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Development of new capabilities for the computer grid simulator iSPD: characterizing tasks and optimizing the simulation engine

Abstract

The use of computer grids as infrastructure to achieve high performance computing has grown in recent years, both for scientific and business applications. In parallel with this growth comes the offer of performance evaluation tools oriented to grids, with a special note to grid simulators. One of such simulators is iSPD, {\bf i}conic {\bf S}imulator of {\bf P}arallel and {\bf D}istributed systems \cite{anss2012, iscc2012}, proposed and developed by Unesp's Parallel and Distributed Systems Lab, GSPD, which was partially funded by FAPESP (grant 08/09312-7). iSPD's primary goal is to provide a grid modeling interface that is easy-to-use by any kind of user, even those who have very little knowledge about computer programming or simulation tools. Its initial version attends this requisite in a large extension, but its simulation engine is somewhat slow while simulating systems with a large amount of elements (above fifty thousand grid nodes and one hundred thousand simulated tasks). Therefore, one of the goals of this research proposal is to find efficient solutions to speed up the simulation process in iSPD. This acceleration should come from two fronts: parallelizing the simulation through threads (what is not thoroughfully done by similar simulators) and identifyng algorithms for queue manipulation that have linear complexity. Besides this goal, other innovative aspects of this proposal include research to provide different forms of task manipulation, which occurs just as atomic elements in the current version. Particularly, two aspects of task's manipulation will be considered: their semantic distinction (allowing to treat them as services offered by the grid) and their interdependence (allowing for a more realistic modeling of concurrency and parallelism). (AU)

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Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DOS SANTOS, VINICIUS ANDRADE; MANACERO, ALEARDO; LOBATO, RENATA S.; SPOLON, ROBERTA; CAVENAGHI, MARCOS A.; ROCHA, A; PEREZ, BE; PENALVO, FG; MIRAS, MD; GONCALVES, R. A systematic review of fault tolerance solutions for communication errors in open source cloud computing. 2020 15TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI'2020), v. N/A, p. 6-pg., . (12/15127-3)
FORTE, CASSIO H. V.; MANACERO, ALEARDO; LOBATO, RENATA S.; SPOLON, ROBERTA; IEEE. An Energy-aware Task Scheduler Based in Ownership Fairness Applied to Federated Grids. 2018 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC), v. N/A, p. 4-pg., . (12/15127-3)
MAGRI RODRIGUES, JOAO ANTONIO; DE OLIVEIRA, FABIOLA MARTINS C.; LOBATO, RENATA SPOLON; SPOLON, ROBERTA; MANACERO, ALEARDO; BORIN, EDSON; IEEE. Improving virtual machine consolidation for heterogeneous cloud computing datacenters. 2019 31ST INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING (SBAC-PAD 2019), v. N/A, p. 4-pg., . (12/15127-3)
FURLANETTO, GABRIEL C.; STABILE, RAFAEL S.; MANACERO, ALEARDO; LOBATO, RENATA S.; MENEZES, DENISON; SPOLON, ROBERTA; TOLK, A; JAFER, S; PADILLA, JJ. A tool for model conversion between simulators of grid computing. 48TH ANNUAL SIMULATION SYMPOSIUM (ANSS 2015), v. N/A, p. 8-pg., . (12/15127-3)

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