Abstract LaBeCo is a transdisciplinary research initiative based on the observation that language use - and more generally human behaviour - forms patterns through types of situations that reflect social, cultural and material factors. The object of study of all LaBeCo members means that the context of these types of situations must be included in their research in order to adequately explain variations in their data. However, existing research approaches neglect the situation context, or analyse it exclusively within their own discipline, thus missing more comprehensive explanatory approaches by including findings from other disciplines. LaBeCo wants to close this gap with a multidisciplinary research approach. Consortium The LaBeCo research initiative extends across four faculties of RWTH Aachen University - in addition to the Faculty of Philosophy, the Faculty of Mathematics, Informatics and Natural Sciences, the Faculty of Electrical Engineering and Information Technology and the Faculty of Medicine - and also includes eight external partners from six other universities: the University of Cologne, the Brandenburg University of Technology, the University of Wuppertal, the Friedrich-Alexander University Erlangen-Nuremberg, the University of Salzburg and the University of Hildesheim.
Abstract The Passive and Active Measurement (PAM) conference brings together researchers and operators to discuss novel and emerging work in the area of network measurement and analysis. PAM is inclusive of all areas of network measurement, but focuses on systems-based research and real-world data. Indeed, measurement technology is needed at all layers of the network stack, ranging from power profiling of hardware components to virtualization in data centers to application profiling and even user experience. Work with operational impact or relevance to the broader network research community is especially welcome, as is early and promising measurement technique.
Abstract Today’s digital day-to-day communication is dominated by short text exchanges. Recently, anonymous communication platforms are emerging and have found widespread adoption. Anonymous communication largely lacks metadata and opens questions concerning efficient methods. This project brings together linguistic, sociological and computational expertise to explore a methodology for investigating social patterns of online communities as they manifest in linguistic behaviour with the long-term goal of developing computational mechanisms safeguarding against anti-social behaviour. The main outcome of the project will be a first understanding of the problems and possible solutions for determining context in anonymous short message exchanges. Ultimately, this knowledge of the social and linguistic patterns in online communities could be of use not just for retrospectively explaining (anti-)social behaviour in such communities but also proactively for designing platforms.
Abstract The SSICLOPS project will focus on techniques for the management of federated private cloud infrastructures, in particular cloud networking techniques (within software-defined data centres and across wide-area networks). Key deliverables from the project will include a meta data description language for workloads, resources and policies, a flexible scheduling system using meta data, workload-specific adaptations to TCP/IP stacks, and data center performance analysis tools.
Addressing topics, such as dynamic configuration, automated provisioning and orchestration of cloud resources the SSICLOPS projects will investigate high-performance, vertically integrated network stacks for intra/inter-cloud communication and efficient, scalable, and secure intra/inter-DC and client-facing transport mechanisms.
The project will design, implement, demonstrate, and evaluate three specific use cases, namely a cloud-based in-memory database, the analysis of physics experiment data, and the prototypical extension of network stacks for a telecom provider in the SSICLOPS testbed.
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