Open Science Research Excellence
%0 Journal Article
%A Hyeyoung Cho and  Sungho Kim and  Sik Lee
%D 2009 
%J  International Journal of Computer and Information Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 36, 2009
%T Analysis of Long-Term File System Activities on Cluster Systems
%U http://waset.org/publications/11678
%V 36
%X I/O workload is a critical and important factor to
analyze I/O pattern and to maximize file system performance.
However to measure I/O workload on running distributed parallel file
system is non-trivial due to collection overhead and large volume of
data. In this paper, we measured and analyzed file system activities on
two large-scale cluster systems which had TFlops level high
performance computation resources. By comparing file system
activities of 2009 with those of 2006, we analyzed the change of I/O
workloads by the development of system performance and high-speed
network technology.
%P 2767 - 2772