Enabling re-executions of parallel scientific workflows using runtime provenance data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7525 LNCS, Issue , 2012, Pages 229-232

  Costa, Flávio ^a   De Oliveira, Daniel ^a   Ocaña, Kary A C S ^a   Ogasawara, Eduardo ^a,b   Mattoso, Marta ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b CEFET   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

EXECUTION TIME; HIGH PERFORMANCE COMPUTING; LARGE CLUSTERS; PARALLEL EXECUTIONS; REPRODUCIBILITIES; RUNTIMES; SCIENTIFIC WORKFLOWS; SERVICE ARCHITECTURE; VIRTUAL MACHINES; WORK-FLOWS; WORKFLOW ENGINES;

ARTIFICIAL INTELLIGENCE;

EID: 84868282075     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34222-6_22     Document Type: Conference Paper

References (8)

1. Mattoso, M., Werner, C., Travassos, G.H., Braganholo, V., Murta, L., Ogasawara, E., Oliveira, D., da Cruz, S.M.S., Martinho, W.: Towards Supporting the Life Cycle of Large-scale Scientific Experiments. International Journal of Business Process Integration and Management 5(1), 79-92 (2010)
2. Vaquero, L.M., Rodero-Merino, L., Caceres, J., Lindner, M.: A break in the clouds: towards a cloud definition. SIGCOMM Comput. Commun. Rev. 39(1), 50-55 (2009)
3. Ocaña, K.A.C.S., de Oliveira, D., Ogasawara, E., Dávila, A.M.R., Lima, A.A.B., Mattoso, M.: SciPhy: A Cloud-Based Workflow for Phylogenetic Analysis of Drug Targets in Protozoan Genomes. In: Norberto de Souza, O., Telles, G.P., Palakal, M. (eds.) BSB 2011. LNCS, vol. 6832, pp. 66-70. Springer, Heidelberg (2011)
4. Oliveira, D., Ogasawara, E., Ocana, K., Baiao, F., Mattoso, M.: An Adaptive Parallel Execution Strategy for Cloud-based Scientific Workflows. Concurrency and Computation: Practice and Experience (2011) (online)
5. Freire, J., Koop, D., Santos, E., Silva, C.T.: Provenance for Computational Tasks: A Survey. Computing in Science and Engineering 10(3), 11-21 (2008)
6. Altintas, I., Berkley, C., Jaeger, E., Jones, M., Ludascher, B., Mock, S.: Kepler: an extensible system for design and execution of scientific workflows. In: Scientific and Statistical Database Management, Greece, pp. 423-424 (2004)
7. Ferreira, J.E., Wu, Q., Malkowski, S., Pu, C.: Towards Flexible Event-Handling in Workflows Through Data States. In: Proc. of the 2010 IEEE 6th World Congress on Services, Miami, FL, pp. 344-351 (2010)
8. Crawl, D., Altintas, I.: A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows. In: Freire, J., Koop, D., Moreau, L. (eds.) IPAW 2008. LNCS, vol. 5272, pp. 152-159. Springer, Heidelberg (2008)