Andreas Kipf

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In the past few years, massive amounts of location-based data has been captured. Numerous datasets containing user location information are readily available to the public. Analyzing such datasets can lead to fascinating insights into the mobility patterns and behaviors of users. Moreover, in recent times a number of geospatial data-driven companies like(More)
Virtualization owes its popularity mainly to its ability to consolidate software systems from many servers into a single server without sacrificing the desirable isolation between applications. This not only reduces the total cost of ownership, but also enables rapid deployment of complex software and application-agnostic live migration between servers for(More)
Today’s streaming applications demand increasingly high event throughput rates and are often subject to strict latency constraints. To allow for more complex workloads, such as window-based aggregations, streaming systems need to support stateful event processing. This introduces new challenges for streaming engines as the state needs to be maintained in a(More)
Zur Unterstützung der digitalen Transformation im Bereich Smart Mobility und Smart City wurde das TUM Living Lab Connected Mobility (TUM LLCM) initiiert. Das Forschungsprojekt bündelt die einschlägigen Forschungs-, Entwicklungs-, und Innovationskompetenzen der Technischen Universität München (TUM) in der Informatik und in der Verkehrsforschung. Im Projekt(More)
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