@inproceedings {INPROC-2020-22,
author = {Michael Zimmermann and Uwe Breitenb{\"u}cher and Lukas Harzenetter and Frank Leymann and Vladimir Yussupov},
title = {{Self-Contained Service Deployment Packages}},
booktitle = {Proceedings of the 10th International Conference on Cloud Computing and Services Science (CLOSER 2020)},
editor = {Donald Ferguson and Markus Helfert and Claus Pahl},
publisher = {SciTePress},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {371--381},
type = {Konferenz-Beitrag},
month = {Mai},
year = {2020},
isbn = {978-989-758-424-4},
doi = {10.5220/0009414903710381},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
D.2 Software Engineering},
ee = {http://closer.scitevents.org/},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Complex applications are typically composed of multiple components. In order to
install these components all their dependencies need to be satisfied. Typically
these dependencies are resolved, downloaded, and installed during the
deployment time and in the target environment, e.g., using package manager of
the operating system. However, under some circumstances this approach is not
applicable, e.g., if the access to the Internet is limited or non-existing at
all. For instance, Industry 4.0 environments often have no Internet access for
security reasons. Thus, in these cases, deployment packages without external
dependencies are required that already contain everything required to deploy
the software. In this paper, we present an approach enabling the transformation
of non-self-contained deployment packages into self-contained deployment
packages. Furthermore, we present a method for developing self-contained
deployment packages systematically. The practical feasibility is validated by a
prototypical implementation following our proposed system architecture.
Moreover, our prototype is evaluated by provisioning a LAMP stack using the
open-source ecosystem OpenTOSCA.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-22&engl=0}
}
@inproceedings {INPROC-2020-21,
author = {Michael Zimmermann and Uwe Breitenb{\"u}cher and K{\'a}lm{\'a}n K{\'e}pes and Frank Leymann and Benjamin Weder},
title = {{Data Flow Dependent Component Placement of Data Processing Cloud Applications}},
booktitle = {Proceedings of the 2020 IEEE International Conference on Cloud Engineering (IC2E)},
publisher = {IEEE Computer Society},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {83--94},
type = {Konferenz-Beitrag},
month = {April},
year = {2020},
isbn = {978-1-7281-1099-8},
doi = {10.1109/IC2E48712.2020.00016},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
D.2 Software Engineering},
ee = {https://conferences.computer.org/IC2E},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {With the ongoing advances in the area of cloud computing, Internet of Things,
Industry 4.0, and the increasing prevalence of cyber-physical systems and
devices equipped with sensors, the amount of data generated every second is
rising steadily. Thereby, the gathering of data and the creation of added value
from this data is getting easier and easier. However, the increasing volume of
data stored in the cloud leads to new challenges. Analytics software and
scalable platforms are required to evaluate the data distributed all over the
internet. But with distributed applications and large data sets to be handled,
the network becomes a bottleneck. Therefore, in this work, we present an
approach to automatically improve the deployment of such applications regarding
the placement of data processing components dependent on the data flow of the
application. To show the practical feasibility of our approach, we implemented
a prototype based on the open-source ecosystem OpenTOSCA. Moreover, we
evaluated our prototype using various scenarios.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-21&engl=0}
}
@inproceedings {INPROC-2018-56,
author = {Ulrich Odefey and Felix Baumann and Gerd Gr{\"u}nert and Sebastian Hudert and Michael Zimmermann and Michael Falkenthal and Frank Leymann},
title = {{Manufacturing Smart Services for automotive production lines}},
booktitle = {18. Internationales Stuttgarter Symposium},
editor = {Michael Bargende and Hans-Christian Reuss and Jochen Wiedemann},
publisher = {Springer Fachmedien},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {813--825},
type = {Konferenz-Beitrag},
month = {Mai},
year = {2018},
isbn = {978-3-658-21194-3},
language = {Englisch},
cr-category = {K.6 Management of Computing and Information Systems,
D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The intelligent exploitation of sensor data and order parameters from modern
production systems is one of the biggest challenges in the context of
Industry4.0. Currently, data from single machines are processed individually
and not integrated with upstream or downstream processes. This case is
prevalent in automotive assembly lines. Here, numerous machining tools from
different vendors prohibit a smooth collaboration. However, only the
aggregation of the entirety of available data sources permits a comprehensive
and intelligent analysis and optimization of production lines. This approach
leads to the regulation and behavior prediction of single components and
finally of whole production systems. Such an intelligent assessment can be
realized by Smart Services which are self-contained application containers
allowing for efficient data analytics in modern production lines. The SePiA.Pro
project develops and investigates a self-describing and secure packaging format
for Smart Services facilitating their automatic provisioning. The project
implements an open, standard- and cloud-based platform consisting of a
modelling environment for Smart Services; a repository for the exchange of
Smart Services; and a provisioning engine for automated deployment of Smart
Services. Said platform opens up modern data analytics capabilities for anyone,
as both customers and suppliers of analytics services. Use cases from
automotive manufacturing demonstrate the value of the developed solution.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-56&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-2018-36,
author = {Vladimir Yussupov and Michael Falkenthal and Oliver Kopp and Frank Leymann and Michael Zimmermann},
title = {{Secure Collaborative Development of Cloud Application Deployment Models}},
booktitle = {Proceedings of The Twelfth International Conference on Emerging Security Information, Systems and Technologies (SECURWARE 2018)},
editor = {Georg Yee and Stefan Rass and Stefan Schauer and Martin Latzenhofer},
publisher = {Xpert Publishing Services},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {48--57},
type = {Konferenz-Beitrag},
month = {September},
year = {2018},
isbn = {9781612086613},
language = {Englisch},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.4.6 Operating Systems Security and Protection},
contact = {Vladimir Yussupov yussupov@iaas.uni-stuttgart.de},
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-2018-36&engl=0}
}
@inproceedings {INPROC-2018-32,
author = {Michael Zimmermann and Uwe Breitenb{\"u}cher and Christoph Krieger and Frank Leymann},
title = {{Deployment Enforcement Rules for TOSCA-based Applications}},
booktitle = {Proceedings of The Twelfth International Conference on Emerging Security Information, Systems and Technologies (SECURWARE 2018)},
editor = {Georg Yee and Stefan Rass and Stefan Schauer and Martin Latzenhofer},
publisher = {Xpert Publishing Services},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {114--121},
type = {Konferenz-Beitrag},
month = {September},
year = {2018},
isbn = {9781612086613},
language = {Englisch},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.4.6 Operating Systems Security and Protection},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {In the context of Industry 4.0, gathering sensor dataand using data analysis
software can lead to actionable insights,for example, enabling predictive
maintenance. Since developingthese data analysis software requires some special
expert knowl-edge, often external data scientist are charged for that.
However,often the data to be analyzed is of vital importance and thus,must not
leave the company. Therefore, applications developedand modeled as deployment
models by third-parties have tobe enforced to be executed in the local
company’s network.However, manually adapting a lot of these deployment modelsin
order to meet the company’s requirements is cumbersome,time consuming and
error-prone. Furthermore, some kind ofenforcement mechanism is required to
really ensure that thesedata security and privacy requirements are fulfilled.
Thus, in thispaper, we present an approach considering these issues duringthe
deployment time of the application. The presented approachis based on the
Topology and Orchestration Specification forCloud Applications (TOSCA), an
OASIS standard enabling thedescription of cloud applications as well as their
deployment. Theapproach enables the specification as well as the enforcement
ofreoccurring and generic requirements and restrictions of TOSCA-based
declarative deployment models, without the need to adaptor modify these
deployment models. The practical feasibilityof the presented approach is
validated by extending our open-source prototype OpenTOSCA, which provides a
modeling tool,a TOSCA Runtime, as well as a self-service portal for TOSCA.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-32&engl=0}
}
@inproceedings {INPROC-2018-31,
author = {Michael Zimmermann and Uwe Breitenb{\"u}cher and Frank Leymann},
title = {{A Method and Programming Model for Developing Interacting Cloud Applications Based on the TOSCA Standard}},
booktitle = {Enterprise Information Systems},
publisher = {Springer International Publishing},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
series = {Lecture Notes in Business Information Processing},
volume = {321},
pages = {265--290},
type = {Konferenz-Beitrag},
month = {Juni},
year = {2018},
doi = {10.1007/978-3-319-93375-7},
language = {Englisch},
cr-category = {D.2.3 Software Engineering Coding Tools and Techniques,
D.2.11 Software Engineering Software Architectures},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Many cloud applications are composed of several interacting components and
services. The communication between these components can be enabled, for
example, by using standards such as WSDL and the workflow technology. In order
to wire these components several endpoints must be exchanged, e.g., the IP
addresses of deployed services. However, this exchange of endpoint information
is highly dependent on the (i) middleware technologies, (ii) programming
languages, and (iii) deployment technology used in a concrete scenario and,
thus, increases the complexity of implementing such interacting applications.
In this paper, we propose a programming model that eases the implementation of
interacting components of automatically deployed TOSCA-based applications.
Furthermore, we present a method following our programming model, which
describes how such a cloud application can be systematically modeled,
developed, and automatically deployed based on the TOSCA standard and how code
generation capabilities can be utilized for this. The practical feasibility of
the presented approach is validated by a system architecture and a prototypical
implementation based on the OpenTOSCA ecosystem. This work is an extension of
our previous research we presented at the International Conference on
Enterprise Information Systems (ICEIS).},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-31&engl=0}
}
@inproceedings {INPROC-2018-25,
author = {Karoline Saatkamp and Uwe Breitenb{\"u}cher and K{\'a}lm{\'a}n K{\'e}pes and Frank Leymann and Michael Zimmermann},
title = {{OpenTOSCA Injector: Vertical and Horizontal Topology Model Injection}},
booktitle = {Service-Oriented Computing - ICSOC 2017 Workshop},
publisher = {Springer International Publishing},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
series = {LNCS},
volume = {10797},
pages = {379--383},
type = {Demonstration},
month = {Januar},
year = {2018},
isbn = {10.1007/978-3-319-91764-1},
keywords = {TOSCA; Deployment Model; Completion Automation},
language = {Englisch},
cr-category = {D.2.2 Software Engineering Design Tools and Techniques,
D.2.9 Software Engineering Management},
ee = {http://www.icsoc.spilab.es/},
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-2018-25&engl=0}
}
@inproceedings {INPROC-2017-63,
author = {Michael Falkenthal and Felix W. Baumann and Gerd Gr{\"u}nert and Sebastian Hudert and Frank Leymann and Michael Zimmermann},
title = {{Requirements and Enforcement Points for Policies in Industrial Data Sharing Scenarios}},
booktitle = {Proceedings of the 11th Advanced Summer School on Service Oriented Computing},
publisher = {IBM Research Division},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {28--40},
type = {Konferenz-Beitrag},
month = {November},
year = {2017},
keywords = {Requirements; Policies; Data Aggregation; Industrial Data; Data Integration; Industry 4.0},
language = {Englisch},
cr-category = {K.6 Management of Computing and Information Systems,
D.2.13 Software Engineering Reusable Software},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Industry 4.0 endeavors often integrate and analyze a multitude of data, such as
data about machinery, production steps, and environmental conditions, in order
to optimize manufacturing processes. Thereby, they aim to reveal information
hidden in formerly isolated data silos via holistic analytics approaches.
However, the integration of such data silos is often accompanied by challenges
according legal regulations, organizational obstructions, and technical
implementations, among others. Therefore, in this work we present a list of key
challenges, which have to be commonly overcome in integration projects dealing
with essential data from production processes. They can be used as a check list
to address recurring challenges in future Industry 4.0 projects. Finally, we
identify several plug-points in an abstract integration architecture, which
have to be considered in concrete projects at hand to enforced the
requirements.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-63&engl=0}
}
@inproceedings {INPROC-2017-60,
author = {Felix W. Baumann and Ulrich Odefey and Sebastian Hudert and Michael Falkenthal and Michael Zimmermann},
title = {{Cyber-physical System Control via Industrial Protocol OPC UA}},
booktitle = {Proceedings of the Eleventh International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2017)},
publisher = {Xpert Publishing Services},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {45--49},
type = {Konferenz-Beitrag},
month = {November},
year = {2017},
language = {Englisch},
cr-category = {C.2.4 Distributed Systems,
C.3 Special-Purpose and Application-Based Systems,
H.3.4 Information Storage and Retrieval Systems and Software},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The integration of cyber-physical systems (CPS) is gaining more and more
momentum due to the advent of Industry 4.0. Thereby, one of the main challenges
is to facilitate the connection to arbitrary machinery in order to monitor and
control these automatically. Such a control flexibilizes production processes
by enabling quick adaptions of production steps. Therefore, in this work, a
system is described that enables the control of a 3D printer via the industrial
standardized Machine-to-Machine (M2M) communication protocol Open Platform
Communications Unified Architecture (OPC UA). The system is implemented on the
basis of a micro computing platform, in this case a Raspberry Pi 2, and
utilizes open-source libraries and tools. The implementation creates a
cyber-physical system, consisting of a 3D printer, its control system, sensor
data acquisition systems and their respective digital representation. With this
control system, the usage of consumer-centric 3D printers, such as Fused
Deposition Modeling (FDM) printers, in enterprise-like scenarios is enabled.
This abstract and universal control mechanism facilitates research in 3D
printing control structures and industrial application.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-60&engl=0}
}
@inproceedings {INPROC-2017-57,
author = {Michael Zimmermann and Michael Falkenthal and Frank Leymann and Felix W. Baumann and Ulrich Odefey},
title = {{Automating the Provisioning and Integration of Analytics Tools with Data Resources in Industrial Environments using OpenTOSCA}},
booktitle = {Proceedings of the 2017 IEEE 21st International Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW 2017)},
publisher = {IEEE Computer Society},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {3--7},
type = {Workshop-Beitrag},
month = {Oktober},
year = {2017},
doi = {10.1109/EDOCW.2017.10},
language = {Englisch},
cr-category = {D.2.13 Software Engineering Reusable Software},
ee = {http://edoc2017.ca/},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The fourth industrial revolution is driven by the integration and analysis of a
vast amount of diverse data. Thereby, data about production steps, overall
manufacturing processes, and also supporting processes is gathered to enable
holistic analysis approaches. These approaches promise to provide new insights
and knowledge by revealing cost saving possibilities and also automated
adjustments of production processes. However, such scenarios typically require
analytics services and data integration stacks since algorithms have to be
developed, executed and therefore be wired with the data to be processed. This
leads to complex setups of overall analytics environments that have to be
installed, configured and managed according to the needs of different analysis
scenarios and setups. The manual execution of such installations is
time-consuming and error-prone. Therefore, we demonstrate how the different
components of such combined integration and analytics scenarios can be modelled
in order to be reused in different settings, while enabling the fully automated
provisioning of overall analytics stacks and services.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-57&engl=0}
}
@inproceedings {INPROC-2017-56,
author = {Michael Zimmermann and Uwe Breitenb{\"u}cher and Michael Falkenthal and Frank Leymann and Karoline Saatkamp},
title = {{Standards-based Function Shipping - How to use TOSCA for Shipping and Executing Data Analytics Software in Remote Manufacturing Environments}},
booktitle = {Proceedings of the 2017 IEEE 21st International Enterprise Distributed Object Computing Conference (EDOC 2017)},
publisher = {IEEE Computer Society},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {50--60},
type = {Konferenz-Beitrag},
month = {Oktober},
year = {2017},
doi = {10.1109/EDOC.2017.16},
language = {Englisch},
cr-category = {D.2.13 Software Engineering Reusable Software},
ee = {http://edoc2017.ca/},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The increasing amount of gathered sensor data in Industry 4.0 allows
comprehensive data analysis software that creates value-adding opportunities.
As companies often cannot implement such software by themselves and as they
typically don't want to give their data to external scientists, they commission
them to build the required software in order to execute it locally. However,
installing, configuring, and running complex third party software on another
company's infrastructure and linking them to local data sources challenges the
responsible administrators due to an immense technical complexity. Moreover,
standards-based approaches for automation are missing. In this paper, we
present three TOSCA-based deployment modelling approaches for function shipping
that enable modelling data analysis software in a way that enables (i) its
automated deployment and execution in a remote, foreign IT infrastructure
including (ii) the wiring with the data sources that need to be processed in
this environment. We validate the practical feasibility of the presented
modelling approaches by a case study from the domain of manufacturing, which is
based on the open-source TOSCA ecosystem OpenTOSCA, which provides a modelling
tool, a runtime, as well as a self-service portal for TOSCA.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-56&engl=0}
}
@inproceedings {INPROC-2017-45,
author = {K{\'a}lm{\'a}n K{\'e}pes and Uwe Breitenb{\"u}cher and Markus Philipp Fischer and Frank Leymann and Michael Zimmermann},
title = {{Policy-Aware Provisioning Plan Generation for TOSCA-based Applications}},
booktitle = {Proceedings of The Eleventh International Conference on Emerging Security Information, Systems and Technologies (SECURWARE 2017)},
publisher = {Xpert Publishing Services},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {142--149},
type = {Konferenz-Beitrag},
month = {September},
year = {2017},
isbn = {978-1-61208-582-1},
language = {Englisch},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.4.6 Operating Systems Security and Protection},
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-2017-45&engl=0}
}
@inproceedings {INPROC-2017-29,
author = {Alfonso Panarello and Uwe Breitenb{\"u}cher and Frank Leymann and Antonio Puliafito and Michael Zimmermann},
title = {{Automating the Deployment of Multi-Cloud Applications in Federated Cloud Environments}},
booktitle = {Proceedings of the 10th EAI International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS)},
publisher = {ACM},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {1--8},
type = {Konferenz-Beitrag},
month = {Mai},
year = {2017},
isbn = {978-1-63190-141-6},
keywords = {Cloud Federation; Federated Multi-Cloud Deployment; Deployment Automation; TOSCA; XMPP},
language = {Englisch},
cr-category = {K.6 Management of Computing and Information Systems},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Cloud federation allows cloud providers to dynamically use resources of other
federated providers in order to fulfill the requirements of customer requests.
This concept enables the federated cloud providers to use external resources
for increasing their profit as they do not have to reject customers in case
their own resources are occupied. However, (i) comparing the offers of the
federated providers in order to decide which provider to use as well as (ii)
adapting the installation scripts of the components to be deployed for the
different providers is complex, error-prone, and time consuming. In this paper,
we present an approach that enables customers to describe their desired
application deployments in the form of a topology model that is independent of
any concrete provider. We show how this model can be automatically adapted by a
provider participating in a cloud federation to deploy components on different
other participants. To ensure the practical feasibility of the approach, we
employ the TOSCA standard for describing these models and present a technical
system architecture based on existing technologies.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-29&engl=0}
}
@inproceedings {INPROC-2017-16,
author = {Michael Zimmermann and Uwe Breitenb{\"u}cher and Frank Leymann},
title = {{A TOSCA-based Programming Model for Interacting Components of Automatically Deployed Cloud and IoT Applications}},
booktitle = {Proceedings of the 19th International Conference on Enterprise Information Systems (ICEIS)},
publisher = {SciTePress},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
type = {Konferenz-Beitrag},
month = {April},
year = {2017},
language = {Englisch},
cr-category = {D.2.3 Software Engineering Coding Tools and Techniques,
D.2.11 Software Engineering Software Architectures},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Cloud applications typically consist of multiple components interacting with
each other. Service-orientation, standards such as WSDL, and the workflow
technology provide common means to enable the interaction between these
components. Nevertheless, during the automated application deployment,
endpoints of interacting components, e.g., URLs of deployed services, still
need to be exchanged: the components must be wired. However, this exchange
mainly depends on the used (i) middleware technologies, (ii) programming
languages, and (iii) deployment technologies, which limits the application’s
portability and increases the complexity of implementing components. In this
paper, we present a programming model for easing the implementation of
interacting components of automatically deployed applications. The presented
programming model is based on the TOSCA standard and enables invoking
components by their identifiers and interface descriptions contained in the
application’s TOSCA model. The approach can be applied to Cloud and IoT
applications, i.e., also software hosted on physical devices may use the
approach to call other application components. To validate the practical
feasibility of the approach, we present a system architecture and prototype
based on OpenTOSCA.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-16&engl=0}
}
@inproceedings {INPROC-2016-40,
author = {Michael Falkenthal and Uwe Breitenb{\"u}cher and K{\'a}lm{\'a}n K{\'e}pes and Frank Leymann and Michael Zimmermann and Maximilian Christ and Julius Neuffer and Nils Braun and Andreas W. Kempa-Liehr},
title = {{OpenTOSCA for the 4th Industrial Revolution: Automating the Provisioning of Analytics Tools Based on Apache Flink}},
booktitle = {Proceedings of the 6th International Conference on the Internet of Things},
publisher = {ACM},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {179--180},
type = {Demonstration},
month = {Oktober},
year = {2016},
keywords = {4th Industrial Revolution; Cyber-Physical Systems; Apache Flink; Data Mock Services; Machine Learning; TOSCA},
language = {Englisch},
cr-category = {K.6 Management of Computing and Information Systems,
D.2.6 Software Engineering Programming Environments},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The 4th industrial revolution entails new levels of data driven value chain
organization and management. In industrial environments, the optimization of
whole production lines based on machine learning algorithms allow to generate
huge business value. Still, one of the open challenges is how to process the
collected data as close to the data sources as possible. To fill this gap, this
paper presents an OpenTOSCA-based toolchain that is capable of automatically
provisioning Apache Flink as a holistic analytics environment altogether with
specialized machine learning algorithms. This stack can be deployed as close to
the production line as possible to enable data driven optimization. Further, we
demonstrate how the analytics stack can be modeled based on TOSCA to be
automatically provisioned considering specific mock services to simulate
machine metering in the development phase of the algorithms.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2016-40&engl=0}
}
@inproceedings {INPROC-2016-33,
author = {Michael Falkenthal and Uwe Breitenb{\"u}cher and Maximilian Christ and Christian Endres and Andreas W. Kempa-Liehr and Frank Leymann and Michael Zimmermann},
title = {{Towards Function and Data Shipping in Manufacturing Environments: How Cloud Technologies leverage the 4th Industrial Revolution}},
booktitle = {Proceedings of the 10th Advanced Summer School on Service Oriented Computing},
publisher = {IBM Research Report},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
series = {IBM Research Report},
pages = {16--25},
type = {Konferenz-Beitrag},
month = {September},
year = {2016},
keywords = {cyber-physical systems; data shipping; fourth industrial revolution; function shipping; tosca; industry 4.0},
language = {Englisch},
cr-category = {K.6 Management of Computing and Information Systems,
D.2.13 Software Engineering Reusable Software},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Advances in the field of cloud computing and the Internet of Things are
boosting the 4th industrial revolution. New research and developments foster
the emergence of smart services, which augment conventional machinery to become
smart cyber-physical systems. The resulting systems are characterized by
providing preemptive functionality to automatically react on circumstances and
changes in their physical environment. In this paper we sketch our vision of
how to automatically provision smart services in manufacturing environments,
whereby the paradigms of function and data shipping are specifically
considered. To base this approach upon a clear understanding of influences, we
point out key challenges in the context of smart services for Industry 4.0.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2016-33&engl=0}
}
@inproceedings {INPROC-2014-22,
author = {Johannes Wettinger and Tobias Binz and Uwe Breitenb{\"u}cher and Oliver Kopp and Frank Leymann and Michael Zimmermann},
title = {{Unified Invocation of Scripts and Services for Provisioning, Deployment, and Management of Cloud Applications Based on TOSCA}},
booktitle = {Proceedings of the 4th International Conference on Cloud Computing and Services Science (CLOSER 2014)},
publisher = {SciTePress},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {559--568},
type = {Konferenz-Beitrag},
month = {April},
year = {2014},
language = {Englisch},
cr-category = {K.6 Management of Computing and Information Systems,
C.2.4 Distributed Systems},
contact = {E-mail: johannes.wettinger@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {There are several script-centric approaches, APIs, and tools available to
implement automated provisioning, deployment, and management of applications in
the Cloud. The automation of all these aspects is key for reducing costs.
However, most of these approaches are script-centric and provide proprietary
solutions employing different invocation mechanisms, interfaces, and state
models. Moreover, most Cloud providers offer proprietary Web services or APIs
to be used for provisioning and management purposes. Consequently, it is hard
to create deployment and management plans integrating several of these
approaches. The goal of our work is to come up with an approach for unified
invocation of scripts and services without handling each proprietary interface
separately. A prototype realizes the presented approach in a standards-based
manner using the Topology and Orchestration Specification for Cloud
Applications (TOSCA).},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-22&engl=0}
}
@article {ART-2016-26,
author = {Uwe Breitenb{\"u}cher and Christian Endres and K{\'a}lm{\'a}n K{\'e}pes and Oliver Kopp and Frank Leymann and Sebastian Wagner and Johannes Wettinger and Michael Zimmermann},
title = {{The OpenTOSCA Ecosystem - Concepts \& Tools}},
journal = {European Space project on Smart Systems, Big Data, Future Internet - Towards Serving the Grand Societal Challenges - Volume 1: EPS Rome 2016},
publisher = {SciTePress},
pages = {112--130},
type = {Artikel in Zeitschrift},
month = {Dezember},
year = {2016},
isbn = {978-989-758-207-3},
doi = {10.5220/0007903201120130},
keywords = {TOSCA; OpenTOSCA; Orchestration; Management; Cloud},
language = {Englisch},
cr-category = {D.2.2 Software Engineering Design Tools and Techniques,
D.2.9 Software Engineering Management},
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 = {Automating the provisioning and management of Cloud applications is one of the
most important issues in Cloud Computing. The Topology and Orchestration
Specification for Cloud Applications (TOSCA) is an OASIS standard for
describing Cloud applications and their management in a portable and
interoperable manner. TOSCA enables modeling the application's structure in the
form of topology models and employs the concept of executable management plans
to describe all required management functionality regarding the application. In
this paper, we give an overview of TOSCA and the OpenTOSCA Ecosystem, which is
an implementation of the TOSCA standard. The ecosystem consists of
standard-compliant tools that enable modeling application topology models and
automating the provisioning and management of the modeled applications.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2016-26&engl=0}
}