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TU Berlin

Inhalt des Dokuments

Research Areas

We work on resource management and fault tolerance for distributed systems in context of cloud computing, grid computing, HPC, Big Data, and IoT. Currently, we mainly focus on the following two research areas:

Critical Data-Intensive Distributed Systems

Highly-optimized Cloud Infrastructures

Critical Data-Intensive Distributed Systems

Many applications today have to deal with large volumes of data, including for instance IoT monitoring applications in context of urban infrastructures and data processing jobs in context of the sciences. Such applications are usually implemented on top of distributed systems and often run on heterogeneous infrastructures. Users regularly have specific expectations for the performance and dependability of these applications. This is why we develop and evaluate new methods that allow systems to adapt themselves effectively to specific data-intensive workloads, distributed computing environments, and performance requirements.

Learn more about our research in this area

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

Further Projects

Aside of the projects in our two main research areas we are also part of other ongoing research efforts, including the ECDF, HEIBRiDS, and TU WimiPlus.

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