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Derrick Kondo
Researcher at French Institute for Research in Computer Science and Automation
Publications - 63
Citations - 3602
Derrick Kondo is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Grid & Grid computing. The author has an hindex of 29, co-authored 63 publications receiving 3454 citations. Previous affiliations of Derrick Kondo include Teradata & University of Paris-Sud.
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Proceedings ArticleDOI
Towards Real-Time, Volunteer Distributed Computing
TL;DR: The results of the case study show that RT-BOINC provides much better performance than the original BOINC in terms of average and worst-case response time, scalability and efficiency.
Proceedings ArticleDOI
Correlated Resource Models of Internet End Hosts
TL;DR: A correlated resource model of Internet end hosts based on real trace data taken from the SETI@home project is developed and it is found that resources with few discrete values are well modeled by exponential laws governing the change of relative resource quantities over time.
Journal ArticleDOI
A Correlated Resource Model of Internet End Hosts
TL;DR: This paper develops a correlated resource model of Internet end hosts based on real-trace data taken from several volunteer computing projects, including SETI@home, and finds that resources with few discrete values are well modeled by approximations governing the change of relative resource quantities over time.
Journal ArticleDOI
Calculation of the relative geometry of tRNAs in the ribosome from directed hydroxyl-radical probing data.
TL;DR: The combined use of computational analysis and tethered hydroxyl-radical probing to constrain the arrangement of A-site and P-site tRNAs in the ribosome is reported.
Proceedings ArticleDOI
On Resource Volatility in Enterprise Desktop Grids
TL;DR: Application-level traces of four enterprise desktop grids with a wide range of user bases are presented and aggregate and per host statistics that reflect the volatility of desktop grid resources are described that determine the correlation of volatility between resources and other host characteristics.