Changes between Version 110 and Version 111 of GEC22Agenda/EveningDemoSession

Timestamp:

03/12/15 15:49:08 (9 years ago)

Author:

lnevers@bbn.com

Comment:

--

GEC22Agenda/EveningDemoSession

@@ -539 +539 @@
 Complex event processing (CEP) combines data from multiple sources to infer events or patterns that might suggest more complicated circumstances. Often, CEP is performed on aggregations of pseudo real-time data streams. Source data streams are often manipulated and serve as additional data sources. This tool aims to provide users the ability to experiment with CEP without requiring requiring software development by the end-user. 
 
+The basis of our work is related to GENI resource monitoring, which includes collecting and recording metrics from the infrastructure that makes up the GENI network.  Typically data collection and monitoring frameworks are both limited in the scale of their data collection and the complexity of reporting and alerting on collected data.
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+Our work aims to create a scalable system capable of collecting metrics from globally distributed resources.  In addition, have developed a highly scalable complex event processing (CEP) platform capable of processing general data streams.  As data streams through this system it is recorded as time-series data-points in a distributed database capable of storing billions of metrics.  Time series data is then used to model new real-time events.   
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+Simply, if real-world complex events can be both observed and described in a query language, we can react to these events in real-time.  The collection of metrics over time can be correlated with undetected events to develop more accurate event models.
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+This capabilities of this system would be of interest to those working in large distributed systems such as those participating in large sensor networks, market trading, resource utilization prediction, systems optimization, etc.    
+
 Participants:
  * Vernon C Bumgardner, cody@uky.edu, University of Kentucky