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Title: Scalable Collaboration Across Heterogeneous Devices in Virtual Organisations
Author: Hasan, Syed Mehmood-ul
ISNI:       0000 0001 3543 8393
Awarding Body: The University of Reading
Current Institution: University of Reading
Date of Award: 2006
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This thesis makes several primary and secondary contributions to the area of Collaborative Computing and Computer Supported Collaborative Work (CSCW). The most important contribution is the notion of facilitating collaboration in virtual organisations (Va) using heterogenous devices. The supported devices Orange from highly mobile handheld PDAs, desktop computers to advanced virtual reality environments, such as CAVE-like devices. ~his provides an inclusive environment which is conducive to effective collaboration between geographically distributed peers. Another major contribution made by the work presented here is the Multicast Application Sharing Tool (MAST), which is made available under General Public License (GPL). MAST is developed specifically for group collaboration, and provides a scalable and robust model for sharing of applications in a collaborative session. Participants are able to share arbitrary single user applications ranging from subject specific programs, such as molecular viewers to general office applications, such as powerpoint presentations. The important aspect of this work is the use of IP Multicast for data transmission, which allows greater scalability than the state of the art in this area. MAST has been developed for PDAs, desktop computers as well as virtual reality systems. This enables sharing of material between peers using heterogeneous devices. MAST is developed as a standalone tool but can be integrated with other systems thus enriching the collaborative experience. This is where a secondary contribution is made by this theSis. MAST is integrated with the Access Grid Toolkit (AGTk); allowing the audio/video conferencing facilities of AGTk to be combined with its application sharing capabilities. This thesis also demonstrates the role of MAST in supporting collaboration between remote peers in virtual organisations. The usage scenarios in these vas highlight that collaborative experience of the participants can be enhanced by supporting collaboration across heterogeneous devices.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available