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Title:Efficient Resource Utilization for Parallel I /O in Cluster Environments
Author(s):Cho, Yong Eun
Doctoral Committee Chair(s):Winslett, Marianne
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Computer Science
Abstract:In this thesis work, performance factors for parallel I/O on clusters are examined and several algorithms are designed to support parallel I/O efficiently for scientific applications running on commodity clusters, making better utilization of system resources. Specifically, our algorithms are designed to (i) minimize data transfer over the network during I/O if network bandwidth is limited, (ii) reduce message passing latency during I/O of finely-distributed data, (iii) place I/O servers on the appropriate processors in heterogeneous environments, and (iv) balance I/O workload dynamically when necessary. These algorithms have been implemented in the Panda parallel I/O library and tested on several actual and simulated cluster environments. Performance results show that our algorithms improve overall parallel I/O performance significantly with only an insignificant amount of overhead. These algorithms can also be used in other parallel I/O runtime libraries or job schedulers for cluster systems.
Issue Date:1999
Description:114 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1999.
Other Identifier(s):(MiAaPQ)AAI9952989
Date Available in IDEALS:2015-09-25
Date Deposited:1999

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