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Arnor Solberg

Seniorforsker

Arnor Solberg

Seniorforsker

Arnor Solberg
Telefon: 959 00 741
Mobil: 959 00 741
Avdeling: Software and Service Innovation
Kontorsted: Oslo

Publikasjoner og ansvarsområder

Publikasjoner

Publikasjon

Model-driven Engineering for the Configuration and Deployment of Data Processing Applications

http://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1459109

This position paper reports our current endeavour towards a model-driven engineering framework to support the dynamic configuration and deployment of complex data processing applications. In particular, our approach includes a domain-specific modelling language that abstracts the data processing tas...

År 2017
Type Konferanseartikkel/Bokkapittel
Publikasjon

The Evolution of CloudML and its Manifestations

http://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1335079

Several modelling approaches including CloudML emerged to specify the deployment of cloud-based applications and automate the provisioning of computational resources. While CloudML was introduced in the REMICS project, its development continued by ongoing projects, i.e., ARTIST, MODAClouds, and PaaS...

Forfattere Bergmayr Alexander Rossini Alessandro Ferry Nicolas Horn Geir Orue-Echevarria Leire Solberg Arnor Wimmer Manuel
År 2016
Type Tidsskriftsartikkel
Publikasjon

CONSOLAS: A Model-Based Tool for Automatic Configuration and Deployment of Cloud Applications

http://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1331195

This paper demonstrates CONSOLAS, an automatic tool for the configuration and deployment of software applications in cloud. We provide Domain-Specific Modelling Languages for application developers to specify the components in the application and the possible cloud resources to host them, as well as...

År 2015
Type Tidsskriftsartikkel
Publikasjon

Using Adaptation Plans to Control the Behavior of Models@runtime

http://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1281711

The models@runtime pattern proposes to leverage models as executable artefacts. A runtime model describing the state of the system is causally connected to the running system. Models@runtime engines typically play an active role in the definition of the adaptation plan that specifies the set of conc...

Forfattere Lushpenko Maksym Ferry Nicolas Song Hui Chauvel Franck Solberg Arnor
År 2015
Type Tidsskriftsartikkel
Publikasjon

Towards Bridging the Gap Between Scalability and Elasticity

http://www.sintef.no/publikasjoner/publikasjon/?pubid=CRIStin+1140824

Scalability and elasticity are key capabilities to tackle the variable workload of a service. Cloud elasticity offers opportunities to manage dynamically the underlying resources of a service and improve its scalability. However, managing scalability of cloud-based systems may lead to a management o...

År 2014
Type Konferanseartikkel/Bokkapittel
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