Automatic Minimization of Execution Budgets of SPITS Programs in AWS

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dc.contributor.authorOkita N.T.
dc.contributor.authorCoimbra T.A.
dc.contributor.authorRodamilans C.B.
dc.contributor.authorTygel M.
dc.contributor.authorBorin E.
dc.date.accessioned2024-03-12T23:50:22Z
dc.date.available2024-03-12T23:50:22Z
dc.date.issued2020
dc.description.abstract© Springer Nature Switzerland AG 2020.Cloud computing platforms offer a wide variety of computational resources with different performance specifications for different prices. In this work, we experiment how Spot instances and Availability Zones on the Amazon Web Services (AWS) could be utilized to reduce the processing budget. Not only that, but we propose instance selection algorithms in AWS to minimize the execution budget of programs implemented using the programming model Scalable Partially Idempotent Task System (SPITS). Our results show that the proposed method can identify and dynamically adjust the virtual machine types that offer the best price per performance ratio. Therefore, we conclude that our algorithms can minimize the budget given a long enough execution time, except in situations where the startup overhead caused the budget difference or in a short period execution.
dc.description.firstpage21
dc.description.lastpage36
dc.description.volume1171 CCIS
dc.identifier.doi10.1007/978-3-030-41050-6_2
dc.identifier.issn1865-0937
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35116
dc.relation.ispartofCommunications in Computer and Information Science
dc.rightsAcesso Restrito
dc.subject.otherlanguageAuto-scaling
dc.subject.otherlanguageCloud-computing
dc.subject.otherlanguageEconomics
dc.titleAutomatic Minimization of Execution Budgets of SPITS Programs in AWS
dc.typeArtigo de evento
local.scopus.citations2
local.scopus.eid2-s2.0-85080931378
local.scopus.subjectAmazon web services
local.scopus.subjectAuto-scaling
local.scopus.subjectCloud computing platforms
local.scopus.subjectComputational resources
local.scopus.subjectInstance selection
local.scopus.subjectPerformance specifications
local.scopus.subjectProgramming models
local.scopus.subjectStart-up overheads
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85080931378&origin=inward
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