By Topic

Towards Reliability and Fault-Tolerance of Distributed Stream Processing System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Gorawski, M. ; Silesian Univ. of Technol., Gliwice ; Marks, P.

Not so long ago data warehouses were used to process data sets loaded periodically. We could distinguish two kinds of ETL processes: full and incremental. Now we often have to process real-time data and analyse them almost on-the-fly, so the analysis are always up to date. There are many possible applications for real-time data warehouses. In most cases two features are important: delivering data to the warehouse as quick as possible, and not losing any tuple in case of failures. In this paper we propose an architecture for gathering and processing data from geographically distributed data sources. We present theoretical analysis, mathematical model of a data source, and some rules of system modules configuration. At the end of the paper our future plans are described briefly.

Published in:

Dependability of Computer Systems, 2007. DepCoS-RELCOMEX '07. 2nd International Conference on

Date of Conference:

14-16 June 2007