| Project/Area Number |
12480095
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
情報システム学(含情報図書館学)
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| Research Institution | Osaka University |
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Principal Investigator |
TSUKAMOTO Masahiko Osaka University, Information Systems Engineering, Associate Professor, 大学院・工学研究科, 助教授 (60273588)
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| Co-Investigator(Kenkyū-buntansha) |
HARA Takahiro Osaka University, Information Systems Engineering, Research Associate, 大学院・工学研究科, 助手 (20294043)
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| Project Period (FY) |
2000 – 2001
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| Project Status |
Completed (Fiscal Year 2001)
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| Budget Amount *help |
¥6,200,000 (Direct Cost: ¥6,200,000)
Fiscal Year 2001: ¥2,400,000 (Direct Cost: ¥2,400,000)
Fiscal Year 2000: ¥3,800,000 (Direct Cost: ¥3,800,000)
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| Keywords | Digital Broadcast / Push-Based Delivery / Data Correlation / Scheduling Strategy / Caching Strategy / Broadcast Filtering |
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| Research Abstract |
In this research project, we have made several studies on fundamental technologies for sending and receiving broadcast data efficiently in the digital broadcast environments. The main achievements in our studies are as follows :
First, we have focused our studies in the scheduling and the caching strategies of correlated broadcast data items in the push-based information systems. In a real world broadcast environment, clients often requests for correlated data items collectively. Thus, we have proposed several scheduling strategies to compose a broadcast program considering the subsequent requests. The proposed caching strategy replaces the cached data items at each client based on the degree of correlation and the remaining time for the subsequent broadcast item.
Second, we have achieved a methodology to extract the intended data efficiently from a large volume of broadcast data. The methodology includes a mathematical foundation for filtering intended data from the receiving broadcast
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data. In the methodology, we have made careful consideration for the functional properties in filtering and the relationships among the filtering functions. The methodology also includes a mechanism to insert and delete a received data item based on the pre-defined ECA rules in the active database systems.
Third focusing on the applications in which a server broadcasts continuous media data such as video and sound, we have proposed an effective scheduling method of a broadcast program. This method ensures the continuous replay of the broadcast data at each client, and also shortens the waiting time.
Our ultimate goal was to integrate all of the above findings in a real system and to evaluate them on a practical platform. We regretfully could not achieve this aim due to time limitation. However, each of the above findings has received high appraisals in several international journals and conferences. We believe that these achievements are contributing to the advancement of fundamental technologies in the digital broadcast environments. Less
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