Data Partitioning and Replication in the Cloud
Project funded by own resources
Project title Data Partitioning and Replication in the Cloud
Principal Investigator(s) Schuldt, Heiko
Project Members Vogt, Marco
Stiemer, Alexander
Organisation / Research unit Departement Mathematik und Informatik / Datenbanken (Schuldt)
Project start 01.08.2016
Probable end 31.12.2016
Status Completed
Abstract

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.

Financed by University funds

Published results ()

  ID Autor(en) Titel ISSN / ISBN Erschienen in Art der Publikation
3695621  Stiemer, Alexander; Fetai, Ilir; Schuldt, Heiko  Analyzing the Performance of Data Replication and Data Partitioning in the Cloud: the Beowulf Approach  978-1-4673-9005-7    Publication: ConferencePaper (Artikel, die in Tagungsbänden erschienen sind) 
   

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22/10/2018