A Scalable and Secure Peer-to-Peer
Information Sharing Tool
Collaboration Technologies Group
Distributed Systems Department
Computational Research Division
Lawrence Berkeley National Laboratory
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Reporting period - This report covers work completed October 2004 - December 2004
Work on the scalable and secure peer-to-peer information sharing tool project focused on publicizing our work, updated releases of the implementation, and supporting our software user community.
In an effort to publicize our current work we took part in the DSD prototype technologies demonstration at SuperComputing 2004. The scishare software was used to search for and transfer NetLogger (http://www-didc.lbl.gov/NetLogger/) log files and AMBER (http://amber.scripps.edu/) simulation data/results files to the user. The search and transfer capability of scishare is also being wrapped in a visual programming node of the Visual Component Editor (ViCE) visual programming environment.
We have continued to provide updated releases of the implementation. The software is located at http://www.dsd.lbl.gov/scishare. The updates have addressed bug reports (http://dsd.lbl.gov/bugzilla) and new features, such as:
- A graphical installer.
- Better overall stability.
- Ability to save the state of the application at runtime.
A full list of the improvements and bug fixes in each of the releases can be found at http://dsd.lbl.gov/scishare/whatsnew.html.
Workshops, Conferences and Meetings
- SuperComputing 2004, Pittsburgh, PA, Nov. 8-11, 2004.
- Opportunities for Distributed Science: A DOE National Collaboratories Program Workshop, National Center for Atmospheric Research (NCAR), Boulder, CO, Dec. 1-3, 2004.
- instrumentation of system characteristics
- continue adding security mechanisms to the implementation
- enhance the user interface and application functionality based on feedback from initial users
Contact: Webmaster <firstname.lastname@example.org>
Credits: A Scalable and Secure Peer-to-Peer Information Sharing Tool research and development is funded by the U.S. Dept. of Energy, Office of Science, Office of Advanced Scientific Computing Research, Mathematical, Information, and Computational Sciences Division; Support Credits identify the funding sources and the organizational context of the work described in this document.