Self Organizing Systems Lab Tu Darmstadt


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Mechanism Transitions in Publish/Subscribe Systems


Mechanism Transitions in Publish/Subscribe Systems

Author: Björn Richerzhagen

language: en

Publisher: Springer

Release Date: 2018-07-27


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This book reports on a novel concept of mechanism transitions for the design of highly scalable and adaptive publish/subscribe systems. First, it introduces relevant mechanisms for location-based filtering and locality-aware dissemination of events based on a thorough review of the state-of-the-art. This is followed by a detailed description of the design of a transition-enabled publish/subscribe system that enables seamless switching between mechanisms during runtime. Lastly, the proposed concepts are evaluated within the challenging context of location-based mobile applications. The book assesses in depth the performance and cost of transition execution, highlighting the impact of the proposed state transfer mechanism and the potential of coexisting transition-enabled mechanisms.

Towards Ubiquitous Learning


Towards Ubiquitous Learning

Author: Carlos Delgado Kloos

language: en

Publisher: Springer

Release Date: 2011-09-18


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This book constitutes the refereed proceedings of the 6th European Conference on Technology Enhanced Learning, EC-TEL 2011, held in Palermo, Italy, in September 2010. The 30 revised full papers presented were carefully reviewed and selected from 158 submissions. The book also includes 12 short papers, 8 poster papers, and 2 invited paper. There are many interesting papers on topics such as web 2.0 and social media, recommender systems, learning analytics, collaborative learning, interoperability of tools, etc.

Nonlinear System Identification


Nonlinear System Identification

Author: Oliver Nelles

language: en

Publisher: Springer Science & Business Media

Release Date: 2013-03-09


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Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. The book also provides the reader with the necessary background on optimization techniques, making it fully self-contained. The new edition includes exercises.