Inhalt des Dokuments
Adaptive Middleware for Data-Intensive Applications
The size of the collected data is growing. In order to handle the enormous volumes of data and also the high velocities at which data is coming in, new scalable and reliable processing middlewares become increasingly important. We are especially interested in methods that allow systems to adapt themselves effectively to workload dynamics and distributed computing environments, automatically optimizing resource usage and fulfillment of performance requirements.
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Highly-optimized Cloud Infrastructures
A solid technical foundation on Cloud Computing was developed over the last years ranging from resource allocation on the Infrastructure as a Service layer, job and application execution on the Platform as a Service layer, to software and service usage on the Software as a Service layer. This foundation allows the access of resources according to the pay-as-you-go principle without the need for any upfront capital expenses, long-term commitment, or significant provisioning delay. However, this cloud concept brought many new challenges with respect to Service Level Agreements, Software-defined networking, Energy awareness, Scalability, Availability, and Reliability.
Learn more about our research projects in this area