Abstract
This paper describes a data replication service for large-scale, data intensive applications whose results can be shared among geographically distributed scientists. We introduce two kinds of data replication techniques, called owner-initiated data replication and client-initiated data replication, that are developed to support data replica consistency without requiring any special file system-level locking functions. Also, we present performance results on Linux clusters located at Sejong University.
This work was supported in part by a Seoul R&BD program.
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© 2006 Springer-Verlag Berlin Heidelberg
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No, J., Park, C.W., Park, S.S. (2006). The Consistent Data Replication Service for Distributed Computing Environments. In: Esposito, F., RaÅ›, Z.W., Malerba, D., Semeraro, G. (eds) Foundations of Intelligent Systems. ISMIS 2006. Lecture Notes in Computer Science(), vol 4203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875604_30
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DOI: https://doi.org/10.1007/11875604_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45764-0
Online ISBN: 978-3-540-45766-4
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