Performance and cost optimization of multi-tenant in-memory database clusters
In this thesis, we set focus on in-memory database systems and combine queueing network modeling with nonlinear optimization to capture their performance characteristics and to optimize their provisioning cost. Our work is motivated by the advances in big data processing and in-memory technologies,...
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Imperial College London
2017
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.739694 |