@inproceedings {INPROC-2017-08,
author = {Florian Haupt and Frank Leymann and Anton Scherer and Karolina Vukojevic-Haupt},
title = {{A Framework for the Structural Analysis of REST APIs}},
booktitle = {Proceedings of the IEEE International Conference on Software Architecture (ICSA 2017)},
publisher = {IEEE},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
type = {Konferenz-Beitrag},
month = {April},
year = {2017},
doi = {10.1109/ICSA.2017.40},
keywords = {REST; interface description language; analysis},
language = {Deutsch},
cr-category = {D.2.11 Software Engineering Software Architectures},
contact = {florian.haupt@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Today, REST APIs have established as a means for realizing distributed systems
and are supposed to gain even more importance in the context of Cloud
Computing, Internet of Things, and Microservices. Nevertheless, many existing
REST APIs are known to be not well-designed, resulting in the absence of
desirable quality attributes that truly RESTful systems entail. Although
existing analysis show, that many REST APIs are not fully REST compliant, it is
still an open issue how to improve this deficit and where to start. In this
work, we introduce a framework for the structural analysis of REST APIs based
on their description documents, as this allows for a comprehensive,
well-structured analysis approach that also includes analyzing the
corresponding API description languages. A first validation builds on a set of
286 real world API descriptions available as Swagger documents, and comprises
their transformation into a canonical metamodel for REST APIs as well as a
metrics-based analysis and discussion of their structural characteristics with
respect to compliance with the REST architectural style.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-08&engl=0}
}
@inproceedings {INPROC-2015-43,
author = {Karolina Vukojevic-Haupt and Santiago G{\'o}mez S{\'a}ez and Florian Haupt and Dimka Karastoyanova and Frank Leymann},
title = {{A Middleware-centric Optimization Approach for the Automated Provisioning of Services in the Cloud}},
booktitle = {Proceedings of the 7th IEEE International Conference on Cloud Computing Technology and Science},
publisher = {IEEE},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {174--179},
type = {Konferenz-Beitrag},
month = {Dezember},
year = {2015},
doi = {10.1109/CloudCom.2015.86},
keywords = {on-demand provisioning; cloud; service-oriented computing; eScience; optimization; dynamic provisioning; SOC},
language = {Englisch},
cr-category = {C.2.4 Distributed Systems,
D.2.11 Software Engineering Software Architectures,
I.6.7 Simulation Support Systems},
contact = {karolina.vukojevic@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The on-demand provisioning of services, a cloud-based extension for traditional
service-oriented architectures, improves the handling of services in usage
scenarios where they are only used rarely and irregularly. However, the
standard process of service provisioning and de-provisioning shows still some
shortcomings when applying it in real world. In this paper, we introduce a
middleware-centric optimization approach that can be integrated in the existing
on-demand provisioning middleware in a loosely coupled manner, changing the
standard provisioning and de-provisioning behavior in order to improve it with
respect to cost and time. We define and implement a set of optimization
strategies, evaluate them based on a real world use case from the eScience
domain and provide qualitative as well as quantitative decision support for
effectively selecting and parametrizing a suitable strategy. Altogether, our
work improves the applicability of the existing on-demand provisioning approach
and system in real world, including guidance for selecting the suitable
optimization strategy for specific use cases.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2015-43&engl=0}
}
@inproceedings {INPROC-2015-23,
author = {Karolina Vukojevic-Haupt and Florian Haupt and Frank Leymann and Lukas Reinfurt},
title = {{Bootstrapping Complex Workflow Middleware Systems into the Cloud}},
booktitle = {Proceedings of the 11th IEEE International Conference on e-Science},
publisher = {IEEE},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {126--135},
type = {Konferenz-Beitrag},
month = {September},
year = {2015},
doi = {10.1109/eScience.2015.69},
keywords = {Bootware; Cloud; Bootstrapping; On-demand Provisioning; Dynamic Provisioning; eScience; SOC; Automatic Provisioning; Automatic Deployment; Optimization; Integration},
language = {Englisch},
cr-category = {C.2.4 Distributed Systems,
D.2.11 Software Engineering Software Architectures},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The use of Cloud infrastructures together with provisioning technologies can be
successfully applied in scenarios where resources are only needed rarely and
irregularly, for example simulation workflows in the eScience domain. There has
already been proposed a solution for the on-demand provisioning of services
required by workflows, but how to automatically provision the needed workflow
middleware itself is still an open issue. Although many provisioning
technologies are available, it is currently not possible to use them in an
integrated, flexible and automated way. The main idea presented in this paper
is a multistep bootstrapping process, starting with a minimal local software
component and ending up with a complex workflow middleware running in the
Cloud. This minimal software component is called bootware. We define the key
requirements for the bootware, present its architecture and discuss the main
design decisions and how they fulfil the requirements. The bootware enables to
provision complex workflow middleware systems on-demand and automatically in
the Cloud and therefore reduces resource consumption and costs.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2015-23&engl=0}
}
@inproceedings {INPROC-2015-14,
author = {Santiago G{\'o}mez S{\'a}ez and Vasilios Andrikopoulos and Michael Hahn and Dimka Karastoyanova and Frank Leymann and Marigianna Skouradaki and Karolina Vukojevic-Haupt},
title = {{Performance and Cost Evaluation for the Migration of a Scientific Workflow Infrastructure to the Cloud}},
booktitle = {Proceedings of the 5th International Conference on Cloud Computing and Service Science (CLOSER 2015)},
publisher = {SciTePress},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {352--361},
type = {Konferenz-Beitrag},
month = {Mai},
year = {2015},
keywords = {Workflow Simulation; eScience; IaaS; Performance Evaluation; Cost Evaluation; Cloud Migration},
language = {Englisch},
cr-category = {C.2.4 Distributed Systems,
D.2.8 Software Engineering Metrics,
D.2.11 Software Engineering Software Architectures},
contact = {Santiago G{\'o}mez S{\'a}ez: santiago.gomez-saez@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The success of the Cloud computing paradigm, together with the increase of
Cloud providers and optimized Infrastructure-as-a-Service (IaaS) offerings have
contributed to a raise in the number of research and industry communities that
are strong supporters of migrating and running their applications in the Cloud.
Focusing on eScience simulation-based applications, scientific workflows have
been widely adopted in the last years, and the scientific workflow management
systems have become strong candidates for being migrated to the Cloud. In this
research work we aim at empirically evaluating multiple Cloud providers and
their corresponding optimized and non-optimized IaaS offerings with respect to
their offered performance, and its impact on the incurred monetary costs when
migrating and executing a workflow-based simulation environment. The
experiments show significant performance improvements and reduced monetary
costs when executing the simulation environment in off-premise Clouds.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2015-14&engl=0}
}
@inproceedings {INPROC-2014-77,
author = {Karolina Vukojevic-Haupt and Florian Haupt and Dimka Karastoyanova and Frank Leymann},
title = {{Replicability of Dynamically Provisioned Scientific Experiments}},
booktitle = {IEEE International Conference on Service Oriented Computing \& Applications (SOCA 2014)},
publisher = {IEEE},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {119--124},
type = {Konferenz-Beitrag},
month = {November},
year = {2014},
doi = {10.1109/SOCA.2014.54},
keywords = {replicability; SOC; SOA; Cloud; on-demand provisioning and deprovisioning; eScience},
language = {Englisch},
cr-category = {C.2.4 Distributed Systems,
D.2.11 Software Engineering Software Architectures},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The ability to repeat an experiment, known as replicability, is a basic concept
of scientific research and also an important aspect in the field of eScience.
The principles of Service Oriented Computing (SOC) and Cloud Computing, both
based on high runtime dynamicity, are more and more adopted in the eScience
domain. Simulation experiments exploiting these principles introduce
significant challenges with respect to replicability. Current research
activities mainly focus on how to exploit SOC and Cloud for eScience, while the
aspect of replicability for such experiments is still an open issue. In this
paper we define a general method to identify points of dynamicity in simulation
experiments and to handle them in order to enable replicability. We
systematically examine different types of service binding strategies, the main
source of dynamicity, and derive a method and corresponding architecture to
handle this dynamicity with respect to replicability. Our work enables
scientists to perform simulation experiments that exploit the dynamicity and
flexibility of SOC and Cloud Computing but still are repeatable.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-77&engl=0}
}
@inproceedings {INPROC-2014-34,
author = {Karolina Vukojevic-Haupt and Florian Haupt and Dimka Karastoyanova and Frank Leymann},
title = {{Service Selection for On-demand Provisioned Services}},
booktitle = {Proceedings of the 18th IEEE International EDOC Conference (EDOC 2014)},
publisher = {IEEE},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {120--127},
type = {Konferenz-Beitrag},
month = {September},
year = {2014},
doi = {10.1109/EDOC.2014.25},
language = {Englisch},
cr-category = {D.2.11 Software Engineering Software Architectures},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Service selection is an important concept in service oriented architectures
that enables the dynamic binding of services based on functional and
non-functional requirements. The introduction of the concept of on-demand
provisioned services significantly changes the nature of services and as a
consequence the traditional service selection process does not fit anymore.
Existing approaches for service selection rely on the always on semantic of
services, an assumption that is not valid for on-demand provisioned services.
We tackle this problem by adapting the traditional service selection process
and by defining an additional step covering the changes introduced by the
concept of on-demand provisioning. Our solution comprises an extended
architecture for on-demand provisioning, a metamodel for a service registry and
a detailed definition and discussion of the adapted and extended service
selection process. The work presented in this paper allows keeping the
advantages of dynamic service binding at runtime and combining them with the
advantages of Cloud computing exploited through the concept of on-demand
provisioning.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-34&engl=0}
}
@inproceedings {INPROC-2014-33,
author = {Florian Haupt and Markus Fischer and Dimka Karastoyanova and Frank Leymann and Karolina Vukojevic-Haupt},
title = {{Service Composition for REST}},
booktitle = {Proceedings of the 18th IEEE International EDOC Conference (EDOC 2014)},
publisher = {IEEE},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {110--119},
type = {Konferenz-Beitrag},
month = {September},
year = {2014},
issn = {1541-7719},
doi = {10.1109/EDOC.2014.24},
keywords = {Service Composition; REST; BPEL},
language = {Englisch},
cr-category = {D.2.11 Software Engineering Software Architectures},
contact = {florian.haupt@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {One of the key strengths of service oriented architectures, the concept of
service composition to reuse and combine existing services in order to achieve
new and superior functionality, promises similar advantages when applied to
resources oriented architectures. The challenge in this context is how to
realize service composition in compliance with the constraints defined by the
REST architectural style and how to realize it in a way that it can be
integrated to and benefit from existing service composition solutions. Existing
approaches to REST service composition are mostly bound to the HTTP protocol
and often lack a systematic methodology and a mature and standards based
realization approach. In our work, we follow a comprehensible methodology by
deriving the key requirements for REST service composition directly from the
REST constraints and then mapping these requirements to a standard compliant
extension of the BPEL composition language. We performed a general requirements
analysis for REST service composition, defined a meta model for a corresponding
BPEL extension, realized this extension prototypically and validated it based
on a real world use case from the eScience domain. Our work provides a general
methodology to enable REST service composition as well as a realization
approach that enables the combined composition of WSDL and REST services in a
mature and robust way.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-33&engl=0}
}
@inproceedings {INPROC-2013-58,
author = {Karolina Vukojevic-Haupt and Dimka Karastoyanova and Frank Leymann},
title = {{On-demand Provisioning of Infrastructure, Middleware and Services for Simulation Workflows}},
booktitle = {Proceedings of the 6th IEEE International Conference on Service Oriented Computing \& Applications (SOCA 2013), Kauai, USA, 16.-18.12.2013.},
address = {Kauai, USA},
publisher = {IEEE Press},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {91--98},
type = {Konferenz-Beitrag},
month = {Dezember},
year = {2013},
doi = {10.1109/SOCA.2013.21},
keywords = {on-demand provisioning and deprovisioning; dynamic service deployment and provisioning; provisioning engine; bootware; simulation workflows; eScience; SOC; Cloud; TOSCA},
language = {Englisch},
cr-category = {H.4.1 Office Automation,
C.2.4 Distributed Systems,
I.6.7 Simulation Support Systems},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2013-58/INPROC-2013-58.pdf},
contact = {karolina.vukojevic@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Service orientation is a mainstream paradigm in business applications and gains
even greater acceptance in the very active field of eScience. In SOC service
binding strategies have been defined to specify the point in time a service can
be discovered and selected for use, namely static binding, dynamic binding at
deployment or at run time, and dynamic service deployment. The basic assumption
in all these strategies is that the software stack and infrastructure necessary
to execute the services are already available. While in service-based business
applications this is typically a valid assumption in scientific applications it
is often not the case. Therefore, in this work we introduce a new binding
strategy for services we call on-demand provisioning which entails provisioning
of the software stack necessary for the service and subsequent dynamic
deployment of the service itself. Towards this goal, we also contribute a
middleware architecture that enables the provisioning of the software stack –
functionality unavailable in conventional service middlewares. We demonstrate
the approach and the capabilities of the middleware and the current state of
the implementation of our approach. For this purpose we use an example
application from the field of eScience that comprises a scientific workflow
management system for simulations.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2013-58&engl=0}
}
@inproceedings {INPROC-2013-56,
author = {Steve Strauch and Vasilios Andrikopoulos and Bachmann Thomas and Dimka Karastoyanova and Stephan Passow and Karolina Vukojevic-Haupt},
title = {{Decision Support for the Migration of the Application Database Layer to the Cloud}},
booktitle = {Proceedings of the 5th IEEE International Conference on Cloud Computing Technology and Science (CloudCom'13)},
publisher = {IEEE Computer Society Press},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {639--646},
type = {Konferenz-Beitrag},
month = {Dezember},
year = {2013},
doi = {10.1109/CloudCom.2013.90},
keywords = {Data Migration; Decision Support; Database layer; Application Refactoring},
language = {Englisch},
cr-category = {D.2.11 Software Engineering Software Architectures,
H.3.4 Information Storage and Retrieval Systems and Software},
contact = {a href=``http://www.iaas.uni-stuttgart.de/institut/mitarbeiter/strauch''Steve Strauch/ a},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Migrating an existing application to the Cloud is a complex and
multi-dimensional problem requiring in many cases adapting the application in
significant ways. Looking specifically into the database layer of the
application, i.e. the aspect providing data persistence and manipulation
capabilities, this involves dealing with differences in the granularity of
interactions, refactoring of the application to cope with remote data sources,
and addressing data confidentiality concerns. Toward this goal, in this work we
present an application migration methodology which incorporates these aspects,
and a decision support, application refactoring and data migration tool that
assists application developers in realizing this methodology. For purposes of
evaluating our proposal we present the results of a case study conducted in the
context of an eScience project.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2013-56&engl=0}
}
@inproceedings {INPROC-2012-39,
author = {Dimka Karastoyanova and Dimitrios Dentsas and David Schumm and Mirko Sonntag and Lina Sun and Karolina Vukojevic-Haupt},
title = {{Service-based Integration of Human Users in Workflow-driven Scientific Experiments}},
booktitle = {Proceedings of the 8th IEEE International Conference on eScience (eScience 2012)},
publisher = {IEEE Computer Society Press},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {1--8},
type = {Konferenz-Beitrag},
month = {Oktober},
year = {2012},
doi = {10.1109/eScience.2012.6404435},
keywords = {Scientific Workflows; Human Task Management; Cyber-infrastructure; Communication Services},
language = {Englisch},
cr-category = {H.4.1 Office Automation,
I.6.7 Simulation Support Systems},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Through increased usage of information technology in research and practice ever
more tasks can be automated to make scientific experiments more efficient in
terms of cost, speed, accuracy, and flexibility. Scientific workflows have
proven useful for the automation of scientific computations. However, not all
tasks of an experiment can be automated. Some decisions still need to be made
by human users, for instance, decisions how an automated system should proceed
in an exceptional situation. To address the need for integration of human users
in such automated systems, we propose the concept of Human Communication Flows,
which specify the way how an application, such as a scientific workflow, can
interact with a human user. We developed a human communication framework that
implements these Communication Flows in a pipes-and-filters architecture
supporting notifications and request-response interactions. For usage within a
scientific workflow we created workflow fragments, which implement the
interaction with the framework. Different Communication Services can be plugged
into this framework to account for different communication capabilities of
human users.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-39&engl=0}
}
@article {ART-2017-04,
author = {Florian Haupt and Frank Leymann and Karolina Vukojevic-Haupt},
title = {{API Governance Support through the Structural Analysis of REST APIs}},
journal = {Computer Science – Research and Development},
publisher = {Springer},
type = {Artikel in Zeitschrift},
month = {Juli},
year = {2017},
keywords = {REST; interface description language; analysis; API governance},
language = {Englisch},
cr-category = {D.2.11 Software Engineering Software Architectures},
contact = {florian.haupt@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=ART-2017-04&engl=0}
}
@article {ART-2016-20,
author = {Karolina Vukojevic-Haupt and Florian Haupt and Frank Leymann},
title = {{On-demand provisioning of workflow middleware and services into the cloud: an overview}},
journal = {Computing},
publisher = {Springer Wien},
type = {Artikel in Zeitschrift},
month = {Oktober},
year = {2016},
doi = {10.1007/s00607-016-0521-x},
isbn = {full-text view-only version: http://rdcu.be/lL8H},
keywords = {on-demand provisioning; cloud; service-oriented computing; eScience; dynamic provisioning; SOC; automatic provisioning; automatic deployment},
language = {Englisch},
cr-category = {C.2.4 Distributed Systems,
D.2.11 Software Engineering Software Architectures,
I.6.7 Simulation Support Systems},
contact = {karolina.vukojevic@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {One of the core principles in service oriented computing is that services are
always on and available. There are however domains where running services all
the time is not suitable, for example when applying simulations workflows in
the eScience domain. The simulation services orchestrated by these workflows
are typically used only rarely and irregularly, keeping them running all the
time would result in a significant waste of resources. As a consequence, we
developed the approach of on-demand provisioning of workflow middleware and
services. In this paper we will give an overview about our work. We will
present the motivation and main idea of our solution approach and will also
provide details about some of the results of our work. The overview about our
previous and current work is then complemented by a detailed discussion and
comparison of the roles involved in both concepts, traditional service oriented
computing as well as our newly developed on-demand provisioning approach.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2016-20&engl=0}
}
@inbook {INBOOK-2016-02,
author = {Santiago G{\'o}mez S{\'a}ez and Vasilios Andrikopoulos and Michael Hahn and Dimka Karastoyanova and Frank Leymann and Marigianna Skouradaki and Karolina Vukojevic-Haupt},
title = {{Performance and Cost Trade-Off in IaaS Environments: A Scientific Workflow Simulation Environment Case Study}},
series = {Cloud Computing and Services Science},
publisher = {Springer},
series = {Communications in Computer and Information Science},
volume = {581},
pages = {153--170},
type = {Beitrag in Buch},
month = {Februar},
year = {2016},
language = {Englisch},
cr-category = {C.2.4 Distributed Systems,
D.2.8 Software Engineering Metrics,
D.2.11 Software Engineering Software Architectures},
contact = {Santiago G{\'o}mez S{\'a}ez: santiago.gomez-saez@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {The adoption of the workflow technology in the eScience domain has contributed
to the increase of simulation-based applications orchestrating different
services in a flexible and error-free manner. The nature of the provisioning
and execution of such simulations makes them potential candidates to be
migrated and executed in Cloud environments. The wide availability of
Infrastructure-as-a-Service (IaaS) Cloud offerings and service providers has
contributed to a raise in the number of supporters of partially or completely
migrating and running their scientific experiments in the Cloud. Focusing on
Scientific Workflow-based Simulation Environments (SWfSE) applications and
their corresponding underlying runtime support, in this research work we aim at
empirically analyzing and evaluating the impact of migrating such an
environment to multiple IaaS infrastructures. More specifically, we focus on
the investigation of multiple Cloud providers and their corresponding optimized
and non-optimized IaaS offerings with respect to their offered performance, and
its impact on the incurred monetary costs when migrating and executing a SWfSE.
The experiments show significant performance improvements and reduced monetary
costs when executing the simulation environment in off-premise Clouds.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2016-02&engl=0}
}
@inbook {INBOOK-2015-01,
author = {Steve Strauch and Vasilios Andrikopoulos and Dimka Karastoyanova and Karolina Vukojevic-Haupt},
title = {{Migrating eScience Applications to the Cloud: Methodology and Evaluation}},
series = {Cloud Computing with E-science Applications},
publisher = {CRC Press/Taylor \& Francis},
type = {Beitrag in Buch},
month = {Juli},
year = {2015},
keywords = {Data Migration; Decision Support; Database layer; Application Refactoring},
language = {Englisch},
cr-category = {D.2.11 Software Engineering Software Architectures,
H.3.4 Information Storage and Retrieval Systems and Software},
contact = {steve.strauch@iaas.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {eScience is an active field of research striving to enable faster scientific
discovery and ground-breaking research in different scientific domains by means
of information technology. In recent years Cloud computing has gained
significant acceptance in both the enterprise application management and
scientific computing for its promise to reduce infrastructure costs and provide
virtually unlimited computational power and data storage - requirements of
particular importance for businesses, and of even greater importance to
scientists and research organizations. While research in this field is very
active in providing novel concepts, techniques and principles towards building
Cloud-native applications, there is a significant effort to Cloud-enable
existing applications in order to reuse existing systems and therefore
investments. Typically, Cloud-enabling applications is related to the migration
of whole systems or parts of them on a public or private Cloud environment.
In this work we present a vendor- and technology-independent methodology for
migrating the database layer of applications, and refactoring the application
architecture. The methodology is applicable to applications in different
application domains and is agnostic to the types of data sources. It fulfils
requirements also presented in this work, which we have identified in
collaboration with software engineers and domain experts in several research
projects. We use this methodology to migrate the database layer of a scientific
workflow management system (SimTech SWfMS), which we developed in the scope of
our research activities in the SimTech project. The migration of the SimTech
SWfMS has been done using the Cloud Data Migration Support Tool - a proof of
concept implementation of the methodology. Both the introduced methodology and
the supporting tool have been evaluated and our findings are presented.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2015-01&engl=0}
}