Distributed event processing for activity recognition

2011 ◽  
Author(s):  
Visalakshmi Suresh ◽  
Paul Ezhilchelvan ◽  
Paul Watson ◽  
Cuong Pham ◽  
Dan Jackson ◽  
...  
Keyword(s):  
Activity Recognition ◽  
Event Processing ◽  
Distributed Event Processing

StreamMine

2010 ◽  
pp. 260-283
Author(s):  
Christof Fetzer ◽  
Andrey Brito ◽  
Robert Fach ◽  
Zbigniew Jerzak
Keyword(s):  
Transactional Memory ◽  
Processing System ◽  
Speculative Execution ◽  
Event Processing ◽  
Software Transactional Memory ◽  
Time Stamp ◽  
Ordering Constraints ◽  
Large Clusters ◽  
Application Specific ◽  
Distributed Event Processing

StreamMine is a novel distributed event processing system that we are currently developing. It is architected for running on large clusters and uses content-based publish/subscribe middleware for the communication between event processing components. Event processing components need to enforce application-specific ordering constraints, e.g., all events need to be processed in order of some given time stamp. To harness the power of modern multi-core computers, we support the speculative execution of events. Ordering conflicts are detected dynamically and rolled backed using a Software Transactional Memory.

Accurate latency estimation in a distributed event processing system

2011 ◽  
Author(s):  
Badrish Chandramouli ◽  
Jonathan Goldstein ◽  
Roger Barga ◽  
Mirek Riedewald ◽  
Ivo Santos
Keyword(s):  
Processing System ◽  
Event Processing ◽  
Distributed Event Processing
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