Group D

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.

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

4
Smart Shopper DB

• Cost and Quality conscious
• Tradeoffs on latency, concurrency, correctness,
  completeness, resource usage (including user
  time).

5
The database that never forgets

• Personal/group archive
• Data live-ness media rollover
• Multi-schema support
• Locating data

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

7
Cradle-to-grave data management

• Really conception-to-grave, data is never
  outside the database
  
• Direct capture instead of storeload
• Necessary to do provenance
• OS knows about all processing, why not DB knows
  about all data

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

9
All the data all the time

• Can reach every piece of data from every place
• Never-fail
• Connectivity
• Media conversion

10
Spare Slogans

• Data addiction/data mainlining
• Knowledge Systems DB
• We put you in the drivers seat interactive
  query formulation and answering.

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

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.

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