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<meta content="1. Larson, S. M., Snow, D. C., Shirts, M., Pande, V. S.: Folding@Home and Genome@Home: Using distributed computing to tackle previously intractable problems in computational biology. Modern Methods in Computational Biology, Grant, R., ed, Horizon Press (2003)
2. Hayes, B.: Collective Wisdom. American Scientist. Vol. 86 No. 2. (1998) 118-122
3. Anderson, D., Cobb, J., Korpela, E., Lebofsky, M., Werthimer, D.: SETI@home: An Experiment in Public-Resource Computing. Communications of the ACM. Vol. 45 Issue 11, (2002) 56 - 61
4. Cohen, B.: Incentives Build Robustness in BitTorrent. Workshop on Economics of Peer-to-peer Systems, Berkeley, CA, USA, June 2003
5. Atkinson, A., Malhotra, V.: Coalescing idle Workstations as a Multiprocessor System using JavaSpace and Java WebStart. Proceedings of the 8th IASTED International Conference on Internet & Multimedia Systems & Applications, Kauai, Hawaii, USA (2004) 233-238
6. Andreson, D. P.: BOINC: A System for Public-Resource Computing and Storage. 5th IEEE/ACM International Workshop on Grid Computing. Pittsburgh, USA (2004)
7. GPU: a Global Processing Unit, web page, http://gpu.sourceforge.net/ Accessed Jan 25, 2007
8. Bharambe, A., Herley, C., Padmanabhan, V. N.: Analyzing and Improving BitTorrent Performance. Tech. Rep. MSR-TR-2005-03, Microsoft Research, February 2005.
9 Ritter, J.: Why Gnutella Can't Scale.No Really,
http://www.darkridge.com/~jpr5/doc/gnutella.html (2001) Accessed Apr 11, 2006
10. Transcode Processing, web page, http://www.transcoding.org/ Accessed January 25, 2007
11. Piatek, M., Isdal, T., Anderson, T., Krishnamurthy, A., Venkataramani, A.: Do incentives build robustness in BitTorrent? To appear in the 4th USENIX Symposium on Networked Systems Design & Implementation (2007)" name="eprints.referencetext" />
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<h1 class="ep_tm_pagetitle">Enabling grassroots distributed computing with CompTorrent</h1>
<p style="margin-bottom: 1em" class="not_ep_block"><span class="person_name">Goldsmith, Bradley</span> (2007) <xhtml:em>Enabling grassroots distributed computing with CompTorrent.</xhtml:em> In: Sixth International Workshop on Agents and Peer-to-Peer Computing, 15 May 2007, Honolulu, Hawaii, USA. (In Press)</p><p style="margin-bottom: 1em" class="not_ep_block"></p><table style="margin-bottom: 1em" class="not_ep_block"><tr><td valign="top" style="text-align:center"><a onmouseover="EPJS_ShowPreview( event, 'doc_preview_1593' );" href="http://eprints.utas.edu.au/1225/1/comptorrent_ap2pc_2007.pdf" onmouseout="EPJS_HidePreview( event, 'doc_preview_1593' );"><img alt="[img]" src="http://eprints.utas.edu.au/style/images/fileicons/application_pdf.png" class="ep_doc_icon" border="0" /></a><div class="ep_preview" id="doc_preview_1593"><table><tr><td><img alt="" src="http://eprints.utas.edu.au/1225/thumbnails/1/preview.png" class="ep_preview_image" border="0" /><div class="ep_preview_title">Preview</div></td></tr></table></div></td><td valign="top"><a href="http://eprints.utas.edu.au/1225/1/comptorrent_ap2pc_2007.pdf"><span class="ep_document_citation">PDF</span></a> - Requires a PDF viewer<br />187Kb</td></tr></table><div class="not_ep_block"><h2>Abstract</h2><p style="padding-bottom: 16px; text-align: left; margin: 1em auto 0em auto">This paper describes the operational characteristics of "CompTorrent", a general purpose distributed computing platform that provides a low entry cost to creating new distributed computing projects. An algorithm is embedded into a metadata file along with data set details which are then published on the Internet. Potential nodes discover and download metadata files for projects they wish to participate in, extract the algorithm and data set descriptors, and join other participants in maintaining a swarm. This swarm then cooperatively shares the raw data set in pieces between nodes and applies the algorithm to produce a computed data set. This computed data set is also shared and distributed amongst participating nodes. CompTorrent allows a simple, "home-brewed" solution for small or individual distributed computing projects. Testing and experimentation have shown CompTorrent to be an effective system that provides similar benefits for distributed computing to those BitTorrent provides for large file distribution.</p></div><table style="margin-bottom: 1em" cellpadding="3" class="not_ep_block" border="0"><tr><th valign="top" class="ep_row">Item Type:</th><td valign="top" class="ep_row">Conference or Workshop Item (Paper)</td></tr><tr><th valign="top" class="ep_row">Keywords:</th><td valign="top" class="ep_row">peer-to-peer, grid computing, BitTorrent, distributed computing</td></tr><tr><th valign="top" class="ep_row">Subjects:</th><td valign="top" class="ep_row"><a href="http://eprints.utas.edu.au/view/subjects/289999.html">280000 Information, Computing and Communication Sciences > 289900 Other Information, Computing and Communication Sciences > 289999 Other Information, Computing and Communication Sciences</a></td></tr><tr><th valign="top" class="ep_row">ID Code:</th><td valign="top" class="ep_row">1225</td></tr><tr><th valign="top" class="ep_row">Deposited By:</th><td valign="top" class="ep_row"><span class="ep_name_citation"><span class="person_name">Goldsmith Bradley</span></span></td></tr><tr><th valign="top" class="ep_row">Deposited On:</th><td valign="top" class="ep_row">28 Jun 2007</td></tr><tr><th valign="top" class="ep_row">Last Modified:</th><td valign="top" class="ep_row">09 Jan 2008 02:30</td></tr><tr><th valign="top" class="ep_row">ePrint Statistics:</th><td valign="top" class="ep_row"><a target="ePrintStats" href="/es/index.php?action=show_detail_eprint;id=1225;">View statistics for this ePrint</a></td></tr></table><p align="right">Repository Staff Only: <a href="http://eprints.utas.edu.au/cgi/users/home?screen=EPrint::View&eprintid=1225">item control page</a></p>
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