2026-04-13T07:17:54Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/1267052026-01-30T08:15:25Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Xhafa Xhafa, Fatos author Paniagua, Claudi author Barolli, Leonard author Caballé Llobet, Santiago author 2010 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. Peer Reviewed Postprint (author's final draft) Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors Parallel processing (Electronic computers) Groupware (Computer software) Computational grids (Computer systems) Grid services Real-time applications Parallel grid Event log data Collaboration Online collaborative activity Grid middleware Processament en paral·lel (Ordinadors) Programaris de grup Computació distribuïda A parallel grid-based implementation for real-time processing of event log data of collaborative applications