Enabling computational steering with an asynchronous-iterative computation framework

e-Science 2009 - 5th IEEE International Conference on e-Science

Volumn , Issue , 2009, Pages 255-262

  Di Costanzo, Alexandre ^a   Jin, Chao ^a   Varela, Carlos A ^b   Buyya, Rajkumar ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AREA OF INTEREST; C APPLICATION; COMPUTATIONAL STEERING; DYNAMIC INTERACTION; GRID COMPUTING ENVIRONMENT; ITERATIVE COMPUTATION; MILKY WAY GALAXY; MULTICLUSTER GRID; PROGRAMMING MODELS; SLOAN DIGITAL SKY SURVEY; SYNCHRONISATION; T-MODEL; VIRTUAL MACHINES;

GALAXIES;

GRID COMPUTING;

EID: 77949810263     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/e-Science.2009.43     Document Type: Conference Paper

References (23)

1. A. W. McNabb, C. K. Monson, and K. D. Seppi. Parallel PSO Using MapReduce. In Proc. of the Congress on Evolutionary Computation, 2007.
2. J. Adelman-McCarthy, M. Agüeros, S. Allam, C. Prieto, K. Anderson, S. Anderson, J. Annis, N. Bahcall, C. Bailer-Jones, I. Baldry, et al. The sixth data release of the sloan digital sky survey. Urbana, 51:61801.
3. M. A. Alex Shenfield, Peter J. Fleming. Computational steering of a multi-objective evolutionary algorithm for engineering design. Engineering Applications of Arti cial Intelligence, 20-8:1047-1057, 2007.
4. D. P. Anderson. Boinc: A system for public-resource computing and storage. Fifth IEEE/ACM International Workshop on Grid Computing, 0:4-10, November 2004.
5. J. Brooke, P. Coveney, J. Harting, S. Jha, S. Pickles, R. Pinning, and A. Porter. Computational steering in RealityGrid. In Proc. of the UK e-Science All Hands Meeting, September, volume 2, pages 885-889. Citeseer, 2003.
6. F. Cappello, E. Caron, M. Dayde, F. Desprez, E. Jeannot, Y. Jegou, S. Lanteri, J. Leduc, N. Melab, G. Mornet, R. Namyst, P. Primet, and O. Richard. Grid'5000: a large scale, reconfigurable, controlable and monitorable Grid platform. In Grid 2005 Workshop, Seattle, USA, November 13-14 2005. IEEE/ACM.
7. D. Caromel, A. di Costanzo, L. Baduel, and S. Matsuoka. Grid'bnb : A parallel branch and bound framework for grids. In S. Aluru, M. Parashar, R. Badrinath, and V. K. Prasanna, editors, HiPC, volume 4873 of Lecture Notes in Computer Science, pages 566-579. Springer, 2007.
8. Chao Jin, Christian Vecchiola, Rajkumar Buyya. MRPGA: An Extension of MapReduce for Parallelizing Genetic Algorithms. In Proc. of 4th IEEE International Conference on e-Science, 2008.
9. T. Desell, B. Szymanski, and C. A. Varela. An asynchronous hybrid genetic-simplex search for modeling the milky way galaxy using volunteer computing. In Genetic and Evolutionary Computation Conference (GECCO 2008), pages 921-928, Atlanta, Georgia, July 2008.
10. A. di Costanzo, M. D. de Assunção, and R. Buyya. Building a virtualized distributed computing infrastructure by harnessing grid and cloud technologies. Internet Computing, IEEE, Sept-Oct 2009. To appear.
11. EGEE. http://public.eu-egee.org/, 2004.
12. J. Ekanayake, S. Pallickara, and G. Fox. Map-Reduce for Scientific Applications. In Proc. of the 4th IEEE International Conference on e-Science., 2008.
13. Hadoop. http://hadoop.apache.org.
14. Hadoop on demand. http://hadoop.apache.org/core/docs/current/hod user guide.html.
15. J. Dean and S. Ghemawat. MapReduce: Simplified Data Processing on Large Clusters. In Proc. of the 6th Symposium on Operating System Design and Implementation, 2004.
16. R. v. L. Jurriaan D. Mulder, Jarke J. van Wijk. A survey of computational steering environments. Future Generation Computer Systems, 15-1:119-129, 1999.
17. K. Keahey, I. Foster, T. Freeman, and X. Zhang. Virtual workspaces: Achieving quality of service and quality of life in the Grids. Scienti c Programming, 13(4):265-275, 2006.
18. A. Matsunaga, M. Tsugawa, and J. Fortes. Cloudblast: Combining mapreduce and virtualization on distributed resources for bioinformatics applications. In Proceedings of the Fourth IEEE International Conference on eScience, pages 222-229, USA, 2008.
19. R. Müller-Pfefferkorn et al. User-centric monitoring and steering of the execution of large job sets. In Proc. of German e-Science Conference. Citeseer, 2007.
20. O. W. Petra Wenisch and E. Rank. Harnessing high-performance computers for computational steering. Recent Advances in Parallel Virtual Machine and Message Passing Interface, Lecture Notes in Computer Science, 3666/2005:536-543, 2005.
21. R. E. Bryant. Data-Intensive Supercomputing: The Case for DISC. In CMU-CS-07-128, Technical Report, Carnegie Mellon University, 2007.
22. L. Ramakrishnan, D. Irwin, L. Grit, A. Yumerefendi, A. Iamnitchi, and J. Chase. Toward a doctrine of containment: Grid hosting with adaptive resource control. In 2006 ACM/IEEE Conference on Supercomputing, page 101.
23. Shantenu Jha, Stephen Pickles, Andrew Porter. A Computational Steering API for Scientific Grid Applications: Design, Implementation and Lessons. In Proc. of Grid Application Programming Interfaces Workshop, 2004.