@inproceedings {INPROC-2020-49,
author = {Vladimir Yussupov and Uwe Breitenb{\"u}cher and Christoph Krieger and Frank Leymann and Jacopo Soldani and Michael Wurster},
title = {{Pattern-based Modelling, Integration, and Deployment of Microservice Architectures}},
booktitle = {Proceedings of the 2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC 2020)},
publisher = {IEEE Computer Society},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {40--50},
type = {Konferenz-Beitrag},
month = {Oktober},
year = {2020},
doi = {10.1109/EDOC49727.2020.00015},
keywords = {Microservice Architecture; Service Composition; Enterprise Integration Pattern; Model-driven Engineering},
language = {Englisch},
cr-category = {D.2.2 Software Engineering Design Tools and Techniques,
D.2.11 Software Engineering Software Architectures},
ee = {https://is.ieis.tue.nl/edoc20/},
contact = {Vladimir Yussupov yussupov@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Microservice-based architectures (MSAs) gained momentum in industrial and
research communities since finer-grained and more independent components foster
reuse and reduce time to market. However, to come from the design of MSAs to
running applications, substantial knowledge and technology-specific expertise
in the deployment and integration of microservices is needed. In this paper, we
propose a model-driven and pattern-based approach for composing microservices,
which facilitates the transition from architectural models to running
deployments. Using a unified modelling for MSAs, including both their
integration based on Enterprise Integration Patterns (EIPs) and deployment
aspects, our approach enables automatically generating the artefacts for
deploying microservice compositions. This helps abstracting away the underlying
infrastructure including container orchestration platforms and middleware layer
for service integration. To validate the feasibility of our approach, we
illustrate its prototypical implementation, with Kubernetes used as container
orchestration system and OpenFaaS used for managing integration logic, and we
present a case study.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-49&engl=0}
}
@inproceedings {INPROC-2020-46,
author = {Michael Wurster and Uwe Breitenb{\"u}cher and Lukas Harzenetter and Frank Leymann and Jacopo Soldani},
title = {{TOSCA Lightning: An Integrated Toolchain for Transforming TOSCA Light into Production-Ready Deployment Technologies}},
booktitle = {Advanced Information Systems Engineering (CAiSE Forum 2020)},
publisher = {Springer},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {138--146},
type = {Demonstration},
month = {August},
year = {2020},
doi = {10.1007/978-3-030-58135-0_12},
language = {Englisch},
cr-category = {D.2.2 Software Engineering Design Tools and Techniques},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The OASIS standard TOSCA provides a portable means for specifying multi-service
applications and automating their deployment. Despite TOSCA is widely used in
research, it is currently not supported by the production-ready deployment
technologies daily used by practitioners, hence resulting in a gap between the
state-of-the-art in research and the state-of-practice in industry. To help
bridging this gap, we identified TOSCA Light, a subset of TOSCA enabling the
transformation of compliant deployment models to the vast majority of
deployment technology-specific models used by practitioners nowadays. In this
paper, we demonstrate TOSCA Lightning by two contributions. We (i) present an
integrated toolchain for specifying multi-service applications with TOSCA Light
and transforming them into different production-ready deployment technologies.
Additionally, we (ii) demonstrate the toolchain's effectiveness based on a
third-party application and Kubernetes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-46&engl=0}
}
@inproceedings {INPROC-2020-44,
author = {Michael Wurster and Uwe Breitenb{\"u}cher and Lukas Harzenetter and Frank Leymann and Jacopo Soldani},
title = {{TOSCA Lightning: An Integrated Toolchain for Transforming TOSCA Light into Production-Ready Deployment Technologies}},
booktitle = {Advanced Information Systems Engineering. CAiSE 2020.},
publisher = {Springer},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {138--146},
type = {Demonstration},
month = {August},
year = {2020},
doi = {10.1007/978-3-030-58135-0_12},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
D.2 Software Engineering},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The OASIS standard TOSCA provides a portable means for specifying multi-service
applications and automating their deployment. Despite TOSCA is widely used in
research, it is currently not supported by the production-ready deployment
technologies daily used by practitioners, hence resulting in a gap between the
state-of-the-art in research and the state-of-practice in industry. To help
bridging this gap, we identified TOSCA Light, a subset of TOSCA enabling the
transformation of compliant deployment models to the vast majority of
deployment technology-specific models used by practitioners nowadays. In this
paper, we demonstrate TOSCA Lightning by two contributions. We (i) present an
integrated toolchain for specifying multi-service applications with TOSCA Light
and transforming them into different production-ready deployment technologies.
Additionally, we (ii) demonstrate the toolchain's effectiveness based on a
third-party application and Kubernetes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-44&engl=0}
}
@inproceedings {INPROC-2020-43,
author = {Michael Wurster and Uwe Breitenb{\"u}cher and Lukas Harzenetter and Frank Leymann and Jacopo Soldani},
title = {{TOSCA Lightning: An Integrated Toolchain for Transforming TOSCA Light into Production-Ready Deployment Technologies}},
booktitle = {Advanced Information Systems Engineering. CAiSE 2020.},
publisher = {Springer},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {138--146},
type = {Demonstration},
month = {August},
year = {2020},
doi = {10.1007/978-3-030-58135-0_12},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
D.2 Software Engineering},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The OASIS standard TOSCA provides a portable means for specifying multi-service
applications and automating their deployment. Despite TOSCA is widely used in
research, it is currently not supported by the production-ready deployment
technologies daily used by practitioners, hence resulting in a gap between the
state-of-the-art in research and the state-of-practice in industry. To help
bridging this gap, we identified TOSCA Light, a subset of TOSCA enabling the
transformation of compliant deployment models to the vast majority of
deployment technology-specific models used by practitioners nowadays. In this
paper, we demonstrate TOSCA Lightning by two contributions. We (i) present an
integrated toolchain for specifying multi-service applications with TOSCA Light
and transforming them into different production-ready deployment technologies.
Additionally, we (ii) demonstrate the toolchain's effectiveness based on a
third-party application and Kubernetes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-43&engl=0}
}
@inproceedings {INPROC-2020-42,
author = {Michael Wurster and Uwe Breitenb{\"u}cher and Lukas Harzenetter and Frank Leymann and Jacopo Soldani},
title = {{TOSCA Lightning: An Integrated Toolchain for Transforming TOSCA Light into Production-Ready Deployment Technologies}},
booktitle = {Advanced Information Systems Engineering. CAiSE 2020.},
publisher = {Springer},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {138--146},
type = {Demonstration},
month = {August},
year = {2020},
doi = {10.1007/978-3-030-58135-0_12},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
D.2 Software Engineering},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The OASIS standard TOSCA provides a portable means for specifying multi-service
applications and automating their deployment. Despite TOSCA is widely used in
research, it is currently not supported by the production-ready deployment
technologies daily used by practitioners, hence resulting in a gap between the
state-of-the-art in research and the state-of-practice in industry. To help
bridging this gap, we identified TOSCA Light, a subset of TOSCA enabling the
transformation of compliant deployment models to the vast majority of
deployment technology-specific models used by practitioners nowadays. In this
paper, we demonstrate TOSCA Lightning by two contributions. We (i) present an
integrated toolchain for specifying multi-service applications with TOSCA Light
and transforming them into different production-ready deployment technologies.
Additionally, we (ii) demonstrate the toolchain's effectiveness based on a
third-party application and Kubernetes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-42&engl=0}
}
@inproceedings {INPROC-2020-41,
author = {Michael Wurster and Uwe Breitenb{\"u}cher and Lukas Harzenetter and Frank Leymann and Jacopo Soldani},
title = {{TOSCA Lightning: An Integrated Toolchain for Transforming TOSCA Light into Production-Ready Deployment Technologies}},
booktitle = {Advanced Information Systems Engineering. CAiSE 2020.},
publisher = {Springer},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {138--146},
type = {Demonstration},
month = {August},
year = {2020},
doi = {10.1007/978-3-030-58135-0_12},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
D.2 Software Engineering},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The OASIS standard TOSCA provides a portable means for specifying multi-service
applications and automating their deployment. Despite TOSCA is widely used in
research, it is currently not supported by the production-ready deployment
technologies daily used by practitioners, hence resulting in a gap between the
state-of-the-art in research and the state-of-practice in industry. To help
bridging this gap, we identified TOSCA Light, a subset of TOSCA enabling the
transformation of compliant deployment models to the vast majority of
deployment technology-specific models used by practitioners nowadays. In this
paper, we demonstrate TOSCA Lightning by two contributions. We (i) present an
integrated toolchain for specifying multi-service applications with TOSCA Light
and transforming them into different production-ready deployment technologies.
Additionally, we (ii) demonstrate the toolchain's effectiveness based on a
third-party application and Kubernetes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-41&engl=0}
}
@inproceedings {INPROC-2020-40,
author = {Michael Wurster and Uwe Breitenb{\"u}cher and Lukas Harzenetter and Frank Leymann and Jacopo Soldani},
title = {{TOSCA Lightning: An Integrated Toolchain for Transforming TOSCA Light into Production-Ready Deployment Technologies}},
booktitle = {Advanced Information Systems Engineering. CAiSE 2020.},
publisher = {Springer},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {138--146},
type = {Demonstration},
month = {August},
year = {2020},
doi = {10.1007/978-3-030-58135-0_12},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
D.2 Software Engineering},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The OASIS standard TOSCA provides a portable means for specifying multi-service
applications and automating their deployment. Despite TOSCA is widely used in
research, it is currently not supported by the production-ready deployment
technologies daily used by practitioners, hence resulting in a gap between the
state-of-the-art in research and the state-of-practice in industry. To help
bridging this gap, we identified TOSCA Light, a subset of TOSCA enabling the
transformation of compliant deployment models to the vast majority of
deployment technology-specific models used by practitioners nowadays. In this
paper, we demonstrate TOSCA Lightning by two contributions. We (i) present an
integrated toolchain for specifying multi-service applications with TOSCA Light
and transforming them into different production-ready deployment technologies.
Additionally, we (ii) demonstrate the toolchain's effectiveness based on a
third-party application and Kubernetes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-40&engl=0}
}
@inproceedings {INPROC-2020-26,
author = {Michael Wurster and Uwe Breitenb{\"u}cher and Lukas Harzenetter and Frank Leymann and Jacopo Soldani and Vladimir Yussupov},
title = {{TOSCA Light: Bridging the Gap between the TOSCA Specification and Production-ready Deployment Technologies}},
booktitle = {Proceedings of the 10th International Conference on Cloud Computing and Services Science (CLOSER)},
publisher = {SciTePress},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {216--226},
type = {Konferenz-Beitrag},
month = {Mai},
year = {2020},
doi = {10.5220/0009794302160226},
language = {Deutsch},
cr-category = {C.0 Computer Systems Organization, General,
D.2 Software Engineering},
contact = {Michael Wurster wurster@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The automation of application deployment is critical because manually deploying
applications is time-consuming, tedious, and error-prone. Several deployment
automation technologies have been developed in recent years employing
tool-specific deployment modeling languages. At the same time, the OASIS
standard Topology Orchestration Specification for Cloud Applications (TOSCA)
emerged as a means for describing cloud applications, i. e., their components
and relationships, in a vendor-agnostic fashion. Despite TOSCA is widely used
in research, it is not supported by the production-ready deployment automation
technologies daily used by practitioners working with cloud-native
applications, hence resulting in a gap between the state-of-the-art in research
and state-of-practice in the industry. To help bridging this gap, we leverage
the recently introduced Essential Deployment Metamodel (EDMM) and identify
TOSCA Light, an EDMM-compliant subset of TOSCA, to enact the transformation
from TOSCA to the vast majority of deployment automation technology-specific
models used by today{\^a}€™s software industry. Further, we present an end-to-end
TOSCA Light modeling and transformation workflow and show a prototypical
implementation to validate our approach.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-26&engl=0}
}
@inproceedings {INPROC-2020-25,
author = {Michael Wurster and Uwe Breitenb{\"u}cher and Antonio Brogi and Frank Leymann and Jacopo Soldani},
title = {{Cloud-native Deploy-ability: An Analysis of Required Features of Deployment Technologies to Deploy Arbitrary Cloud-native Applications}},
booktitle = {Proceedings of the 10th International Conference on Cloud Computing and Services Science (CLOSER)},
publisher = {SciTePress},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {171--180},
type = {Konferenz-Beitrag},
month = {Mai},
year = {2020},
doi = {10.5220/0009571001710180},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
D.2 Software Engineering},
contact = {Michael Wurster wurster@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The adoption of cloud computing combined with DevOps enables companies to react
to new market requirements more rapidly and fosters the use of automation
technologies. This influences the way software solutions are built, which is
why the concept of cloud-native applications has emerged over the last few
years to build highly scalable applications, and to automatically deploy and
run them in modern cloud environments. However, there is currently no reference
work clearly stating the features that a deployment technology must offer to
support the deployment of arbitrary cloud-native applications. In this paper,
we derive three essential features for deployment technologies based on the
current cloud-native research and characteristics discussed therein. The
presented features can be used to compare and categorize existing deployment
technologies, and they are intended to constitute a first step towards a
comprehensive framework to assess deployment technologies.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-25&engl=0}
}
@inproceedings {INPROC-2020-13,
author = {Michael Wurster and Uwe Breitenb{\"u}cher and Antonio Brogi and Lukas Harzenetter and Frank Leymann and Jacopo Soldani},
title = {{Technology-Agnostic Declarative Deployment Automation of Cloud Applications}},
booktitle = {Service-Oriented and Cloud Computing (ESOCC 2020)},
publisher = {Springer},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {97--112},
type = {Konferenz-Beitrag},
month = {M{\"a}rz},
year = {2020},
doi = {10.1007/978-3-030-44769-4_8},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
D.2 Software Engineering},
contact = {Michael Wurster wurster@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Declarative approaches for automating the deployment and configuration
management of multi-component applications are on the rise. Many deployment
technologies exist, sharing the same baselines for enacting declarative
deployments, even if based on different languages for specifying
multi-component applications. The Essential Deployment Metamodel (EDMM)
Modeling and Transformation Framework allows to specify multi-component
applications in a technology-agnostic manner, and to automatically generate the
technology-specific deployment artifacts allowing to deploy an IaaS-based
application. In this paper, we propose an extension of the EDMM Modeling and
Transformation Framework to PaaS and SaaS by allowing to deploy application
components on PaaS platforms or to implement them by instrumenting SaaS
services. Given that not all existing deployment technologies support PaaS and
SaaS deployments, we also propose the new EDMM Decision Support Framework
allowing us to determine which deployment technologies can be used to deploy an
application specified with EDMM.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-13&engl=0}
}
@inproceedings {INPROC-2019-41,
author = {Michael Wurster and Uwe Breitenb{\"u}cher and Antonio Brogi and Ghareeb Falazi and Lukas Harzenetter and Frank Leymann and Jacopo Soldani and Vladimir Yussupov},
title = {{The EDMM Modeling and Transformation System}},
booktitle = {Service-Oriented Computing - ICSOC 2019 Workshops},
publisher = {Springer},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {294--298},
type = {Demonstration},
month = {Oktober},
year = {2019},
doi = {10.1007/978-3-030-45989-5_26},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
D.2 Software Engineering},
contact = {Michael Wurster wurster@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Since deployment automation technologies are heterogeneous regarding their
supported features and modeling languages, selecting a concrete technology is
difficult and can result in a lock-in. Therefore, we presented the Essential
Deployment Metamodel (EDMM) in previous work that abstracts from concrete
technologies and provides a normalized metamodel for creating
technology-independent deployment models. In this demonstration, we present
tool support for EDMM in the form of the EDMM Modeling and Transformation
System, which enables (i) creating EDMM models graphically and (ii)
automatically transforming them into models supported by concrete deployment
automation technologies.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2019-41&engl=0}
}
@inproceedings {INPROC-2019-40,
author = {Karoline Saatkamp and Christoph Krieger and Frank Leymann and Julian Sudendorf and Michael Wurster},
title = {{Application Threat Modeling and Automated VNF Selection for Mitigation using TOSCA}},
booktitle = {2019 International Conference on Networked Systems (NetSys)},
publisher = {IEEE},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {1--6},
type = {Workshop-Beitrag},
month = {Oktober},
year = {2019},
isbn = {10.1109/NetSys.2019.8854524},
keywords = {Threat Modeling; VNF; STRIDE; TOSCA},
language = {Englisch},
cr-category = {D.2.2 Software Engineering Design Tools and Techniques},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {In the era of Internet of Things (IoT) the interconnectedness of devices, and
thus the need to protect them against threats increased. The widely used threat
modeling method STRIDE can be used to identify the system's vulnerabilities and
to determine appropriate mitigation solutions. In connected environments,
especially the network layer plays a critical role in achieving security. Based
on the Network Functions Virtualization (NFV) concept, network functions can be
virtualized and provisioned on standard IT hardware. Virtualized Network
Functions (VNFs) increase the flexibility of the provisioning, and thus
security network functions, such as firewalls, can be easily deployed. However,
in a complex distributed system it is time-consuming, error-prone, and for
application architects even not possible to identify and provision the required
security functions. For the orchestration and management of applications the
TOSCA modeling language can be used to describe the application's components
and their relations in a deployment model. The standard was mainly developed
for cloud applications but was extended to the network layer. In this paper, we
present a TOSCA-based approach for threat modeling based on STRIDE that
facilitates the automated VNF selection and injection into TOSCA deployment
models. The feasibility of our approach is validated by an extension of the
TOSCA modeling tool Winery.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2019-40&engl=0}
}
@inproceedings {INPROC-2019-37,
author = {Vladimir Yussupov and Uwe Breitenb{\"u}cher and Frank Leymann and Michael Wurster},
title = {{A Systematic Mapping Study on Engineering Function-as-a-Service Platforms and Tools}},
booktitle = {Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2019)},
editor = {ACM},
publisher = {ACM},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {229--240},
type = {Konferenz-Beitrag},
month = {Dezember},
year = {2019},
doi = {10.1145/3344341.3368803},
keywords = {Serverless; FaaS; Function-as-a-Service; Systematic Mapping Study},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
C.2.4 Distributed Systems,
D.2 Software Engineering},
ee = {https://www.ucc-conference.org},
contact = {Vladimir Yussupov yussupov@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Function-as-a-Service (FaaS) is a novel cloud service model allowing to develop
fine-grained, provider-managed cloud applications. In this work, we investigate
which challenges motivate researchers to introduce or enhance FaaS platforms
and tools. We use a systematic mapping study method to collect and analyze the
relevant scientific literature, which helps us answering the three
clearly-defined research questions. We design our study using well-established
guidelines and systematically apply it to 62 selected publications. The
collected and synthesized data provides useful insights into the main
challenges that motivate researchers to work on this topic and can be helpful
in identifying research gaps for future research.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2019-37&engl=0}
}
@inproceedings {INPROC-2019-33,
author = {Lukas Harzenetter and Uwe Breitenb{\"u}cher and Frank Leymann and Karoline Saatkamp and Benjamin Weder and Michael Wurster},
title = {{Automated Generation of Management Workflows for Applications Based on Deployment Models}},
booktitle = {2019 IEEE 23rd International Enterprise Distributed Object Computing Conference (EDOC)},
publisher = {IEEE},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {216--225},
type = {Konferenz-Beitrag},
month = {Dezember},
year = {2019},
doi = {10.1109/EDOC.2019.00034},
language = {Englisch},
cr-category = {D.0 Software General},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {To automate the deployment of applications several deployment technologies have
been developed. However, the management of deployed applications is only
partially covered by existing approaches: While management functionalities such
as scaling components or changing their configurations are covered directly by
cloud providers or configuration management technologies such as Chef, holistic
management processes that affect multiple components probably deployed in
different environments cannot be automated using these approaches. For example,
testing all deployed components and their communication or backing up the
entire application state that is scattered across different components requires
custom management logic that needs to be implemented manually, $\backslash$eg using
scripts. However, a manual implementation of such management processes is
error-prone, time-consuming, and requires immense technical expertise.
Therefore, we propose an approach that enables automatically generating
executable management workflows based on the declarative deployment model of an
application. This significantly reduces the effort for automating holistic
management processes as no manual implementation is required. We validate the
practical feasibility of the approach by a prototypical implementation based on
the TOSCA standard and the OpenTOSCA ecosystem.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2019-33&engl=0}
}
@inproceedings {INPROC-2018-48,
author = {Michael Wurster and Uwe Breitenb{\"u}cher and K{\'a}lm{\'a}n K{\'e}pes and Frank Leymann and Vladimir Yussupov},
title = {{Modeling and Automated Deployment of Serverless Applications using TOSCA}},
booktitle = {Proceedings of the IEEE 11th International Conference on Service-Oriented Computing and Applications (SOCA)},
publisher = {IEEE Computer Society},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {73--80},
type = {Konferenz-Beitrag},
month = {November},
year = {2018},
doi = {10.1109/SOCA.2018.00017},
keywords = {Serverless; Multi-Cloud; Modeling; Automated Deployment; TOSCA},
language = {Englisch},
cr-category = {D.2.2 Software Engineering Design Tools and Techniques,
D.2.9 Software Engineering Management,
D.2.11 Software Engineering Software Architectures},
contact = {Michael Wurster michael.wurster@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The serverless computing paradigm brings multiple benefits to application
developers who are interested in consuming computing resources as services
without the need to manage physical capacities or limits. There are several
deployment technologies and languages available suitable for deploying
applications to a single cloud provider. However, for multi-cloud application
deployments, multiple technologies have to be used and orchestrated. In
addition, the event-driven nature of serverless computing imposes further
requirements on modeling such application structures in order to automate their
deployment. In this paper, we tackle these issues by introducing an
event-driven deployment modeling approach using the standard Topology and
Orchestration Specification for Cloud Applications (TOSCA) that fully employs
the suggested standard lifecycle to provision and manage multi-cloud serverless
applications. To show the feasibility of our approach, we extended the existing
TOSCA-based ecosystem OpenTOSCA.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-48&engl=0}
}
@inproceedings {INPROC-2018-41,
author = {Michael Wurster and Uwe Breitenb{\"u}cher and Oliver Kopp and Frank Leymann},
title = {{Modeling and Automated Execution of Application Deployment Tests}},
booktitle = {Proceedings of the IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC)},
publisher = {IEEE Computer Society},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {171--180},
type = {Konferenz-Beitrag},
month = {Oktober},
year = {2018},
doi = {10.1109/EDOC.2018.00030},
keywords = {Testing; Declarative Application Deployment; Test Automation; Model-based Testing; TOSCA},
language = {Englisch},
cr-category = {D.2.5 Software Engineering Testing and Debugging,
D.2.9 Software Engineering Management},
contact = {Michael Wurster michael.wurster@iaas.uni-stuttgart.de},
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 = {In recent years, many deployment systems have been developed that process
deployment models to automatically provision applications. The main objective
of these systems is to shorten delivery times and to ensure a proper execution
of the deployment process. However, these systems mainly focus on the correct
technical execution of the deployment, but do not check whether the deployed
application is working properly. Especially in DevOps scenarios where
applications are modified frequently, this can quickly lead to broken
deployments, for example, if a wrong component version was specified in the
deployment model that has not been adapted to a new database schema.
Ironically, even hardly noticeable errors in deployment models quickly result
in technically successful deployments, which do not work at all. In this paper,
we tackle these issues. We present a modeling concept that enables developers
to define deployment tests directly along with the deployment model. These
tests are then automatically run by a runtime after deployment to verify that
the application is working properly. To validate the technical feasibility of
the approach, we applied the concept to TOSCA and extended an existing open
source TOSCA runtime.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-41&engl=0}
}
@inproceedings {INPROC-2018-40,
author = {Michael Hahn and Uwe Breitenb{\"u}cher and Frank Leymann and Michael Wurster and Vladimir Yussupov},
title = {{Modeling Data Transformations in Data-Aware Service Choreographies}},
booktitle = {Proceedings of the IEEE 22nd International Enterprise Distributed Object Computing Conference (EDOC)},
publisher = {IEEE Computer Society},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {28--34},
type = {Konferenz-Beitrag},
month = {Oktober},
year = {2018},
doi = {10.1109/EDOC.2018.00014},
language = {Englisch},
cr-category = {H.4.1 Office Automation,
C.2.4 Distributed Systems},
contact = {Michael Hahn: michael.hahn@iaas-uni.stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The importance of data is steadily increasing in the domain of business process
management due to recent advances in data science, IoT, and Big Data. To
reflect this paradigm shift towards data-awareness in service choreographies,
we introduced the notion of data-aware choreographies based on concepts for
Transparent Data Exchange (TraDE) in our previous works. The goal is to
simplify the modeling of business-relevant data and its exchange in
choreography models while increasing their run time flexibility. To further
improve and simplify the modeling of data-related aspects in service
choreographies, in this paper, we focus on the extension of our TraDE concepts
to support the modeling of data transformations in service choreographies. Such
data transformation capabilities are of dire need to mediate between different
data formats, structures and representations of the collaborating participants
within service choreographies. Therefore, the paper presents a modeling
extension as means for specifying and executing heterogeneous data
transformations in service choreographies based on our TraDE concepts.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-40&engl=0}
}
@inproceedings {INPROC-2017-68,
author = {Michael Wurster and Uwe Breitenb{\"u}cher and Michael Falkenthal and Frank Leymann},
title = {{Developing, Deploying, and Operating Twelve-Factor Applications with TOSCA}},
booktitle = {In Proceedings of the 19th International Conference on Information Integration and Web-based Applications \& Services, Salzburg, Austria, December 4-6, 2017},
editor = {Maria Indrawan-Santiago and Ivan Luiz Salvadori and Matthias Steinbauer and Ismail Khalil and Gabriele Anderst-Kotsis},
publisher = {ACM},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {519--525},
type = {Konferenz-Beitrag},
month = {Dezember},
year = {2017},
isbn = {10.1145/3151759.3151830},
keywords = {Cloud Computing; Twelve-Factor App; TOSCA},
language = {Englisch},
cr-category = {D.2.2 Software Engineering Design Tools and Techniques,
D.2.9 Software Engineering Management},
ee = {http://www.iiwas.org/conferences/iiwas2017},
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-2017-68&engl=0}
}
@inproceedings {INPROC-2017-67,
author = {Karoline Saatkamp and Uwe Breitenb{\"u}cher and Frank Leymann and Michael Wurster},
title = {{Generic Driver Injection for Automated IoT Application Deployments}},
booktitle = {Proceedings of the 19th International Conference on Information Integration and Web-based Applications \& Services; Salzburg, Austria, December 4-6, 2017},
editor = {Maria Indrawan-Santiago and Ivan Luiz Salvadori and Matthias Steinbauer and Ismail Khalil and Gabriele Anderst-Kotsis},
publisher = {ACM},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {320--329},
type = {Konferenz-Beitrag},
month = {Dezember},
year = {2017},
isbn = {10.1145/3151759.3151789},
keywords = {IoT Application Deployment; Drivers; Programming Model; TOSCA},
language = {Englisch},
cr-category = {D.2.2 Software Engineering Design Tools and Techniques,
D.2.13 Software Engineering Reusable Software},
ee = {http://www.iiwas.org/conferences/iiwas2017/},
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-2017-67&engl=0}
}
@inproceedings {INPROC-2017-65,
author = {Uwe Breitenb{\"u}cher and K{\'a}lm{\'a}n K{\'e}pes and Frank Leymann and Michael Wurster},
title = {{Declarative vs. Imperative: How to Model the Automated Deployment of IoT Applications?}},
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 = {18--27},
type = {Konferenz-Beitrag},
month = {November},
year = {2017},
keywords = {Deployment Modelling; Declarative; Imperative; TOSCA},
language = {Englisch},
cr-category = {D.2.13 Software Engineering Reusable Software,
K.6 Management of Computing and Information Systems},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The Internet of Things (IoT) has become an increasingly important domain, which
more and more requires application deployment automation as manual deployment
is time-consuming, error-prone, and costly. However, the variety of available
deployment automation systems also increases the complexity of selecting the
most appropriate technology. In this paper, we discuss how the deployment of
complex composite IoT applications can be automated and discuss the conceptual
strengths and weaknesses of declarative and imperative deployment modelling.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-65&engl=0}
}
@article {ART-2019-17,
author = {Michael Wurster and Uwe Breitenb{\"u}cher and Michael Falkenthal and Christoph Krieger and Frank Leymann and Karoline Saatkamp and Jacopo Soldani},
title = {{The Essential Deployment Metamodel: A Systematic Review of Deployment Automation Technologies}},
journal = {SICS Software-Intensive Cyber-Physical Systems},
publisher = {Springer},
type = {Artikel in Zeitschrift},
month = {August},
year = {2019},
doi = {10.1007/s00450-019-00412-x},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
C.2.4 Distributed Systems,
D.1 Programming Techniques,
D.2 Software Engineering},
contact = {Michael Wurster wurster@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {In recent years, a plethora of deployment technologies evolved, many following
a declarative approach to automate the delivery of software components. Even if
such technologies share the same purpose, they differ in features and supported
mechanisms. Thus, it is difficult to compare and select deployment automation
technologies as well as to migrate from one technology to another. Hence, we
present a systematic review of declarative deployment technologies and
introduce the essential deployment metamodel (EDMM) by extracting the essential
parts that are supported by all these technologies. Thereby, the EDMM enables a
common understanding of declarative deployment models by facilitating the
comparison, selection, and migration of technologies. Moreover, it provides a
technology-independent baseline for further deployment automation research.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2019-17&engl=0}
}
@article {ART-2019-16,
author = {Giuliano Casale and Matej Arta\&\#269; and Willem-Jan van den Heuvel and Andr{\'e} van Hoorn and Pelle Jakovits and Frank Leymann and Michael Long and Vasileios Papanikolaou and Domenico Presenza and Alessandra Russo and Satish N. Srirama and Damian A. Tamburri and Michael Wurster and Lulai Zhu},
title = {{RADON: Rational Decomposition and Orchestration for Serverless Computing}},
journal = {SICS Software-Intensive Cyber-Physical Systems},
publisher = {Springer},
type = {Artikel in Zeitschrift},
month = {August},
year = {2019},
doi = {10.1007/s00450-019-00413-w},
language = {Englisch},
cr-category = {C.0 Computer Systems Organization, General,
C.2.4 Distributed Systems,
D.1 Programming Techniques,
D.2 Software Engineering},
contact = {Michael Wurster wurster@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen;
Universit{\"a}t Stuttgart, Institut f{\"u}r Softwaretechnologie, Sichere und Zuverl{\"a}ssige Softwaresysteme;
Universit{\"a}t Stuttgart, Institut f{\"u}r Softwaretechnologie, Software Engineering},
abstract = {Emerging serverless computing technologies, such as function as a service
(FaaS), enable developers to virtualize the internal logic of an application,
simplifying the management of cloud-native services and allowing cost savings
through billing and scaling at the level of individual functions. Serverless
computing is therefore rapidly shifting the attention of software vendors to
the challenge of developing cloud applications deployable on FaaS platforms. In
this vision paper, we present the research agenda of the RADON project
(http://radon-h2020.eu), which aims to develop a model-driven DevOps framework
for creating and managing applications based on serverless computing. RADON
applications will consist of fine-grained and independent microservices that
can efficiently and optimally exploit FaaS and container technologies. Our
methodology strives to tackle complexity in designing such applications,
including the solution of optimal decomposition, the reuse of serverless
functions as well as the abstraction and actuation of event processing chains,
while avoiding cloud vendor lock-in through models.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2019-16&engl=0}
}
@article {ART-2016-15,
author = {Michael Falkenthal and Johanna Barzen and Uwe Breitenb{\"u}cher and Sascha Br{\"u}gmann and Daniel Joos and Frank Leymann and Michael Wurster},
title = {{Pattern Research in the Digital Humanities: How Data Mining Techniques Support the Identification of Costume Patterns}},
journal = {Computer Science - Research and Development},
publisher = {Springer},
type = {Artikel in Zeitschrift},
month = {November},
year = {2016},
language = {Englisch},
cr-category = {H.2.8 Database Applications,
H.3.3 Information Search and Retrieval},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Costumes are prominent in transporting a character's mood, a certain
stereotype, or character trait in a film. The concept of patterns, applied to
the domain of costumes in films, can help costume designers to improve their
work by capturing knowledge and experience about proven solutions for recurring
design problems. However, finding such Costume Patterns is a difficult and
time-consuming task, because possibly hundreds of different costumes of a huge
number of films have to be analyzed to find commonalities. In this paper, we
present a Semi-Automated Costume Pattern Mining Method to discover indicators
for Costume Patterns from a large data set of documented costumes using data
mining and data warehouse techniques. We validate the presented approach by a
prototypical implementation that builds upon the Apriori algorithm for mining
association rules and standard data warehouse technologies.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2016-15&engl=0}
}