| Full text | |
| Author(s): |
Okita, Nicholas T.
;
Coimbra, Tiago A.
;
Rodamilans, Charles B.
;
Tygel, Martin
;
Borin, Edson
;
Bianchini, C
;
Osthoff, C
;
Souza, P
;
Ferreira, R
Total Authors: 9
|
| Document type: | Journal article |
| Source: | HIGH PERFORMANCE COMPUTING SYSTEMS, WSCAD 2018; v. 1171, p. 16-pg., 2020-01-01. |
| Abstract | |
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. (AU) | |
| FAPESP's process: | 13/08293-7 - CCES - Center for Computational Engineering and Sciences |
| Grantee: | Munir Salomao Skaf |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |