Volker Turau

Prof. Dr. rer. nat. Volker Turau

Raum 4.088, Gebäude E
Am Schwarzenberg-Campus 3
21073 Hamburg

040 42878 - 3530

040 42878 - 2581

Seit Oktober 2002 bin ich Professor an der Technischen Universität Hamburg-Harburg.

Program Committee Activities | Editorial Activities | CV | Doktoranden

Bücher

Algorithmische Graphentheorie - 4., erweiterte und überarbeitete Auflage
De Gruyter Studium, 2015, ISBN 978-3-110-41727-2 (Lösungen)

Erdős-Zahl

Meine Erdős-Zahl ist 4.

Lehre

Publikationen

Tobias Lübkert, Marcus Venzke, Nhat-Vinh Vo und Volker Turau. Understanding Price Functions to Control Domestic Electric Water Heaters for Demand Response. Computer Science - Research and Development, 81–92, Februar 2018.

[BibTeX] [Abstract] [DOI]

@Article{Telematik_Demand_Response_DEWH_2017, author = {Tobias Lübkert and Marcus Venzke and Nhat-Vinh Vo and Volker Turau}, title = {Understanding Price Functions to Control Domestic Electric Water Heaters for Demand Response}, pages = {81-92}, journal = {Computer Science - Research and Development}, volume = {}, month = feb, year = 2018, }

Abstract: A well-known mechanism for demand response is sending price signals to customers a day ahead. Customers then postpone or advance their usage of electricity to minimize cost. Setting up price functions that adapt the customers' load to availability is a big challenge. This paper investigates the feasibility of finding day-ahead price functions to induce a desired load profile of Domestic Electric Water Heaters (DEWHs) minimizing their electricity cost for demand response. Bilevel optimization is applied for a single DEWH using a simplified linear model and full knowledge. This leads to a solvable bilevel problem and allows understanding optimality of price functions and resulting heating profiles. It is shown that with the resulting price functions the DEWH may select many significantly different heating profiles leading to the same cost. Thus the price does not uniquely induce the desired heating profile. The acquired knowledge forms the basis for a procedure to create price functions for controlling the load profile of many DEWHs.

Gerry Siegemund und Volker Turau. A Self-stabilizing Publish/Subscribe Middleware for IoT Applications. ACM Transactions on Cyber-Physical Systems (TCPS), to be published, 2018.

[BibTeX]

@Article{Telematik_Siegemund_2018, author = {Gerry Siegemund and Volker Turau}, title = {A Self-stabilizing Publish/Subscribe Middleware for IoT Applications}, pages = , journal = {ACM Transactions on Cyber-Physical Systems (TCPS), to be published}, volume = {}, month = , year = 2018, }

Volker Turau. Computing the Fault-Containment-Time of Self-Stabilizing Algorithms using Markov Chains and Lumping. In Stabilization, Safety, and Security of Distributed Systems - 19th International Symposium(SSS 2017), November 2017, pp. 62–77. Boston, USA.

[BibTeX] [Abstract] [DOI]

@InProceedings{Telematik_SSS_2017, author = {Volker Turau}, title = {Computing the Fault-Containment-Time of Self-Stabilizing Algorithms using Markov Chains and Lumping}, booktitle = {Stabilization, Safety, and Security of Distributed Systems - 19th International Symposium(SSS 2017)}, pages = {62-77}, day = {5-8}, month = nov, year = 2017, location = {Boston, USA}, }

Abstract: The analysis of self-stabilizing algorithms is in the vast majority of all cases limited to the worst case stabilization time starting from an arbitrary configuration. Considering the fact that these algorithms are intended to provide fault tolerance in the long run this is not the most relevant metric. From a practical point of view the worst case time to recover in case of a single fault is much more crucial. This paper presents techniques to derive upper bounds for the mean time to recover from a single fault for self-stabilizing algorithms Markov chains in combination with lumping. To illustrate the applicability of the techniques they are applied to a self-stabilizing coloring algorithm.

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