Automatic Minimization of Execution Budgets of SPITS Programs in AWS
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Artigo de evento
Date
2020
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Communications in Computer and Information Science
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2
Authors
Okita N.T.
Coimbra T.A.
Rodamilans C.B.
Tygel M.
Borin E.
Coimbra T.A.
Rodamilans C.B.
Tygel M.
Borin E.
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Journal Title
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Volume Title
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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.
Description
Keywords
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Amazon web services , Auto-scaling , Cloud computing platforms , Computational resources , Instance selection , Performance specifications , Programming models , Start-up overheads