DocumentCode
3704193
Title
Issues in Complex Event Processing Systems
Author
Ioannis Flouris;Nikos Giatrakos;Minos Garofalakis;Antonios Deligiannakis
Volume
2
fYear
2015
Firstpage
241
Lastpage
246
Abstract
Many Big Data technologies were built to enable the processing of human generated data, setting aside the enormous amount of data generated from Machine-to-Machine (M2M) interactions. M2M interactions create real-time data streams that are much more structured, often in the form of series of event occurrences. In this paper, we provide an overview on the main research issues confronted by existing Complex Event Processing (CEP) techniques, as a starting point for Big Data applications that enable the monitoring of complex event occurrences in M2M interactions.
Keywords
"Big data","Optimization","Measurement","Event detection","Pattern matching","Computers","Memory management"
Publisher
ieee
Conference_Titel
Trustcom/BigDataSE/ISPA, 2015 IEEE
Type
conf
DOI
10.1109/Trustcom.2015.590
Filename
7345503
Link To Document