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Group D

Explore cutting-edge data management systems for modern computing environments. Addressing interconnected, distributed, heterogeneous, and dynamic systems, this research delves into various aspects of data handling, storage, and access methods. Discover smart databases, no-fuss data management solutions, and cradle-to-grave data handling concepts that aim to streamline operations, enhance efficiency, and reduce costs.

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Group D

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  1. Group D New Environments and Data Management System Issues

  2. Mission Statement • Determine how information systems can exploit and operate in a computing environment that is increasingly interconnected, distributed, heterogeneous and dynamic. NSF IDM 98, Group D

  3. Big ‘n’ Wide • Large number of entities, wide area • many rules, distributed events • 100s of DBs interoperating at a company • #’s of clients - bring your own cycles • middleware • workflows across autonomous systems • wide area consistency management NSF IDM 98, Group D

  4. Smart Shopper DB • Cost and Quality conscious • Tradeoffs on latency, concurrency, correctness, completeness, resource usage (including user time). NSF IDM 98, Group D

  5. The database that never forgets • Personal/group archive: • Data live-ness: media rollover • Multi-schema support • Locating data NSF IDM 98, Group D

  6. No-fuss data management • Rich set of choices for physical organization and access methods; have to spoon-feed databases; have to manage data after extraction • Automated tuning • Reorganization tools • System configuration + reconfiguration • Easy in and out Reduce cost ($+m) of database ownership NSF IDM 98, Group D

  7. Cradle-to-grave data management • Really conception-to-grave, data is never “outside” the database • Direct capture instead of store+load • Necessary to do provenance • OS knows about all processing, why not DB knows about all data NSF IDM 98, Group D

  8. Data logistics • Tend to view DB as a static thing, but the value of data is only realized when it moves • Data product manufacturing • Adaptive dissemination • Value-added brokering, reselling, pressing • Zero latency, instant data • Variable infrastructure • Push and broadcast NSF IDM 98, Group D

  9. All the data all the time • Can reach every piece of data from every place • Never-fail • Connectivity • Media conversion NSF IDM 98, Group D

  10. Spare Slogans • Data addiction/data mainlining • Knowledge Systems DB • We put you in the driver’s seat: interactive query formulation and answering. NSF IDM 98, Group D

  11. Application-aware information management • Database takes responsibility for application characteristics • Knows about end-to-end performance • Knows about quality requirements and can negotiate trade-offs • Fast wrong answers • Event detection • Aware of user interface • Improves application characteristics – recovery • Application models (equivalent of schemas) that lead to automated management NSF IDM 98, Group D

  12. Applications • International criminal DB • All the data all the time • Telecommunications • Zero latency • Workflows across autonomous systems • wide are consistency management • Medicine, Digital Patient • Immediate collection of trauma, emergency data, more patient records, data capture, data staging • Virtual enterprise, personal department store • Information commerce • Digital globe • Producer side: Earth representation, 1m, 1pixel = 1 byte, ¾ ocean, fixed 10PB and EOS generates 4TB a day • Consumer side: 40M kids, 100 images, 800PB delivered each day • Digital city presented at the PI meeting. NSF IDM 98, Group D

  13. Modes of Research • DB/Medical informatics collaborations • Intra-CS collaborations • OS, Distributed Systems, Networks, Languages, Software Architecture • Counteracting conservatism among reviewers • Speculative studies in context of initiative • Extracting industry experience • Developer/Academic workshops NSF IDM 98, Group D

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