@inproceedings {INPROC-2018-49,
author = {Lukas Harzenetter and Uwe Breitenb{\"u}cher and Michael Falkenthal and Jasmin Guth and Christoph Krieger and Frank Leymann},
title = {{Pattern-based Deployment Models and Their Automatic Execution}},
booktitle = {11th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2018)},
publisher = {IEEE Computer Society},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {41--52},
type = {Konferenz-Beitrag},
month = {Dezember},
year = {2018},
doi = {10.1109/UCC.2018.00013},
language = {Englisch},
cr-category = {D.2.9 Software Engineering Management},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The automated deployment of cloud applications is of vital importance.
Therefore, several deployment automation technologies have been developed that
enable automatically deploying applications by processing so-called deployment
models, which describe the components and relationships an application consists
of. However, the creation of such deployment models requires considerable
expertise about the technologies and cloud providers used—especially for the
technical realization of conceptual architectural decisions. Moreover,
deployment models have to be adapted manually if architectural decisions change
or technologies need to be replaced, which is time-consuming, error-prone, and
requires even more expertise. In this paper, we tackle this issue. We introduce
a meta-model for Pattern-based Deployment Models, which enables using cloud
patterns as generic, vendor-, and technology-agnostic modeling elements
directly in deployment models. Thus, instead of specifying concrete
technologies, providers, and their configurations, our approach enables
modeling only the abstract concepts represented by patterns that must be
adhered to during the deployment. Moreover, we present how these models can be
automatically refined to executable deployment models. To validate the
practical feasibility of our approach, we present a prototype based on the
TOSCA standard and a case study.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-49&engl=0}
}
@inproceedings {INPROC-2018-44,
author = {Michael Zimmermann and Uwe Breitenb{\"u}cher and Jasmin Guth and Sibylle Hermann and Frank Leymann and Karoline Saatkamp},
title = {{Towards Deployable Research Object Archives Based on TOSCA}},
booktitle = {Papers From the 12th Advanced Summer School of Service-Oriented Computing (SummerSoC 2018)},
publisher = {IBM Research Division},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {31--42},
type = {Konferenz-Beitrag},
month = {Oktober},
year = {2018},
keywords = {Research Object; Reusability; Reproducibility; Deployment Model; TOSCA},
language = {Englisch},
cr-category = {C.2.4 Distributed Systems,
D.2.7 Software Engineering Distribution, Maintenance, and Enhancement,
H.3.7 Digital Libraries},
ee = {https://www.2018.summersoc.eu/},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {In science, reproducibility means that a scientific experiment can be repeated
by another scientist with the same result. This is of particular importance to
verify the results as well as to show the usefulness and reusability for
further research. However, the exclusive publication of the research results in
a scientific journal is usually not sufficient. In addition to research
results, also research data as well as research software need to be published
and made public available in order to enable researcher to gain new insights
and thus advance research. However, the reproducibility and reusability of
research data and research software typically is hindered by several barriers.
Therefore, this work intends to first provide an overview of the current
situation and issues in this particular topic and furthermore sketch our vision
of standards-based Research Object Archives containing scientific publications,
software, data, metadata and licenses in order to tackle the existing problems.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-44&engl=0}
}
@inproceedings {INPROC-2018-37,
author = {Jasmin Guth and Frank Leymann},
title = {{Towards Pattern-based Rewrite and Refinement of Application Architectures}},
booktitle = {Papers From the 12th Advanced Summer School on Service-Oriented Computing (SummerSOC'18)},
publisher = {IBM Research Division},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {90--100},
type = {Konferenz-Beitrag},
month = {Oktober},
year = {2018},
keywords = {Application Architectures; Patterns; Solution Paths; Rewrite; Refinement; Graph Transformation},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
C.2.4 Distributed Systems,
D.2.1 Software Engineering Requirements/Specifications,
K.6 Management of Computing and Information Systems},
ee = {https://www.2018.summersoc.eu},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-37&engl=0}
}
@inproceedings {INPROC-2016-48,
author = {Jasmin Guth and Uwe Breitenb{\"u}cher and Michael Falkenthal and Frank Leymann and Lukas Reinfurt},
title = {{Comparison of IoT Platform Architectures: A Field Study based on a Reference Architecture}},
booktitle = {Cloudification of the Internet of Things (CIoT)},
publisher = {IEEE},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {1--6},
type = {Konferenz-Beitrag},
month = {November},
year = {2016},
doi = {10.1109/CIOT.2016.7872918},
keywords = {IoT; CPS; Reference Architecture; OpenMTC; FIWARE; SiteWhere; AWS IoT},
language = {Englisch},
cr-category = {C.3 Special-Purpose and Application-Based Systems,
D.2.11 Software Engineering Software Architectures},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The Internet of Things (IoT) is gaining increasing attention. The overall aim
is to interconnect the physical with the digital world. Therefore, the physical
world needs to be measured and translated into processible data. Further, data
has to be translated into commands to be executed by actuators. Due to the
growing awareness of IoT, the amount of offered IoT platforms rises as well.
The heterogeneity of IoT platforms is the consequence of multiple different
standards and approaches. This leads to problems of comprehension, which can
occur during the design up to the selection of an appropriate solution. We
tackle these issues by introducing an IoT reference architecture based on
several state-of-the-art IoT platforms. Furthermore, the reference architecture
is compared to three open-source and one proprietary IoT platform. The
comparison shows that the reference architecture provides a uniform basis to
understand, compare, and evaluate different IoT solutions. The considered
state-of-the-art IoT platforms are OpenMTC, FIWARE, Site-Where, and Amazon Web
Services IoT.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2016-48&engl=0}
}
@inproceedings {INPROC-2016-27,
author = {K{\'a}lm{\'a}n K{\'e}pes and Uwe Breitenb{\"u}cher and Santiago G{\'o}mez S{\'a}ez and Jasmin Guth and Frank Leymann and Matthias Wieland},
title = {{Situation-Aware Execution and Dynamic Adaptation of Traditional Workflow Models}},
booktitle = {Proceedings of the 5th European Conference on Service-Oriented and Cloud Computing (ESOCC)},
publisher = {Springer International Publishing},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
series = {LNCS},
volume = {9846},
pages = {69--83},
type = {Konferenz-Beitrag},
month = {September},
year = {2016},
doi = {10.1007/978-3-319-44482-6_5},
language = {Englisch},
cr-category = {H.4.1 Office Automation},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The continuous growth of the Internet of Things together with the complexity of
modern information systems results in several challenges for modeling,
provisioning, executing, and maintaining systems that are capable of adapting
themselves to changing situations in dynamic environments. The properties of
the workflow technology, such as its recovery features, makes this technology
suitable to be leveraged in such environments. However, the realization of
situation-aware mechanisms that dynamically adapt process executions to
changing situations is not trivial and error prone, since workflow modelers
cannot reflect all possibly occurring situations in complex environments in
their workflow models. In this paper, we present a method and concepts to
enable modelers to create traditional, situation-independent workflow models
that are automatically transformed into situation-aware workflow models that
cope with dynamic contextual situations. Our work builds upon the usage of
workflow fragments, which are dynamically selected during runtime to cope with
prevailing situations retrieved from low-level context sensor data. We validate
the practical feasibility of our work by a prototypical implementation of a
Situation-aware Workflow Management System (SaWMS) that supports the presented
concepts.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2016-27&engl=0}
}
@article {ART-2019-15,
author = {Jasmin Guth and Frank Leymann},
title = {{Pattern-based rewrite and refinement of architectures using graph theory}},
journal = {Software-Intensive Cyber-Physical Systems (SICS)},
publisher = {Springer Berlin Heidelberg},
pages = {1--12},
type = {Artikel in Zeitschrift},
month = {August},
year = {2019},
isbn = {10.1007/s00450-019-00416-7},
keywords = {Application architecture; Patterns; Refinement; Rewrite; Graph transformation},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
C.2.4 Distributed Systems,
D.2.1 Software Engineering Requirements/Specifications,
K.6 Management of Computing and Information Systems},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {With the continuous growth of IT application systems, the complexity of
architecture modeling and development increases. Patterns document proven
solutions for recurring problems in an abstract and human readable manner.
Within the domain of IT architectures, they should support the architecture
modeling and development process. Due to the documentation of patterns as text
documents, they cannot be applied to an architecture automatically: patterns
have to be read, understood, adapted to the corresponding use case, and
realized manually over and over again. Consequently, architecture modeling
considering the variety of documented patterns becomes even more complex and
time-consuming. To tackle these issues, we introduce an approach and for an
automated application and realization of patterns in architectural graphs using
graph transformation techniques. This eases the architecture modeling process
in which proven solutions for recurring problems can be selected as required
and applied automatically. We present the concept, formalization, and validate
our approach based on an application example.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2019-15&engl=0}
}
@inbook {INBOOK-2018-01,
author = {Jasmin Guth and Uwe Breitenb{\"u}cher and Michael Falkenthal and Paul Fremantle and Oliver Kopp and Frank Leymann and Lukas Reinfurt},
title = {{A Detailed Analysis of IoT Platform Architectures: Concepts, Similarities, and Differences}},
series = {Internet of Everything: Algorithms, Methodologies, Technologies and Perspectives},
publisher = {Springer},
pages = {81--101},
type = {Beitrag in Buch},
month = {Januar},
year = {2018},
isbn = {10.1007/978-981-10-5861-5_4},
keywords = {Internet of Things; IoT; Platform; Reference Architecture; FIWARE; OpenMTC; SiteWhere; Webinos; AWS IoT; IBM Watson IoT Platform; Microsoft Azure IoT Hub},
language = {Englisch},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.4.7 Operating Systems Organization and Design,
H.3.4 Information Storage and Retrieval Systems and Software},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware;
Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The IoT is gaining increasing attention. The overall aim is to interconnect the
physical with the digital world. Therefore, the physical world is measured by
sensors and translated into processible data, and data has to be translated
into commands to be executed by actuators. Due to the growing interest in IoT,
the number of platforms designed to support IoT has risen considerably. As a
result of different approaches, standards, and use cases, there is a wide
variety and heterogeneity of IoT platforms. This leads to difficulties in
comprehending, selecting, and using appropriate platforms. In this work, we
tackle these issues by conducting a detailed analysis of several
state-of-the-art IoT platforms in order to foster the understanding of the (i)
underlying concepts, (ii) similarities, and (iii) differences between them. We
show that the various components of the different platforms can be mapped to an
abstract reference architecture, and analyze the effectiveness of this mapping.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2018-01&engl=0}
}