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Group D

Group D. New Environments and Data Management System Issues. Mission Statement. Determine how information systems can exploit and operate in a computing environment that is increasingly interconnected, distributed, heterogeneous and dynamic. Big ‘n’ Wide. Large number of entities, wide area

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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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