Dynamic co-scheduling of distributed computation and replication

Sixth IEEE International Symposium on Cluster Computing and the Grid, 2006. CCGRID 06

Volumn , Issue , 2006, Pages 592-600

  Huadong, Liu ^a   Beck, Micah ^a   Jian, Huang ^a  

^a University of Tennessee Knoxville   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANONICAL SCHEDULING; DATA MOVEMENT; DYNAMIC COSCHEDULING ALGORITHMS; RUNTIME DATA;

ALGORITHMS; COMPUTER AIDED SOFTWARE ENGINEERING; COMPUTER SUPPORTED COOPERATIVE WORK; DATA TRANSFER; INTERACTIVE COMPUTER SYSTEMS; SCHEDULING; SERVERS;

DISTRIBUTED COMPUTER SYSTEMS;

EID: 33751074950     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCGRID.2006.36     Document Type: Conference Paper

References (17)

1. PlanetLab. http://www.glanet-lab.grg/.
2. M. S. Allen and R. Wolski. The livny and plank-beck problems: Studies in data movement on the computational grid. In SC'03: Proceedings of the 2003 ACM/IEEE conference on Supercomputing, page 43, Washington, DC, USA, 2003. IEEE Computer Society.
3. M. Beck, T. Moore, and J. S. Plank. An end-to-end approach to globally scalable network storage. In SIGCOMM '02, Pittsburgh, August 2002.
4. M. Beck, T. Moore, and J. S. Plank. An end-to-end approach to globally scalable programmable networking. Computer Communication Review, 33(4):328-339, 2003.
5. F.D. Berman, R. Wolski, H. Casanova, W. Cirne, H. Dail, M. Faerman, S. Figueira, J. Hayes, G. Obertelli, J. Schopf, G. Shao, S. Smallen, N. Spring, A. Su, and D. Zagorodnov. Adaptive computing on the grid using apples. IEEE Trans. on Parallel and Distributed Systems, 14(4):369-382, 2003.
6. H. Casanova, M. Kim, J. S. Plank, and J. Dongarra. Adaptive scheduling for task farming with grid middleware. International Journal of High Performance Computing, 13(3):231-240, Fall 1999.
7. A. Chakrabarti, R. A. Dheepak, and S. Sengupta. Integration of scheduling and replication in data grids. In International Conference on High Performance Computing (HiPC), December 2004.
8. F. Desprez and A. Vernois. Simultaneous scheduling of replication and computation for data-intensive applications on the grid. Technical Report RR2005-01, Lyon, France, 2005.
9. C. Dovrolis, P. Ramanathan, and D. Moore. Packet-dispersion techniques and a capacity-estimation methodology. IEEE/ACM Transactions on Networking, 12(6):963-977, 2004.
10. T. Hagerup. Allocating independent tasks to parallel processors: an experimental study. Journal of Parallel and Distributed Computing, 47(2):185-197, 1997.
11. E. Heymann, M. A. Senar, E. Luque, and M. Livny. Adaptive scheduling for master-worker applications on the computational grid. In GRID '00: Proceedings of the First IEEE/ACM International Workshop on Grid Computing, pages 214-227, London, UK, 2000. Springer-Verlag.
12. D. S. Hochbaum, editor. Approximation algorithms for NP-hard problems. PWS Publishing Co., Boston, MA, USA, 1997.
13. J. S. Plank, S. Atchley, Y. Ding, and M. Beck. , Algorithms for high performance, wide-area distributed file downloads. Parallel Processing Letters, 13(2):207-224, 2003.
14. K. Ranganathan and I. T. Foster. Simulation studies of computation and data scheduling algorithms for data grids. Journal of Grid Computing, 1(1):53-62, 2003.
15. R.Samanta, T. Funkhouser, and K. Li. Parallel rendering with k-way replication. In PVG '01: Proceedings of the IEEE 2001 symposium on parallel and large-data visualization and graphics, pages 75-84, Piscataway, NJ, USA, 2001.
16. L. Silva and R. Buyya. High Performance Cluster Computing: Programming and Applications, volume 2, chapter Parallel Programming Models and Paradigms. Prentice Hall, NJ, USA, 1999.
17. R. Wolski, N. T. Spring, and J. Hayes. The network weather service: a distributed resource performance forecasting service for metacomputing. Future Generation Computer Systems, 15(5-6):757-768, 1999.