%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 Open Science Index 36, 2009
	%T Analysis of Long-Term File System Activities on Cluster Systems
	%U https://publications.waset.org/pdf/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