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Design and Implementation of Shared Memory based Parallel File System Logging Method for High Performance Computing,” Volume 45

By Hyeyoung Cho, Sungho Kim and Sangdong Lee

Abstract

Abstract—I/O workload is a critical and important factor to analyze I/O pattern and file system performance. However tracing I/O operations on the fly distributed parallel file system is non-trivial due to collection overhead and a large volume of data. In this paper, we design and implement a parallel file system logging method for high performance computing using shared memory-based multi-layer scheme. It minimizes the overhead with reduced logging operation response time and provides efficient post-processing scheme through shared memory. Separated logging server can collect sequential logs from multiple clients in a cluster through packet communication. Implementation and evaluation result shows low overhead and high scalability of this architecture for high performance parallel logging analysis. O Keywords—I/O workload, PVFS, I/O Trace

Year: 2008
OAI identifier: oai:CiteSeerX.psu:10.1.1.193.4308
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