Export 29 results:
Filters: Author is V. Matossian  [Clear All Filters]
2002
M. Kelaskar, Matossian, V., Mehra, P., Paul, D., Vaidhyanathan, A., and Parashar, M., A Study of Discovery Mechanisms For Peer-to-Peer Applications, Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid Workshop on Global and Peer-to-Peer on Large Scale Distributed Systems. Berlin, Germany, pp. 444-445, 2002.
2003
M. Agarwal, Bhat, V., Li, Z., Liu, H., Khargharia, B., Matossian, V., Putty, V., Schmidt, C., Zhang, G., Hariri, S., and Parashar, M., AutoMate: Enabling Autonomic Applications on the Grid, Proceedings of the Autonomic Computing Workshop, 5th Annual International Active Middleware Services Workshop (AMS2003). Seattle, WA, USA, pp. 48-57, 2003.
M. Agarwal, Bhat, V., Li, Z., Liu, H., Matossian, V., Putty, V., Schmidt, C., Zhang, G., and Parashar, M., AutoMate: Enabling Autonomic Grid Applications, Technical Report Number TR-269. 2003.
M. Agarwal, Bhat, V., Matossian, V., and Parashar, M., Autonomic and Interactive Data-Driven Simulations using Discover, Minisymposium on Electronic Fields of the Future: Mathematical and Computational Challenges. Austin, TX, USA, 2003.
V. Matossian, Autonomic Optimization of an Oil Reservoir using Decentralized Services, 1st International Workshop on Challenges for Large Applications in Distributed Environments (CLADE 2003). Seattle, WA, USA, 2003.
V. Matossian and Parashar, M., Autonomic Optimization of an Oil Reservoir using Decentralized Services, Proceedings of the 1st International Workshop on Heterogeneous and Adaptive Computing- Challenges for Large Applications in Distributed Environments (CLADE 2003). Seattle, WA, USA, pp. 2-9, 2003.
V. Matossian and Parashar, M., Autonomic Optimization of an Oil Reservoir using Decentralized Services, Proceedings of the 1st International Workshop on Heterogeneous and Adaptive Computing - Challenges for Large Applications in Distributed Environments (CLADE 2003). Seattle, WA, USA, pp. 2-9, 2003.
V. Matossian and Parashar, M., Enabling Peer-to-Peer Interactions for Scientific Applications on the Grid, in Proceedings of the 9th International Euro-Par Conference (Euro-Par), Klagenfurt, Austria, 2003, vol. 2790, pp. 1240-1247.
2004
M. Parashar, Klie, H., Catalyurek, U., Kurc, T., Matossian, V., Saltz, J., and Wheeler, M., Application of Grid-enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies, Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2004 (ICCS 2004). Krakow, Poland, 2004.
M. Parashar, Li, Z., Liu, H., Schmidt, C., Matossian, V., and Jiang, N., Autonomic Computing: Models, Architectures and Infrastructures, in Proceedings of the European Commission - US National Science Foundation Strategic Research Workshop on Unconventional Programming Paradigms: Challenges, Visions and Research Issues for New Programming Paradigms, Mont Saint-Michel, France, 2004, pp. 157-164.
V. Matossian, Parashar, M., Bangerth, W., Klie, H., and Wheeler, M. F., An Autonomic Reservoir Framework for the Stochastic Optimization of Well Placement, Cluster Computing: The Journal of Networks, Software Tools, and Applications. 2004.
N. Jiang, Schmidt, C., Matossian, V., and Parashar, M., Content-based Middleware for Decoupled Interactions in Pervasive Envionments, Technical Report Number-252. 2004.
N. Jiang, Schmidt, C., Matossian, V., and Parashar, M., Opportunistic Applications in Pervasive Environments, in 1st IEEE/ACM International Conference on Pervasive Services (ICPS 2004), Beirut, Lebanon, 2004.
V. Matossian, Parashar, M., Bangerth, W., Klie, H., and Wheeler, M. F., Parallel Well Location Optimization using Stochastic Algorithms on the Grid, in Proceedings of the 9th European Conference on the Mathematics of Oil Recovery - ECMOR IX, Cannes, France, 2004.
N. Jiang, Schmidt, C., Matossian, V., and Parashar, M., Project METEOR: A Content-based Middleware for Decoupled Interactions in Pervasive Environments, Wireless Information Network Laboratory (WINLAB), Rutgers University. 2004.
2005
M. Parashar, Klie, H., Catalyurek, U., Kurc, T., Matossian, V., Saltz, J., and Wheeler, M., Application of Grid-Enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies, Future Generation Computer Systems - The International Journal of Grid Computing: Theory, Methods and Applications, vol. 21. pp. 19-26, 2005.
V. Bhat, Matossian, V., Parashar, M., Peszynska, M., Sen, M., Stoffa, P., and Wheeler, M. F., Autonomic Oil Reservoir Optimization on the Grid, Concurrency and Computation: Practice and Experience, vol. 17. pp. 1-26, 2005.
W. Bangerth, Klie, H., Matossian, V., Parashar, M., and Wheeler, M. F., An Autonomic Reservoir Framework for the Stochastic Optimization of Well Placement, Cluster Computing: The Journal of Networks, Software Tools, and Applications, vol. 8. pp. 255-269, 2005.
M. Parashar, Li, Z., Liu, H., Matossian, V., and Schmidt, C., Enabling Autonomic Grid Applications: Requirements, Models and Infrastructures, in Self-Star 2004, Self-Star Properties in Complex Information Systems, Lecture Notes in Computer Science, vol. LNCS 3460, Springer Verlag, 2005, pp. 273-290.
M. Parashar, Matossian, V., Bangerth, W., Klie, H., Rutt, B., Kurc, T., Catalyurek, U., Saltz, J., and Wheeler, M., Towards Dynamic Data-Driven Optimization of Oil Well Placement, Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2005 (ICCS 2005), vol. 3514-3516. Springer Verlag, Atlanta, USA, pp. 656-663, 2005.
2006
M. Parashar, Liu, H., Li, Z., Matossian, V., Schmidt, C., Zhang, G., and Hariri, S., AutoMate: Enabling Autonomic Grid Applications, Cluster Computing: The Journal of Networks, Software Tools, and Applications, vol. 9, Issue 2, Special Issue on Autonomic Computing. pp. 161-174, 2006.
V. Matossian and Parashar, M., Grid Computing in the Digital Oil Field, Harts's E&P, vol. 79, no. No. 8, pp. 19-21, 2006.

Pages

The National Science Foundation DARPA Dept of the Navy Science and Technology Department of Energy Department of Homeland Security

Theme by Danetsoft and Danang Probo Sayekti inspired by Maksimer