ACM Transactions on Graphics (TOG)
Empirically derived analytic models of wide-area TCP connections
IEEE/ACM Transactions on Networking (TON)
Internet Web servers: workload characterization and performance implications
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Analysis of educational media server workloads
NOSSDAV '01 Proceedings of the 11th international workshop on Network and operating systems support for digital audio and video
Modelling user behaviour in networked games
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Measuring thin-client performance using slow-motion benchmarking
ACM Transactions on Computer Systems (TOCS)
Measurement, modeling, and analysis of a peer-to-peer file-sharing workload
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Characterization of user behavior in a multi-player online game
Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology
Measurement and analysis of a streaming-media workload
USITS'01 Proceedings of the 3rd conference on USENIX Symposium on Internet Technologies and Systems - Volume 3
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Owing to a great expansion of broadband network access in recent years, the collaborative graphical desktop sharing systems (GDSS) have gained a considerable popularity and denote a non-negligible amount of data in today's internet traffic. Much research has been focusing on characterization of traffic load from different types of internet applications (such as Web, VoIP, Video streaming and Peer-to-Peer), while the remote desktop protocols have attracted very little attention, despite the fact that they belong to a group of real-time applications with very strict quality of service requirements. As with other complex interactive applications, a good understanding of user behavior workload is important to the design of GDSS systems. In this paper, we present characterization of user behavior workload for GDSS arrival process and develop models for interarrival time of user's sessions and the session duration. Our results not only provide an insight into users' activities and behavior to the collaborative virtual environments research community but they are also useful in the development of synthetic workloads in performance studies of GDSS systems.