Real-time monitoring of uncertain data streams using probabilistic similarity

Proceedings - Real-Time Systems Symposium

Volumn , Issue , 2007, Pages 288-297

  Woo, Honguk ^a   Mok, Aloysius K ^a  

^a University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATA PROCESSING; DATABASE SYSTEMS; PROBABILITY; RIVERS; WAVE FILTERS;

COMMON PROBLEMS; DATA STREAMING; DATA UNCERTAINTIES; DATA-SIMILARITY; MONITORING ARCHITECTURE; NEW CONCEPT; PROBABILISTIC DATA; PROBABILISTIC MODELLING; REAL-TIME DATABASES; REAL-TIME MONITORING; RUN-TIME; SIMILARITY RELATIONS; UNCERTAIN DATA; USER-DEFINED CONSTRAINTS;

REAL TIME SYSTEMS;

EID: 48649086706     PISSN: 10528725     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RTSS.2007.29     Document Type: Conference Paper

References (21)

1. M. Amirijoo, N. Chaufette, J. Hansson, S. H. Son, and S. Gunnarsson. Generalized Performance Management of Multi-Class Real-Time Imprecise Data Services. In Proc. of IEEE Real-Time Systems Symposium(RTSS), pages 38-49, December 2005.
2. D. Chen and A. K. Mok. SRDE: Application of Data Similarity to Process Control. In Proc. of IEEE Real-Time Systems Symposium(RTSS), pages 136-145, December 1999.
3. R. Cheng, D. V. Kalashnikov, and S. Prabhakar. Evaluating Probabilistic Queries over Imprecise Data. In Proc. of the ACM SIGMOD International Conference on Management of Data, pages 551-562, 2003.
4. R. Cheng, B. Kao, S. Prabhakar, A. Kwan, and Y. Tu. Adaptive Stream Filters for Entity-based Queries with Non-value Tolerance. In Proc. of the International Conference on Very Large Data Bases(VLDB), pages 37-48, August 2005.
5. R. Cheng, Y. Xia, , S. Prabhakar, R. Shah, and J. S.Vitter. Efficient Indexing Methods for Probabilistic Threshold Queries over Uncertain Data. In Proc. of the International Conference on Very Large Data Bases(VLDB), pages 876-887, August 2004.
6. A. Deshpande, C. Guestrin, S. Madden, J. Hellerstein, and W. Hong. Model Driven Data Acquisition in Sensor Networks. In Proc. of the International Conference on Very Large Data Bases(VLDB), pages 588-599, 2004.
7. A. Deshpande and S. Madden. MauveDB: Supporting Model-based User Views in Database Systems. In Proc. of the ACM SIGMOD International Conference on Management of Data, pages 73-84, June 2006.
8. Q. Han and N. Venkatasubramanian. Addressing Timeliness/Accuracy/Cost Tradeoffs in Information Collection for Dynamic Environments. In Proc. of IEEE Real-Time Systems Symposium(RTSS), pages 108-117, December 2003.
9. S. Han, E. Chan, R. Cheng, and K.-Y. Lam. A statistics-based sensor selection scheme for continuous probabilistic queries in sensor networks. Real-Time Syst., 35(1):33-58, 2007.
10. HART Communication Foundation. WirelessHART Specification Released for Approval. www.hartcomm2.org.
11. H. Hu, J. Xu, and D. L. Lee. A Generic Framework for Monitoring Continuous Spatial Queries over Moving Objects. In Proc. of the ACM SIGMOD International Conference on Management of Data, pages 479-490, June 2005.
12. A. Jain, E. Y. Chang, and Y. F. Wang. Adaptive Stream Resource Management using Kalman Filters. In Proc. of the ACMSIGMOD International Conference on Management of Data, pages 11-22, June 2004.
13. T. W. Kuo and A. K. Mok. Real-Time Data Semantics and Similarity-Based Concurrency Control. IEEE Transactions on Computers, 49(11):1241-1254, 2000.
14. R. Majumdar, K. M. Moudgalya, and K. Ramamritham. Adaptive Coherency Maintenance Techniques for Time-Varying Data. In Proc. of IEEE Real-Time Systems Symposium(RTSS), pages 98-107, December 2003.
15. R. Majumdar, K. Ramamritham, R. Banavar, and K. Moudgalya. Disseminating Dynamic Data with QoS Guarantee in a Wide Area Network: A Practical Control Theoretic Approach. In Proc. of Real-Time Technology and Applications Symposium(RTAS), pages 510-517, May 2004.
16. C. Olston, J. Jiang, and J. Widom. Adaptive Filters for Continuous Queries over Distributed Data Streams. In Proc. of the ACM SIGMOD International Conference on Management of Data, pages 563-574, June 2003.
17. C. Olston and J. Widom. Offering a Precision-Performance Tradeoff for Aggregation Queries over Replicated Data. In Proc. of the International Conference on Very Large Data Bases(VLDB), pages 144-155, September 2000.
18. S. Prabhakar, X. Xia, D. V. Kalashnikov, W. G. Aref, and S. E. Hambrusch. Query Indexing and Velocity Constrained Indexing: Scalable Techniques for Continuous Queries on Moving Objects. IEEE Transactions on Computers, 51(10):1124-1140, 2002.
19. Y. Wei, V. Prasad, S. H. Son, and J. A. Stankovic. Prediction-Based QoS Management for Real-Time Data Streams. In Proc. of IEEE Real-Time Systems Symposium(RTSS), pages 344-355, December 2006.
20. H. Woo and A. K. Mok. Real-time Monitoring of Uncertain Data Streams using Probabilistic Similarity. Technical report, University of Texas at Austin, www.cs.utexas.edu/users/honguk, 2007.
21. H. Woo, A. K. Mok, and C.-G. Lee. A Generic Framework for Monitoring Timing Constraints over Uncertain Events. In Proc. of IEEE Real-Time Systems Symposium(RTSS), pages 435-444, December 2006.