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Monitoring Streams (Run-Time Operation (Load Shedding (2 problems ((1)…
Monitoring Streams
Run-Time Operation
QoS Data Structure
Storage Management
Real-Time Scheduling
Introspection
Load Shedding
approach
naive approach (dropping tuples at random points in the network in an entirely uncontrolled manner)
2 problems
(1) overall system utility might be degraded more than necessary
(2) application semantics might be arbitrarily affected
Alleviating these problems by relying on QoS information
(1) Load shedding by Dropping Tuples
(2) Semantic Load Shedding by Filtering Tuples
Abstract: A system supports for realtime operation included:
Basic system architecture
A stream-oriented set of operators
optimization tactics
Aurora System Model
Operators
Query Model
Graphical User Interface
Aurora Optimization
Dynamic Continuous Query Optimization
Ad-Hoc Query Optimization
Others
Implementation Status
Prototype implementation on June 2002 (Java-based GUI)
would be extended over the next few months after that
Conclusions and Future Work
Develop distributed architecture for Aurora
Extending the model to cope with missing and imprecise data