
NSF Org: |
IIS Division of Information & Intelligent Systems |
Recipient: |
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Initial Amendment Date: | February 28, 2006 |
Latest Amendment Date: | February 26, 2010 |
Award Number: | 0534531 |
Award Instrument: | Continuing Grant |
Program Manager: |
Gia-Loi Le Gruenwald
IIS Division of Information & Intelligent Systems CSE Directorate for Computer and Information Science and Engineering |
Start Date: | March 1, 2006 |
End Date: | February 28, 2011 (Estimated) |
Total Intended Award Amount: | $0.00 |
Total Awarded Amount to Date: | $516,000.00 |
Funds Obligated to Date: |
FY 2009 = $16,000.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
4200 FIFTH AVENUE PITTSBURGH PA US 15260-0001 (412)624-7400 |
Sponsor Congressional District: |
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Primary Place of Performance: |
4200 FIFTH AVENUE PITTSBURGH PA US 15260-0001 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
Info Integration & Informatics, DATA MANAGEMENT SYSTEMS |
Primary Program Source: |
01000910DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.070 |
ABSTRACT
IIS-0534531
Panos K. Chrysanthis
University of Pittsburgh
Algorithms and Metrics for New Generation Data Stream Management Systems
The goal of this project is to design a new generation of data stream management systems (DSMSs), with equal emphasis on optimizing performance and enhancing functionality. New generation DSMSs simplify the development of a wide range of monitoring applications, with diverse requirements. Monitoring applications are core components in scientific exploration, health alerting, environmental monitoring, and business support systems. This project reexamines all four critical components of a DSMS: query scheduler, load shedder, query processor, and data dissemination modules. The two key innovations of this project are: (1) it looks at how these four modules can be integrated to work in combination, instead of making in isolation decisions that have a significant impact on the overall performance; and (2) this project formalizes QoS/QoD metrics for DSMSs
and develops algorithms designed to optimize these metrics. In addition, the project plans include the analytical and experimental evaluation of the proposed algorithms and also the implementation and evaluation of a prototype system. This project provides opportunities for both graduate and undergraduate students to participate in the development of cutting edge technology. Results of this research, including software, data, and publications, will be disseminated via the project Web site at http://db.cs.pitt.edu/streams
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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