Adaptive polling of grid resource monitors using a slacker coherence model

Proceedings of the IEEE International Symposium on High Performance Distributed Computing

Volumn 2003-January, Issue , 2003, Pages 260-269

  Sundaresan, R ^a   Lauria, M ^a   Kurc, T ^a   Parthasarathy, S ^a   Saltz, J ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

Availability; Biomedical computing; Biomedical monitoring; Coherence; Distributed computing; Grid computing; Protocols; Scalability; Subcontracting; Weather forecasting

Indexed keywords

AVAILABILITY; COHERENT LIGHT; DISTRIBUTED COMPUTER SYSTEMS; ECONOMIC AND SOCIAL EFFECTS; NETWORK PROTOCOLS; SCALABILITY; WEATHER FORECASTING;

BIOMEDICAL COMPUTING; BIOMEDICAL MONITORING; COMPUTATIONAL GRIDS; DISTRIBUTED ENVIRONMENTS; MONITORING SYSTEM; RESOURCE AVAILABILITY; RESOURCE USAGE PATTERNS; SUBCONTRACTING;

GRID COMPUTING;

EID: 56049094009     PISSN: 10828907     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HPDC.2003.1210035     Document Type: Conference Paper

References (12)

1. DBLP, http://dblp.uni-trier.de. An Infrastructure for Monitoring and Management in Computational Grids, volume 1915 of Lecture Notes in Computer Science. Springer, may 2000.
2. P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. J. Shenoy. Adaptive push-pull: disseminating dynamic web data. In World Wide Web, pages 265-274, 2001.
3. S. Fitzgerald, I. Foster, C. Kesselman, G. von Laszewski, W. Smith, and S. Tuecke. A Directory Service for Configuring High-Performance Distributed Computations. In Proceedings of the 6th IEEE Symposium on High-Performance Distributed Computing, pages 365-375, 5-8 Aug. 1997.
4. A. Ninan, P. Kulkarni, P. Shenoy, K. Ramamritham, and R. Tewari. Scalable consistency maintenance for content distribution networks. Technical report, University of Massachusetts, Amherst, 2001.
5. S. Parthasarathy and S. Dwarkadas. Shared state for distributed interactive data mining applications. The International Journal on Distributed and Parallel Databases, March 2002. An earlier version appeared in the SIAM international conference on Data Mining 2001.
6. S. Shah, K. Ramamritham, and P. Shenoy. Maintaining coherency of dynamic data in cooperating repositories. InProceedings of 28th International Conference on Very Large Data Bases (VLDB 2002), Aug. 2002.
7. R. Sundaresan, T. Kurc, M. Lauria, S. Parthasarathy, and J. Saltz. A slacker coherence protocol for pull-based monitoring of on-line data sources. In Proceedings of the CCGrid 2003 Conference, May 2003.
8. B. Tierney, R. Aydt, D. Gunter, W. Smith, V. Taylor, R. Wolski, and M. Swany. A grid monitoring architecture, 2002.
9. B. Tierney, B. Crowley, D. Gunter, M. Holding, J. Lee, and M. Thompson. A monitoring sensor management system for grid environments. In HPDC, pages 97-104, 2000.
10. R. Wolski. Dynamically forecasting network performance using the network weather service. Cluster Computing, 1(1):119-132, 1998.
11. 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.
12. Y. Zhuge, H. Garcia-Molina, and J. L. Wiener. Consistency algorithms for multi-source warehouse view maintenance. Journal of Distributed and Parallel Databases, 6(1):7-40, 1998.