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Award Abstract #0325013
ITR: Collaborative Research: A Data Mining and Exploration Middleware for Grid and Distributed Computing
| NSF Org: |
CCF
Division of Computer and Communication Foundations
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| Initial Amendment Date: |
October 30, 2003 |
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| Latest Amendment Date: |
March 13, 2007 |
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| Award Number: |
0325013 |
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| Award Instrument: |
Continuing grant |
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| Program Manager: |
Almadena Y. Chtchelkanova
CCF Division of Computer and Communication Foundations
CSE Directorate for Computer & Information Science & Engineering
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| Start Date: |
November 1, 2003 |
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| Expires: |
October 31, 2009 (Estimated) |
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| Awarded Amount to Date: |
$366000 |
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| Investigator(s): |
Robert Grossman grossman@uic.edu (Principal Investigator)
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| Sponsor: |
University of Illinois at Chicago
809 S MARSHFIELD RM 608
CHICAGO, IL 60612 312/996-9406
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| NSF Program(s): |
ITR MEDIUM (GROUP) GRANTS,
INFORMATION TECHNOLOGY RESEARC
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| Field Application(s): |
0000099 Other Applications NEC,
0000912 Computer Science
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| Program Reference Code(s): |
HPCC, 9251, 9216, 4080, 1652
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| Program Element Code(s): |
1687, 1640
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ABSTRACT
The purpose of this project is to develop and implement a middleware that allows mining and analysis of distributed data. The research will address an increasing interest in the exploration and mining of the large volume of data that is generated by the business, scientific, engineering, academic and defense communities.
Novel techniques will be developed in the following areas:
Data and Policy Management Services: These services will provide organizational level access restriction capabilities for the owners of the data while allowing users to access a more efficient transport of data.
Data Mining and Exploration Services: This framework will include a library of data mining tools that will work effectively for example if: data is distributed on multiple sites, the user has varying privileges depending on what site they are accessing, a user wants to trade off computing time versus accuracy or a user wants to access the site remotely.
Scheduling and Replication Services: System administration will be based upon policies at the participating organizations and their established privileges for users. Computation and data will be scheduled jointly to optimize metrics.
This combination of distributed computing and data mining will be made widely available to students, researchers, and other interested groups in government, industry and education.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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(Showing: 1 - 18 of 18)
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Chetan Gupta and Robert Grossma. "Multiscale Analysis of Data: Clusters, Outliers, and Noise - Preliminary Results," Second NASA Data Mining Workshop, Issues and Applications in Earth Sciences, May 22-24, 2006, v.., 2006, p. ..
Jorge Levera, Benjamin Barán, and Robert Grossman. "Experimental Studies Using Median Polish Procedures to Reduce Alarm Rates in Data Cubes of Intrusion Data," Intelligence and Security Informatics for National and Homeland Security, Hsinchun Chen, Reagan Moore, Daniel Zeng, John Jeavitt, editors, LNCS 3073, Springer Verlag, New York, 2004, p. 482.
Parthasarathy Krishnaswamy, Stephen G. Eick, Robert L Grossman. "Visual Browsing of Remote and Distributed Data," Proceedings of InfoVis 2004, IEEE Press, 2004, 2004, p. 12.
R.L. Grossman, Y. Gu, D. Hanley, X. Hong, and G. Rao. "Open DMIX - Data Integration and Exploration Services for Data Grids, Data Web and Knowledge Grid Applications," Proceedings of the First International Workshop on Knowledge Grid and Grid Intelligence (KGGI 2003), W. K. Cheung and Y. Ye, editors, 2003, p. 16.
Robert Grossman, Yunhong Gu, Xinwei Hong, Antony Antony, Johan Blom, Freek Dijkstra, and Cees de Laat. "Teraflows over Gigabit WANs with UDT," Journal of Future Computer Systems, Elsevier Press, v.21, 2005, p. 501.
Robert L Grossman and Yunhong Gu. "Data Mining Using High Performance Clouds: Experimental Studies Using Sector and Sphere," Proceedings of The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 08), 2008.
Robert L. Grossman, Michal Sabala, Javid Alimohideen, Anushka Aanand, John Chaves, John Dillenburg, Steve Eick, Jason Leigh, Peter Nelson, Mike Papka, Doug Rorem, Rick Stevens, Steve Vejcik, Leland Wilkinson, and Pei Zhang. "Real Time Change Detection and Alerts from Highway Traffic Data," ACM/IEEE SC 2005 Conference (SC'05, v.., 2005, p. ..
Robert L. Grossman, Yunhong Gu, Chetan Gupta, David Hanley, Xinwei Hong, and Parthasarathy Krishnaswamy. "Open DMIX: High Performance Web Services for Distributed Data Mining," 7th International Workshop on High Performance and Distributed Mining, in association with the Fourth International SIAM Conference on Data Mining, 2004, p. ,.
Robert L. Grossman, Yunhong Gu, Dave Hanley, Xinwei Hong,and Parthasarathy Krishnaswamy. "Experimental Studies of Data Transport and Data Access of Earth Science Data over Networks with High Bandwidth Delay Products," Computer Networks, v.46, 411, p. 2004.
Robert L. Grossman, Yunhong Gu, David Handley, and Michal Sabala Joe Mambretti, Alex Szalay and Ani Thakar, Kazumi Kumazoe and Oie Yuji, Minsun Lee, Yoonjoo Kwon, and Woojin Seok. "Data Mining Middleware for Wide Area High Performance Network," Journal of Future Generation Computer Systems (FGCS), v.22, 2006, p. 940.
Robert L. Grossman, Yunhong Gu, David Hanley, and Xinwei Hong. "Experimental Studies of Transport, Integration, and Mining of Distributed Network Intrusion Data Using High Performance Web Services," SC 04 Poster Presentation, 2004, p. ,.
Yong Mao, Yunhong Gu, Jia Chen and Robert L. Grossman. "SDCS: Simplified Data Communications in Parallel/Distributed Applications," IEEE International Symposium on Cluster Computing and the Grid (CCGrid06), 2006, p. 292.
Yong Mao, Yunhong Gu, Jia Chen, and Robert L. Grossman. "FastPara: A High-Level Declarative Data-Parallel Programming Framework on Clusters," Parallel and Distributed Computing and Systems, 2006.
Yunhong Gu and Robert L. Grossman. "Optimizing UDP-Based Protocol Implementations," Proceedings of the Third International Workshop on Protocols for Fast Long-Distance Networks PFLDnet 2005, 2005, p. ..
Yunhong Gu and Robert L. Grossman. "UDT: UDP-based Data Transfer for High-Speed Wide Area Networks," Computer Networks, v.51, 2007, p. 1777.
Yunhong Gu, Robert L. Grossman, Alex Szalay, and Ani Thakar. "Distributing the Sloan Digital Sky Survey Using UDT and Sector," Proceedings of e-Science 2006, 2006.
Yunhong Gu, Robert L. Grossman, and Joe Mambretti. "A Peer-to-Peer Infrastructure for Distributing Large Scientific Data Sets over Wide Area High-Performance Networks: Experimental Studies Using Wide Area Layer 2 Services," Proceedings of the First International Conference on Networks for Grid Applications (GridNets 2007), 2007.
Yunhong Gu, Xinwei Hong, and Robert Grossman. "Experiences in Design and Implementation of a High Performance Transport Protocol," Proceedings of Supercomputing 2004, Nov 6 - 12, Pittsburgh, PA, 2004, p. ..
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