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Zeit: Donnerstag, 6. Oktober 2022, 15:00 Uhr
Ort: Raum 9222, Ahornstr. 55
Referent: Tim Hartmann M.Sc.
Lehrstuhl Informatik 1
Thema: Facility Location on Graphs
Abstract:
We study two closely related Facility Location problems on graphs where
all edges have unit length and where the facilities may also be
positioned in the interior of the edges. For delta-Dispersion the goal
is to position as many facilities as possible subject to the condition
that any two facilities have at least distance delta from each other.
For delta-Covering the goal is to cover the entire graph with the
minimum number of facilities; that is, we want to position as few
facilities as possible subject to the condition that every point on
every edge is at distance at most delta from one of these facilities.
We investigate the algorithmic complexity of these problems for every
real distance value delta. Further, we explore the complexity of these
problems with the solution size as parameter. Finally, we study
delta-Dispersion with parameters that measure the complexity of the
input graph, such as treewidth, treedepth and neighborhood diversity.
Es laden ein: die Dozentinnen und Dozenten der Informatik
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Zeit: Freitag, 21. Oktober 2022, 14:30 Uhr
Ort: Raum 9U10 (2359|0.10), E3, Informatikzentrum, Ahornstr. 55
Referent: Rebecca Haehn M.Sc. (Theory of Hybrid Systems)
Thema: Optimisation and Analysis of Railway Timetables
under Consideration of Uncertainties
Abstract:
Railway systems are complex systems that are strongly affected by
uncertainties like weather, technical problems, or demand. Despite
these uncertainties, railway systems need to function efficiently. In
general this thesis aims to advance the consideration of uncertainty in
the railway planning process to optimally utilise the existing railway
network capacity. The focus in this thesis is on the delays that result
from the uncertain environmental conditions. To consider these in the
railway planning process, a symbolic simulation algorithm is proposed
to examine the delay propagation in a railway network for a given
timetable. This allows to estimate the timetable robustness and the
network capacity. Several performance indicators for railway timetables
that can be evaluated using the symbolic simulation are discussed. To
optimally utilise the network capacity also an algorithm to schedule
additional freight trains is presented.
The main contributions of this thesis are the following:
- An algorithm to schedule additional freight trains is presented,
to utilise the remaining network capacity without disturbing an
existing timetable.
- A novel symbolic simulation algorithm for railway timetables is
proposed. The algorithm receives as input a railway infrastructure
model, a corresponding timetable, and discrete primary delay dis-
tributions. It computes iteratively over time the delay propagation
in the given railway system. Symbolic expressions are used to
represent multiple possible values for the primary delays. This
enables to simulate all discrete primary delay combinations at once.
- An implementation of these algorithms is provided in C++ and
evaluated on some real-world railway infrastructure networks and
timetables based on the German railway system. The applicability
and functionality of the algorithms is demonstrated.
The proposed symbolic simulation algorithm is aimed to be a helpful
addition to existing railway timetable simulations, which are mostly
based on Monte Carlo simulation. In contrast to those, the symbolic
approach stores the history of specific train states, which can be used to
explain the occurring delays. In addition, the results of the symbolic
simulation are exact with respect to the input model and the discrete
primary delay distributions.
Es laden ein: die Dozentinnen und Dozenten der Informatik
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Zeit: Dienstag, 4. October 2022, 10:00 Uhr
Ort: Raum 9222, Geb. E3, 2. Etage, Informatikzentrum, Ahornstr. 55
Referent: Shahid Khan M.Sc.
(Lehrstuhl Informatik 2)
Thema: Boolean-logic Driven Markov Processes - Explained. Analysed.
Verified.
Abstract:
Model-based dependability studies of engineering systems amount to
quantifying and improving dependability measures. These
measures include reliability, availability, maintainability and safety.
Two key ingredients of such studies are 1) models capturing the system
behaviour to an acceptable level of abstraction and 2) efficient and
accurate analysis techniques to quantify dependability measures.
Among the modelling techniques, static (or standard) fault trees
(SFTs) is a prominent dependability modelling language extensively used
by engineers to develop system models. However, it lacks expressive
power as it cannot model temporal dependencies of failures and has
limited support for repairs. Boolean logic-driven Markov processes
(BDMPs) and dynamic fault trees (DFTs) are two classical dynamic
extensions of SFTs that aim to mitigate the expressive power limitation
issue of SFTs. While DFTs are (generally) restricted to non-repairable
systems, BDMPs natively support repairs. The BDMP language has a
long-standing industrial usage history; the leading French electricity
utility company (EDF) extensively uses BDMPs to conduct dependability
studies.
Among the analysis techniques, probabilistic model checking is a
verification technique to determine the probability of a state-space
model satisfying or refuting a logical property. It combines efficient,
fully automated verification algorithms with numerical analysis. The
results of these automated verification procedures are numeric values
that dependability practitioners use to attain the reliability growth of
their systems.
The issue with BDMPs is that it lacks numerically exact analysis support and adequately
documented semantics. EDF provides two analysis tools for BDMPs: 1) a
Monte-Carlo simulator and 2) a sequence exploration
tool. Both tools provide approximate results, which may not be
acceptable for stringent dependability requirements of
safet-criticalsystems. The
semantics of BDMPs is essential for a comparative study with other
modelling languages, e.g., DFTs. This dissertation, developed in
collaboration with EDF, presents semantics and a model checker for BDMPs:
-- we propose Markov automaton- and generalised stochastic Petri
net-based semantics to BDMPs and empirically establish the accuracy,
-- we develop a probabilistic model checker for BDMPs and enhance the
scalability of the model checker using partial state-space exploration
techniques, and
-- we contrast BDMPs to DFTs and lift the repairable behaviour of BDMPs
to repairable DFTs.
This dissertation provides a holistic view of BDMPs. An exciting outcome
of this dissertation is that our model checker can analyse the Markovian
subset of the EDF-maintained Figaro language. This subset includes
capacity analysis diagrams, dynamic reliability block diagrams, electric
circuits, Petri nets, process diagrams, telecommunication networks, and
other EDF-developed Figaro-based modelling formalisms.
In this presentation, we provide: (1) a detailed introduction to
the BDMP formalism, (2) an insight of the BDMP model checker, and (3)
the semantics of BDMPs.
Es laden ein: die Dozentinnen und Dozenten der Informatik
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Zeit: Dienstag, 20.09.2022, 10:00-11:00 Uhr
Der öffentliche Vortrag findet hybrid statt:
Raum: Raum 5053.2 (B-IT-Hörsaal)/Informatikzentrum, Ahornstraße 55
Zoom:
https://rwth.zoom.us/j/91824143381?pwd=dU5SNSt2TWtUMlZTOVFtRkczN1RvQT09
Meeting-ID: 918 2414 3381
Kenncode: 827047
Referent: Herr Thomas Osterland, M. Sc.
Lehrstuhl Informatik 5
Thema: Distributed Ledger Technology Processes
Abstract:
DLT offers new means to establish trust relationships within cooperative
processes among enterprises and thereby enables the implementation of use
cases with a lack of existing intermediaries. Prominent examples of use
cases are financial applications, provenance tracking and identity
management. All of them are contingent upon trust in business processes and
require the maintained security of the distributed ledger, that strongly
depends on the heterogeneity and robustness of the underlying ecosystem.
Participants need to trust the security of the ecosystem and the trust must
be maintained over time. Therefore, the distributed ledger technology is not
a simple component, that can be easily integrated into an existing
application unless the complex relationship between participants and their
trust into the underlying ecosystem is considered early in the engineering
process.
This thesis introduces a framework, that comprises a structured methodology
and tooling as a means to support conventional software processes that allow
software architects to address the specific requirements of distributed
ledger applications. We argue that these subjects are important to ensure
the quality and sustainability of an application, since 1) a distributed
ledger, that is not capable of handling future requirements of a use case
represents eventually a bottleneck and thus, harms the efficient and
reliable execution of business processes, 2) smart contracts with software
bugs, that either prevent the efficient execution of business processes or
favor one party over another will erode the trust that participants have
into the ecosystem, and 3) if the DLT is not capable of securing substantial
amounts of data use cases, that rely on the processing of data are
disadvantaged and the consequences for an ecosystem when handling large
amounts of data in the future are unforeseeable.
Es laden ein: die Dozentinnen und Dozenten der Informatik
_______________________________
Leany Maaßen
RWTH Aachen University
Lehrstuhl Informatik 5, LuFG Informatik 5
Prof. Dr. Stefan Decker, Prof. Dr. Matthias Jarke,
Prof. Gerhard Lakemeyer Ph.D.
Ahornstrasse 55
D-52074 Aachen
Tel: 0241-80-21509
Fax: 0241-80-22321
E-Mail: maassen(a)dbis.rwth-aachen.de