Efficient data synchronization method on integrated computing environment

Efficient data synchronization method on integrated computing environment J Supercomput https://doi.org/10.1007/s11227-018-2445-z Efficient data synchronization method on integrated computing environment 1 2 Daeyong Jung · Daewon Lee · 1 3 Myungil Kim · Jaesung Kim © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract To execute scientific applications and simulations of enormous scale, the computing paradigm is evolving into one of cluster computing and cloud computing that can exploit the large number of available computing resources. To maximize the utilization of them, company or research center needs a scheduler engine and its data space to construct a cluster computing environment. However, if certain data space is shared, problems related to the security of node, the network traffic imbalance between nodes, and the data protection could arise. To solve these issues, a manager synchronizing the shared data space for the nodes that constitute a cluster computing environment is designed. The synchronization manager shares data in two ways: First, under the cluster environment, the full synchronization group can mount a specific directory space of the master node via NFS. It is used for the data which can be globally referenced. Second, the partial synchronization group delivers data to assigned workers through rsync. It can be used to locally http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Journal of Supercomputing Springer Journals

Efficient data synchronization method on integrated computing environment

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Programming Languages, Compilers, Interpreters; Processor Architectures; Computer Science, general
ISSN
0920-8542
eISSN
1573-0484
D.O.I.
10.1007/s11227-018-2445-z
Publisher site
See Article on Publisher Site

Abstract

J Supercomput https://doi.org/10.1007/s11227-018-2445-z Efficient data synchronization method on integrated computing environment 1 2 Daeyong Jung · Daewon Lee · 1 3 Myungil Kim · Jaesung Kim © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract To execute scientific applications and simulations of enormous scale, the computing paradigm is evolving into one of cluster computing and cloud computing that can exploit the large number of available computing resources. To maximize the utilization of them, company or research center needs a scheduler engine and its data space to construct a cluster computing environment. However, if certain data space is shared, problems related to the security of node, the network traffic imbalance between nodes, and the data protection could arise. To solve these issues, a manager synchronizing the shared data space for the nodes that constitute a cluster computing environment is designed. The synchronization manager shares data in two ways: First, under the cluster environment, the full synchronization group can mount a specific directory space of the master node via NFS. It is used for the data which can be globally referenced. Second, the partial synchronization group delivers data to assigned workers through rsync. It can be used to locally

Journal

The Journal of SupercomputingSpringer Journals

Published: May 28, 2018

References

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