Automatic minimization of execution costs of SPITS programs in AWS

Tipo
Artigo de evento
Data de publicação
2018
Periódico
Proceedings - 2018 Symposium on High-Performance Computing Systems, WSCAD 2018
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0
Autores
Okita N.
Rodamilans C.
Coimbra T.
Tygel M.
Borin E.
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Resumo
© 2018 IEEE.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 cost. Not only that, but we propose an instance management algorithm in AWS to minimize the execution cost of programs implemented using the programming model Scalable Partially Idempotent Task System (SPITS). Our results show that the proposed method is able to identify and dynamically adjust the virtual machine types that offer the best cost per performance ratio.
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Assuntos Scopus
Amazon web services , Cloud computing platforms , Computational resources , Performance ratio , Performance specifications , Processing costs , Programming models , Seismic processing
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