DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TSC.2013.5
Liang Zhao , National ICT Australia (NICTA) and University of New South Wales, Sydney
Sherif Sakr , National ICT Australia (NICTA) and University of New South Wales, Sydney
Anna Liu , National ICT Australia (NICTA) and University of New South Wales, Sydney
Currently, we are witnessing a proliferation in the number of cloud-hosted applications with a tremendous increase in the scale of the data generated as well as being consumed by such applications. The specifications of existing service level agreements (SLA) for cloud services are not designed to flexibly handle even relatively straightforward performance and technical requirements of consumer applications. In this article, we present a novel approach for SLA-based management of cloud-hosted databases from the consumer perspective. The framework facilitates adaptive and dynamic provisioning of the database tier of the software applications based on application-defined policies for satisfying their own SLA performance requirements, avoiding the cost of any SLA violation and controlling the monetary cost of the allocated computing resources. In this framework, the SLA of the consumer applications are declaratively defined in terms of goals which are subjected to a number of constraints that are specific to the application requirements. The framework continuously monitors the application-defined SLA and automatically triggers the execution of necessary corrective actions (scaling out/in the database tier) when required. The experimental results demonstrate the effectiveness of our SLA-based framework in providing the consumer applications with the required flexibility for achieving their SLA requirements.
modeling and management, Software/Software Engineering, Software Engineering, Software Architectures, Domain-specific architectures, Information Technology and Systems, Database Management, General, Database design
Liang Zhao, Sherif Sakr, Anna Liu, "A Framework for Consumer-Centric SLA Management of Cloud-Hosted Databases", IEEE Transactions on Services Computing, vol. , no. , pp. 0, 5555, doi:10.1109/TSC.2013.5