Abstract
We consider the use of a cluster system for Application Service Providers. To obtain high-performance and high-availability, we replicate databases (and DBMS) at several nodes, so they can be accessed in parallel through applications. Then the main problem is to assure the consistency of autonomous replicated databases. Preventive replication [8] provides a good solution that exploits the cluster’s high speed network, without the constraints of synchronous replication. However, the solution in [8] assumes full replication and a restricted class of transactions. In this paper, we address these two limitations in order to scale up to large cluster configurations. Thus, the main contribution is a refreshment algorithm that prevents conflicts for partially replicated databases. We describe the implementation of our algorithm over a cluster of 32 nodes running PostGRESQL. Our experimental results show that our algorithm has excellent scale up and speed up.
Work partially funded by the MDP2P project of the ACI “Masses de Données” of the French ministry of research.
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Coulon, C., Pacitti, E., Valduriez, P. (2005). Scaling Up the Preventive Replication of Autonomous Databases in Cluster Systems. In: Daydé, M., Dongarra, J., Hernández, V., Palma, J.M.L.M. (eds) High Performance Computing for Computational Science - VECPAR 2004. VECPAR 2004. Lecture Notes in Computer Science, vol 3402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11403937_14
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DOI: https://doi.org/10.1007/11403937_14
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