Data management in the worldwide sensor web

IEEE Pervasive Computing

Volumn 6, Issue 2, 2007, Pages 30-40

  Balazinska, Magdalena ^a,j   Deshpande, Amol ^b   Franklin, Michael J ^c,k   Gibbons, Phillip B ^d   Gray, Jim ^e   Nath, Suman ^e   Hansen, Mark ^f   Liebhold, Michael ^g   Szalay, Alexander ^h   Tao, Vincent ^i,l  

^a UNIVERSITY OF WASHINGTON   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d INTEL CORPORATION   (United States)

^e MICROSOFT RESEARCH   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

^g Institute for the Future   (United States)

^h JOHNS HOPKINS UNIVERSITY   (United States)

ⁱ MICROSOFT   (United States)

^j University of Washington   (United States)

^k UNIVERSITY OF CALIFORNIA   (United States)

^l Intel Research Pittsburgh ^*  (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ACTUATION LOGICS; DATA UNCERTAINTY; TEMPORAL AGGREGATION;

COMPUTATIONAL COMPLEXITY; DATABASE SYSTEMS; ENCODING (SYMBOLS); PROBABILITY; PROBLEM SOLVING; SENSOR DATA FUSION; WORLD WIDE WEB;

MANAGEMENT INFORMATION SYSTEMS;

EID: 34247379060     PISSN: 15361268     EISSN: None     Source Type: Journal    
DOI: 10.1109/MPRV.2007.27     Document Type: Article

References (20)

1. A. Szalay and J. Gray, "Science in an Expo- nential World," Nature, vol. 440, no. 7083, 2006, pp. 413-414.
2. S. Sarawagi, S. Thomas, and R. Agrawal, "Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications," Proc. 1998 ACM SIGMOD Int'l Cof. Management of Data, ACM Press, 1998, pp. 343-354.
3. A. Deshpande and S. Madden, "MauveDB: Supporting Model-Based User Views in Database Systems," Proc. 2006 ACM SIGMOD Int'l Conf, Management of Data, ACM Press, 2006, pp. 73-84.
4. S. Grumbach, P. Rigaux, and L. Segoufin, "Manipulating Interpolated Data Is Easier than You Thought," Proc. 26th Int'l Conf. Very Large Data Bases (VLDB 00), Mor- gan Kaufmann, 2000, pp. 156-165.
5. S. Chaudhuri, V. Narasayya, and S. Sarawagi, "Efficient Evaluation of Queries with Mining Predicates," Proc. 18th Int'l Conf. Data Eng. (ICDE 02), IEEE CS Press, 2002, pp. 529-542.
6. M.J. Egenhofer, "Toward the Semantic Geospatial Web," Proc. 10th ACM Int'l Symp. Advances in Geographic Informa- tion Systems (G1S 02), ACM Press, 2002, pp. 1-4.
7. C.V. Tao, "The Smart Sensor Web," Geo- World, Sept. 2003, pp. 28-32.
8. C.V. Tao, S. Liang, and A. Croitoru, "GeoServNet SensorWeb: A Tool for Open Geospatial Sensing Services," GeoSensor Networks, A. Stefanidis and S. Nittel, eds., CRC Press, 2004, pp. 267-274.
9. I. Stoica et al., "Chord: A Scalable Peer-to- Peer Lookup Service for Internet Applica- tions," Proc. ACM SIGCOMM 2001, ACM Press, 2001, pp. 149-160; www.sigcomm.org/sigcomm2001/p12-stoica.pdf
10. R. Huebsch et al., "The Architecture of PIER: An Internet-Scale Query Processor," Proc. 2nd Biennial Conf. Innovative Data Systems Research (CIDR 05), 2005, pp. 28-43; http://www-db.cs.wisc.edu/cidr
11. A. Deshpande et al., "Cache-and-Query for Wide Area Sensor Databases," Proc. 2003 ACM SIGMOD Int'l Conf. Management of Data, ACM Press, 2003, pp. 503-514.
12. M. Cherniack et al, "Scalable Distributed Stream Processing," Proc. 1st Biennial Conf. Innovative Data Systems Research (CIDR 03), 2003, pp. 257-268; http://www-db.cs.wisc.edu/cidr
13. D.J. Abadi et al., "The Design of the Bore- alis Stream Processing Engine," Proc. 2nd Biennial Conf. Innovative Data Systems Research (CIDR 05), 2005; http://www-db.cs.wisc.edu/cidr
14. S. Chandrasekaran et al., "TelegraphCQ: Continuous Dataflow Processing for an Uncertain World," Proc. 1st Biennial Conf. Innovative Data Systems Research (CIDR 03), 2003, pp. 269-280; http://www-db.cs.wisc. edu/cidr
15. M.J. Franklin et al., "Design Considerations for High Fan-In Systems: The HiFi Ap- proach," Proc. 2nd Biennial Conf. Inno- vative Data Systems Research (CIDR 05), 2005; http://www-db.cs.wisc.edu/cidr
16. H. Chan and A. Perrig, "Security and Pri- vacy in Sensor Networks," Computer, vol. 36, no. 10, 2003, pp. 103-105.
17. R. Agrawal et al., "Hippocratic Databases," Proc. 28th Int'l Conf. Very Large Data Bases (VLDB 02), Morgan Kaufmann, 2002, pp. 143-154.
18. J. Kubiatowicz et al., "OceanStore: An Architecture for Global-Scale Persistent Storage," Proc. 9th Int'l Conf. Architectural Support for Programming Languages and Operating Systems (ASPLOS IX), ACM Press, 2000, pp. 190-201.
19. R. Agrawal and R. Srikant, "Privacy-Pre- serving Data Mining," ACM. SIGMOD Record, vol. 29, no. 2, 2000, pp. 439-450; http://doi.acm.org/10.1145/335191.335438.
20. P. Samarati and L. Sweeney, Protecting Pri- vacy When Disclosing Information: k- Anonymity and Its Enforcement through Generalization and Suppression, tech. report SRI-CSL-98-04, Computer Science Laboratory, SRI Int'l, 1998; www.csl.sri.com/papers/sritr-98-04