Scientists make sense of data stream overload

A technique for making decisions based on a stream of data has been developed by researchers at Dartmouth College in the US.

A technique for making decisions based on a stream of data has been developed by researchers at Dartmouth College in the US.

One of the challenges facing IT today is how to make sense of a stream of data coming in from various IT systems simultaneously. The technique is known as event stream monitoring and is needed by applications that run multiple processes at the same time such as network and computer security.

Engineers George Cybenko and Vincent Berk believe they have found a way to identify which processes produce which events.

They have developed a process query system, analogous to a database management system, in which user queries are expressed as process descriptions.

Theoretically, by describing how processes change over time, this new kind of information retrieval technology should be able to achieve previously unknown levels of detection and correlation in environments too complex for conventional techniques.

 

More information:

Dartmouth College process query system overview

SOA could simplify exception handling

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