Int. J. of Big Data Intelligence   »   2014 Vol.1, No.1/2

 

 

Title: D-CEP4CMA: a dynamic architecture for cloud performance monitoring and analysis via complex event processing

 

Authors: Afef Mdhaffar; Riadh Ben Halima; Mohamed Jmaiel; Bernd Freisleben

 

Addresses:
Department of Mathematics and Computer Science, University of Marburg, Hans-Meerwein-Str. 3, D-35032 Marburg, Germany; ReDCAD Laboratory, National School of Engineers of Sfax, University of Sfax, B.P. 1173, 3038 Sfax, Tunisia
ReDCAD Laboratory, National School of Engineers of Sfax, University of Sfax, B.P. 1173, 3038 Sfax, Tunisia
ReDCAD Laboratory, National School of Engineers of Sfax, University of Sfax, B.P. 1173, 3038 Sfax, Tunisia
Department of Mathematics and Computer Science, University of Marburg, Hans-Meerwein-Str. 3, D-35032 Marburg, Germany

 

Abstract: This paper presents a dynamic monitoring and analysis architecture for Cloud computing environments. It collects and analyses Cloud parameters to detect performance degradations. The proposed dynamic architecture, called D-CEP4CMA, is based on the methodology of complex event processing (CEP). It is designed to dynamically switch between different centralised and distributed CEP architectures depending on the load/memory of the CEP machine and network traffic conditions in the observed cloud environment. Experimental results demonstrate the efficiency of D-CEP4CMA and its performance in terms of precision and recall in comparison to centralised and distributed CEP architectures.

 

Keywords: cloud computing; complex event processing; CEP; performance analysis; dynamic architecture; big data intelligence; cloud performance; performance monitoring.

 

DOI: 10.1504/IJBDI.2014.063842

 

Int. J. of Big Data Intelligence, 2014 Vol.1, No.1/2, pp.89 - 102

 

Submission date: 25 Nov 2013
Date of acceptance: 20 Mar 2014
Available online: 23 Jul 2014

 

 

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