Conformance Checking and Simulation-based Evolutionary Optimization for Deployment and Reconfiguration of Software in the Cloud
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Beschreibung
Many SaaS providers nowadays want to leverage the cloud’s capabilities also for their existing applications, for example, to enable sound scalability and cost-effectiveness. This thesis provides the approach CloudMIG that supports SaaS providers to migrate those applications to IaaS and PaaS-based cloud environments.
CloudMIG consists of a step-by-step process and focuses on two core components. (1) Restrictions imposed by specific cloud environments (so-called cloud environment constraints (CECs)), such as a limited file system access or forbidden method calls, can be validated by an automatic conformance checking approach. (2) A cloud deployment option (CDO) determines which cloud environment, cloud resource types, deployment architecture, and runtime reconfiguration rules for exploiting a cloud’s elasticity should be used. The implied performance and costs can differ in orders of magnitude. CDOs can be automatically optimized with the help of our simulation-based genetic algorithm CDOXplorer.
Extensive lab experiments and an experiment in an industrial context show CloudMIG’s applicability and the excellent performance of its two core components.
Autor*in
Sören Frey
Sören Frey is a software engineer at the syscovery Business Solutions GmbH. He received his Master’s degree in Computer Science from the Mannheim University of Applied Sciences in 2007. Afterwards, he worked as a software engineer at the ADG mbH. Until 2013, he was then employed as a researcher at the Software Engineering Group at the Kiel University. His research interests include software modernization, machine learning, and cloud computing.