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Data Partitioning and Replication in the Cloud

Research Project
 | 
01.08.2016
 - 30.06.2022

In this work, we combine protocols for distributed data management, in particular for data replication and for data partitioning, to provide cost-effective, dynamic and adaptable replicated data management in a Cloud environment.

Publications

Stiemer, Alexander, Fetai, Ilir and Schuldt, Heiko (2016) ‘Analyzing the Performance of Data Replication and Data Partitioning in the Cloud: the Beowulf Approach’. IEEE: IEEE. Available at: https://doi.org/10.1109/bigdata.2016.7840932.

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Members (3)

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Heiko Schuldt

Principal Investigator
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Marco Vogt

Project Member
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Alexander Stiemer

Project Member