Abstract
In order for SaaS providers to operate their services in a cost-effective manner, while providing response time guarantees, even in the presence of failures, two key challenges must be addressed: workload management and data placement. Solutions for these challenges form the core of this dissertation. SaaS providers must balance customer satisfaction (measured in response times as perceived by the end users) and the cost for operating the service. We have shown that the potential cost savings from using an incremental data placement strategy, which consolidates multiple tenant databases onto a physical server and controls how tenant replicas are laid across multiple servers, are vast: measured in hourly rates on Amazon EC2, a provider can reduce its spending on an average working day by a factor of ten, in comparison to static provisioning for peak load requirements.
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Schaffner, J. (2014). Conclusions and Perspectives. In: Multi Tenancy for Cloud-Based In-Memory Column Databases. In-Memory Data Management Research. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00497-6_8
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DOI: https://doi.org/10.1007/978-3-319-00497-6_8
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