Reducing complexity in management of escience computations

Proceedings - 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2012

Volumn , Issue , 2012, Pages 845-852

  Östberg, Per Olov ^a   Hellander, Andreas ^b   Drawert, Brian ^b   Elmroth, Erik ^a   Holmgren, Sverker ^c   Petzold, Linda ^b  

^a UMEÅ UNIVERSITY   (Sweden)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UPPSALA UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION DEVELOPMENT; COMPUTATIONAL EXPERIMENT; COMPUTATIONAL SCIENCE; DESIGN PATTERNS; DISTRIBUTED COMPUTATIONAL RESOURCES; DISTRIBUTED COMPUTING ENVIRONMENT; DISTRIBUTED EXECUTION; DISTRIBUTED RESOURCES; DISTRIBUTED SCIENTIFIC COMPUTING; E-SCIENCE; KINETIC MONTE CARLO; MOLECULAR SYSTEMS; SCIENTIFIC COMPUTATION; SOFTWARE FRAMEWORKS; SOFTWARE SYSTEMS; VIRTUAL INFRASTRUCTURES;

COMPUTER PROGRAMMING;

GRID COMPUTING;

EID: 84863639731     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCGrid.2012.72     Document Type: Conference Paper

References (17)

1. C. Bunch, N. Chohan, C. Krintz, and K. Shams. Neptune: a domain specific language for deploying hpc software on cloud platforms. In Proceedings of the 2nd international workshop on Scientific cloud computing, ScienceCloud '11, pages 59-68, New York, NY, USA, 2011. ACM.
2. H. Casanova, F. Berman, T. Bartol, E. Gokcay, T. Sejnowski, A. Birnbaum, J. Dongarra, M. Miller, M. Ellisman, M. Faerman, G. Obertelli, R. Wolski, S. Pomerantz, and J. Stiles. The virtual instrument: Support for grid-enabled mcell simulations. International Journal of High Performance Computing Applications, 18(1):3-17, 2004.
3. B. Drawert, S. Engblom, and A. Hellander. URDME 1.1: User's manual. Technical Report 2011-003, Department of Information Technology, Division of Scientific Computing, Uppsala University, 2011.
4. M. Ellert and et.al. Advanced resource connector middleware for lightweight computational Grids. Future Generation Computer Systems. The International Journal of Grid Computing: Theory, Methods and Applications, 27(2):219-240, 2007.
5. S. Engblom, L. Ferm, A. Hellander, and P. Lötstedt. Simulation of stochastic reaction-diffusion processes on unstructured meshes. SIAM J. Sci. Comput., 31(3):1774-1797, 2009.
6. D. Fange and J. Elf. Noise induced Min phenotypes in E. coli. PLoS Comput. Biol., 2(6):e80, 2006.
7. I. Foster. Globus toolkit version 4: Software for service-oriented systems. In H. Jin, D. Reed, and W. Jiang, editors, IFIP International Conference on Network and Parallel Computing, LNCS 3779, pages 2-13. Springer-Verlag, 2005.
8. K. C. Huang, Y. Meir, and N. S. Wingreen. Dynamic structures in escherichia coli: Spontaneous formation of MinE and MinD polar zones. Proc. Natl. Acad. Sci. USA, 100(22):12724-12728, 2003.
9. H. Kaiser, A. Merzky, S. Hirmer, G. Allen, and E. Seidel. The saga c++ reference implementation: a milestone toward new high-level grid applications. In Proceedings of the 2006 ACM/IEEE conference on Supercomputing, SC '06, New York, NY, USA, 2006. ACM.
10. W. Lee, A. S. McGough, and J. Darlington. Performance evaluation of the GridSAM job submission and monitoring system. In UK e-Science All Hands Meeting, pages 915-922, 2005.
11. P-O. Östberg and E. Elmroth. Mediation of Service Overhead in Service-Oriented Grid Architectures. In S. Jha, N.g. Felde, R. Buyya, and G. Fedak, editors, Proceedings of Grid 2011: 12th IEEE/ACM International Conference on Grid Computing, pages 9-18, 2011.
12. P-O. Östberg and E. Elmroth. GJMF - A Composable Service-Oriented Grid Job Management Framework. Preprint available at http://www.cs.umu.se/ds, submitted, 2010.
13. P-O. Östberg, A. Hellander, B. Drawert, E. Elmroth, S. Holmgren, and L. Petzold. Abstractions For Scaling eScience Applications to Distributed Computing Environments. In Proceedings of BIOINFORMATICS 2012, International Conference on Bioinformatics Models, Methods, and Algorithms, pages 290-294, 2012.
14. I. Raicu, I.T. Foster, and Y. Zhao. Many-task computing for grids and supercomputers. In Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS) 2008., pages 1-11, 2008.
15. I. Raicu, Y. Zhao, C. Dumitrescu, I. Foster, and M. Wilde. Falkon: a Fast and Light-weight tasK executiON framework. In Proceedings of IEEE/ACM Supercomputing 07, 2007.
16. P. S. Swain. Efficient attenuation of stochasticity in gene expression through post-transcriptional control. J. Mol. Biol., 344(4):965-976, 2004.
17. M. Welsh, D. Culler, and E. Brewer. SEDA: An architecture for well-connected scalable internet services. Operating System Review, 35(5):230-243, 2001.