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http://hdl.handle.net/10609/109861
Title: A parallel grid-based implementation for real time processing of event log data in collaborative applications
Author: Xhafa, Fatos
Paniagua Macià, Claudi
Barolli, Leonard
Caballé Llobet, Santi  
Others: Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)
Keywords: computational grids
grid services
real-time applications
Issue Date: 30-Jun-2010
Publisher: International Journal of Web and Grid Services
Citation: Xhafa, F., Paniagua, C., Barolli, L. & Caballé, S. (2010). A Parallel Grid-based Implementation for Real Time Processing of Event Log Data in Collaborative Applications. International Journal of Web and Grid Services, 6(2), 124-140. doi: 10.1504/IJWGS.2010.033788
Project identifier: info:eu-repo/grantAgreement/257639
Also see: https://doi.org/10.1504/IJWGS.2010.033788
Abstract: Collaborative applications usually register user interaction in the form of semi-structured plain text event log data. Extracting and structuring of data is a prerequisite for later key processes such as the analysis of interactions, assessment of group activity, or the provision of awareness and feedback. Yet, in real situations of online collaborative activity, the processing of log data is usually done offline since structuring event log data is, in general, a computationally costly process and the amount of log data tends to be very large. Techniques to speed and scale up the structuring and processing of log data with minimal impact on the performance of the collaborative application are thus desirable to be able to process log data in real time. In this paper, we present a parallel grid-based implementation for processing in real time the event log data generated in collaborative applications. Our results show the feasibility of using grid middleware to speed and scale up the process of structuring and processing semi-structured event log data. The Grid prototype follows the Master-Worker (MW) paradigm. It is implemented using the Globus Toolkit (GT) and is tested on the Planetlab platform.
Language: English
URI: http://hdl.handle.net/10609/109861
ISSN: 1741-1106MIAR
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