The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
Models and issues in data stream systems
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Processing flows of information: From data stream to complex event processing
ACM Computing Surveys (CSUR)
Knowledge-based processing of complex stock market events
Proceedings of the 15th International Conference on Extending Database Technology
A game system for remote rehabilitation of cerebral palsy patients
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
Model driven software development: a practitioner takes stock and looks into future
ECMFA'13 Proceedings of the 9th European conference on Modelling Foundations and Applications
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An increasing number of distributed applications requires processing continuously flowing data from geographically distributed sources at unpredictable rate to obtain timely responses to complex queries. Examples of such applications come from the most disparate fields: from wireless sensor networks to financial tickers, from traffic management to click stream inspection. These requirements led to the development of a number of systems specifically designed to process information as a flow according to a set of pre-deployed processing rules. We collectively call them Information Flow Processing (IFP) Systems. Despite having a common goal, IFP systems differ in a wide range of aspects, including architectures, data models, rule languages, and processing mechanisms. In this tutorial we draw a general framework to analyze and compare the results achieved so far in the area of IFP systems. This allows us to offer a systematic overview of the topic, favoring the communication between different communities, and highlighting a number of open issue that still need to be addressed in research.