"to":[64,81,101,158,171,256,308],"any":[65],"easily":[71,156],"measured":[72],"monitored.":[74],"Furthermore,":[75],"develop":[77],"an":[78,113,178],"analytical":[79,114],"model":[80,100,151,168,303],"study":[82,262],"treating":[85],"queueing":[91],"system,":[92,182],"use":[94],"continuous-time":[96],"Markov":[97],"chain":[98],"(CTMC)":[99],"precisely":[102],"calculate":[103],"value":[106],"using":[112,235],"numerical":[116],"method":[117,153,170,305],"based":[118],"on":[119],"just":[120],"few":[122],"parameters,":[123],"namely,":[124],"task":[126,186],"arrival":[127],"rate,":[128,131],"service":[130,248,274],"virtual":[133],"machine":[134],"start-up":[135],"shut-down":[137],"rates.":[138],"In":[139,209],"addition,":[140],"formally":[142],"define":[143],"auto-scaling":[144],"schemes":[145],"point":[147,215],"out":[148],"our":[150,167,283],"extended":[157],"handle":[159],"arbitrarily":[160],"sophisticated":[161],"scaling":[162,254],"schemes.":[163],"Second,":[164],"apply":[166],"predict":[172,277],"many":[173],"other":[174,244],"important":[175,226],"properties":[176],"elastic":[179,253,317],"such":[183],"average":[185,193,197],"response":[187],"time,":[188],"throughput,":[189],"quality":[190],"service,":[192],"number":[194,198],"VMs,":[196,201],"busy":[200],"utilization,":[202],"cost,":[203],"cost-performance":[204,260],"ratio,":[205],"productivity,":[206],"scalability.":[208],"fact,":[210],"from":[211],"consumer's":[214],"view,":[217],"these":[218],"performance":[219],"cost":[221,233,298],"metrics":[222],"are":[223],"even":[224],"more":[225],"than":[227],"metric.":[230],"Ourperformance":[231],"guarantee":[234],"results":[237],"developed":[238],"this":[240,264,285],"talk.":[241],"On":[242,269],"hand,":[245,271],"provider":[249,275],"optimize":[251],"its":[252,278],"scheme":[255],"deliver":[257],"best":[259,281],"ratio.":[261],"talk":[265],"has":[266],"two":[267],"significance.":[268],"one":[270],"To":[279],"knowledge,":[284],"first":[288],"work":[289],"analytically":[291],"comprehensively":[293],"studies":[294],"elasticity,":[295],"performance,":[296],"significantly":[306],"contribute":[307],"understanding":[310],"management":[315],"systems.":[320]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}