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Parallelized Data Replication of Multi-Petabyte Storage Systems

Authors: Leong, Honwai; Janke, Andrew; Richards, Daniel; Kolmann, Stephen;

Parallelized Data Replication of Multi-Petabyte Storage Systems

Abstract

This paper presents the architecture of a highly parallelized data replication workflow implemented at The University of Sydney that forms the disaster recovery strategy for two 8-petabyte research data storage systems at the University. The solution leverages DDN’s GRIDScaler appliances, the information lifecycle management feature of the IBM Spectrum Scale File System, rsync, GNU Parallel and the MPI dsync tool from mpiFileUtils. It achieves high performance asynchronous data replication between two storage systems at sites 40km’s apart. In this paper, the methodology, performance benchmarks, technical challenges encountered and fine-tuning improvements in the implementation are presented.

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Keywords

data transfer, replication, parallel, Performance, disaster recovery, HPC, MPI

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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