Tag: stream processing

OSAD 2020 Talk Accepted

Automation is one of the key concerns in cloud environments. The need to introduce effort-saving automation around the process of bringing new applications to powerful cloud environments ranges from developer tooling over testing and deployment to operational concerns. According to Nokia’s Eric Bauer, application service efficiency is the ratio of service output produced to resource input consumed, and automation can significantly reduce the input effort.

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Two DIZH Fellowships on Data Stream Processing and on Software Engineering accepted

Note: This information is to be understood under the condition of approval of the DIZH by the Canton Council.

The research efforts «Can virtual reality systems help us to design software as we talk?» and «Smart Cities & Regions Services Enablement» are among the first contributions to the digitalisation initiative of the canton of Zurich. They amplify the know-how on software engineering and data-intensive Internet services bundled at the Institute for Applied Information Technology for the support of commercial applications of the following decade.

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