OPTIMIZING DATA DISTRIBUTION IN DESKTOP GRID PLATFORMS
| Autor: | Gilles Fedak, Luis Silva, Ian Kelley, Fernando Albuquerque Costa |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Computer science
BitTorrent tracker Distributed computing CPU time 020206 networking & telecommunications Content delivery network 02 engineering and technology computer.file_format BOINC Credit System computer.software_genre Grid Bottleneck Theoretical Computer Science Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Operating system Bandwidth (computing) 020201 artificial intelligence & image processing computer BitTorrent Software |
| Zdroj: | Parallel Processing Letters |
| ISSN: | 1793-642X 0129-6264 |
| DOI: | 10.1142/s0129626408003466 |
| Popis: | Current infrastructures for Volunteer Computing follow a centralized architecture for data distribution, creating a potential bottleneck when tasks require large input files or the central server has limited bandwidth. In this paper we propose two new data models for Berkeley Open Infrastructure for Network Computing (BOINC): an approach based on the popular BitTorrent protocol; and a Content Delivery Network approach. While the latter remains on a theoretical level, we developed a prototype that adds BitTorrent functionality for task distribution and conducted medium-scale tests of the environment. Our preliminary results indicate that the BitTorrent client had a negligible influence on the BOINC client's computation time. The BOINC server showed an unexpectedly low bandwidth output when seeding the file, as well as spikes on CPU usage. This paper discusses the tests that were performed, how they were evaluated, as well as some improvements that could be made in future research on both approaches. |
| Databáze: | OpenAIRE |
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