| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | September 23, 2009 |
| Latest Amendment Date: | September 23, 2009 |
| Award Number: | 0855251 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Vijayalakshmi Atluri
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | October 1, 2009 |
| End Date: | September 30, 2012 (Estimated) |
| Total Intended Award Amount: | $164,678.00 |
| Total Awarded Amount to Date: | $164,678.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
321-A INGRAM HALL AUBURN AL US 36849-0001 (334)844-4438 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
321-A INGRAM HALL AUBURN AL US 36849-0001 |
| 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): | CCRI-CISE Cmnty Rsrch Infrstrc |
| Primary Program Source: |
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| 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
This project is building a scalable mobile computing emulation infrastructure named ScalableSQ. With the popularity of mobile computing, there is an increasing need to allow mobile users to access data and process queries ubiquitously through their mobile devices. In the past decade, research efforts have been investigateing spatial query processing and pervasive data airing in mobile computing environments. However, the research issues on scalable data dissemination and efficient spatial query processing for supporting large-scale mobile computing systems have not been well explored. The main objective of this project is to design and develop a scalable data dissemination and query evaluation infrastructure for querying, indexing, and routing datasets to support novel mobile applications. Specific research challenges being addressed include design of highly scalable spatial query evaluation mechanisms, broadcast channel access bounds to speed on-air data accesses, effective memory management strategies to reduce access latency and tuning time, and novel request routing techniques to facilitate data sharing based query processing.
In addition to research, this project also benefits education by providing hands-on experience in mobile computing through the ScalableSQ infrastructure to both undergraduate and graduate students. Furthermore, the PIs will organize workshops at Tuskegee University (an HBCU) and collaborate with industrial partners to disseminate new discoveries from this project as the outreach component. The results of this project will be disseminated as research papers and as freely available tools in the project website at http://www.eng.auburn.edu/~weishinn/ScalableSQ.html.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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