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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
Characterizing Cloud Applications on a Google Data Center
TL;DR: This paper characterize Google applications, based on a one-month Google trace with over 650k jobs running across over 12,000 heterogeneous hosts from a Google data center, via a K-means clustering algorithm with optimized number of sets,based on task events and resource usage.
Journal ArticleDOI
Characterizing resource availability in enterprise desktop grids
TL;DR: This paper presents application-level traces of four real desktop grids that can be used for simulation and modelling purposes, and describes aggregate and per host statistics that reflect the heterogeneity and volatility of desktop grid resources.
Proceedings ArticleDOI
Modeling and tolerating heterogeneous failures in large parallel systems
TL;DR: This work model each component and construct integrated failure models given the component us age of common supercomputing applications and shows that these application-centric models provide more accurate reliability estimates compared to general models, which improves the efficacy of fault-tolerant algorithms.
Journal ArticleDOI
The Failure Trace Archive: Enabling the comparison of failure measurements and models of distributed systems
TL;DR: The design of the archive, in particular of the standard FTA data format, and the design of a toolbox that facilitates automated analysis of trace data sets are described, and how different interpretations of the meaning of failure data can result in different conclusions for failure modeling and job scheduling in distributed systems are shown.
Proceedings ArticleDOI
Models and scheduling mechanisms for global computing applications
TL;DR: This paper describes a global computing model that captures resource characteristics and instantiate this model with data from several surveys and studies and proposes performance metrics for global computing applications and evaluates two scheduling mechanisms in simulation.