Part of the Advances in Database Systems book series (ADBS, volume 36)

What is an effective architecture for situation monitoring applications? How do we progress towards a exible, composable architecture for analyzing large volumes of data? These questions certainly need to be answered as we move towards pervasive devices and just-in-time monitoring requirements. The amount of data that will be generated, and hence need to be processed is only going to increase dramatically as the technology improves. Application requirements will grow to include distributed data handling, handling of errors, privacy issues, security as well as collaboration/cooperation among applications. Filtering, fusion, aggregation, and correlation (to name a few) will become preferred mechanisms for dealing with vast amounts of disparate raw data to extract nuggets meaningful and useful knowledge.


Admission Control Event Processing Stream Processing Query Plan Continuous Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag US 2009

Authors and Affiliations

  1. 1.Department of Computer Science & EngineeringUniversity of Texas at ArlingtonArlingtonUSA
  2. 2.Oracle CorporationRedwood ShoresUSA

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