European innovation procurement “Pre-Commercial-Procurement” and Cloud computing by reference to the research project “Cloud for Europe”

2017 ◽  
Author(s):  
Carl-Markus Piswanger ◽  
Linda Strick
Keyword(s):  
Cloud Computing ◽  
Research Project

Cloud-Assisted Services for Mobile Applications

2014 ◽  
pp. 93-101 ◽  
Author(s):  
Domen Verber
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Mobile Computing ◽  
Mobile Applications ◽  
Cloud Services ◽  
Research Project ◽  
Challenges And Opportunities

This chapter discusses those mobile applications that are assisted with services provided by the cloud. This combines the two most pervasive topics within information technology today: cloud computing and mobile computing. This chapter describes the challenges and opportunities offered by these technologies and the issues arising during their implementation. Some representative cloud services for mobile applications are offered as part of an on-going CLASS research project.

scholarly journals A Brief History of Cloud Application Architectures: From Deployment Monoliths via Microservices to Serverless Architectures and Possible Roads Ahead

2018 ◽  
Author(s):  
Nane Kratzke
Keyword(s):  
Cloud Computing ◽  
Resource Utilization ◽  
Reference Model ◽  
Peer To Peer ◽  
Research Project ◽  
Language Engineering ◽  
Research Activities ◽  
Cloud Application ◽  
Cloud Infrastructures ◽  
Cloud Applications

This paper presents a review of cloud application architectures and its evolution. It reports observations being made during the course of a research project that tackled the problem to transfer cloud applications between different cloud infrastructures. As a side effect we learned a lot about commonalities and differences from plenty of different cloud applications which might be of value for cloud software engineers and architects. Throughout the course of the research project we analyzed industrial cloud standards, performed systematic mapping studies of cloud-native application related research papers, performed action research activities in cloud engineering projects, modeled a cloud application reference model, and performed software and domain specific language engineering activities. Two major (and sometimes overlooked) trends can be identified. First, cloud computing and its related application architecture evolution can be seen as a steady process to optimize resource utilization in cloud computing. Second, this resource utilization improvements resulted over time in an architectural evolution how cloud applications are being build and deployed. A shift from monolithic servce-oriented architectures (SOA), via independently deployable microservices towards so called serverless architectures is observable. Especially serverless architectures are more decentralized and distributed, and make more intentional use of independently provided services. In other words, a decentralizing trend in cloud application architectures is observable that emphasizes decentralized architectures known from former peer-to-peer based approaches. That is astonishing because with the rise of cloud computing (and its centralized service provisioning concept) the research interest in peer-to-peer based approaches (and its decentralizing philosophy) decreased. But this seems to change. Cloud computing could head into future of more decentralized and more meshed services.

scholarly journals A Brief History of Cloud Application Architectures

2018 ◽  
Vol 8 (8) ◽  
pp. 1368 ◽  
Author(s):  
Nane Kratzke
Keyword(s):  
Cloud Computing ◽  
Resource Utilization ◽  
Reference Model ◽  
Peer To Peer ◽  
Research Project ◽  
Service Oriented Architectures ◽  
Language Engineering ◽  
Research Activities ◽  
Cloud Application ◽  
Cloud Applications

This paper presents a review of cloud application architectures and its evolution. It reports observations being made during a research project that tackled the problem to transfer cloud applications between different cloud infrastructures. As a side effect, we learned a lot about commonalities and differences from plenty of different cloud applications which might be of value for cloud software engineers and architects. Throughout the research project, we analyzed industrial cloud standards, performed systematic mapping studies of cloud-native application-related research papers, did action research activities in cloud engineering projects, modeled a cloud application reference model, and performed software and domain-specific language engineering activities. Two primary (and sometimes overlooked) trends can be identified. First, cloud computing and its related application architecture evolution can be seen as a steady process to optimize resource utilization in cloud computing. Second, these resource utilization improvements resulted over time in an architectural evolution of how cloud applications are being built and deployed. A shift from monolithic service-oriented architectures (SOA), via independently deployable microservices towards so-called serverless architectures, is observable. In particular, serverless architectures are more decentralized and distributed, and make more intentional use of separately provided services. In other words, a decentralizing trend in cloud application architectures is observable that emphasizes decentralized architectures known from former peer-to-peer based approaches. This is astonishing because, with the rise of cloud computing (and its centralized service provisioning concept), the research interest in peer-to-peer based approaches (and its decentralizing philosophy) decreased. However, this seems to change. Cloud computing could head into the future of more decentralized and more meshed services.

Reflections on the Cognitive Interviewing Reporting Framework

Methodology ◽  
2013 ◽  
Vol 9 (3) ◽  
pp. 123-128 ◽  
Author(s):  
Gordon Willis ◽  
Hennie Boeije
Keyword(s):  
Research Design ◽  
Cognitive Testing ◽  
Level Of Detail ◽  
Cognitive Interviewing ◽  
Research Groups ◽  
Research Project ◽  
Reporting Framework ◽  
Full Explanation ◽  
Key Steps

Based on the experiences of three research groups using and evaluating the Cognitive Interviewing Reporting Framework (CIRF), we draw conclusions about the utility of the CIRF as a guide to creating cognitive testing reports. Authors generally found the CIRF checklist to be usable, and that it led to a more complete description of key steps involved. However, despite the explicit direction by the CIRF to include a full explanation of major steps and features (e.g., research objectives and research design), the three cognitive testing reports tended to simply state what was done, without further justification. Authors varied in their judgments concerning whether the CIRF requires the appropriate level of detail. Overall, we believe that current cognitive interviewing practice will benefit from including, within cognitive testing reports, the 10 categories of information specified by the CIRF. Future use of the CIRF may serve to direct the overall research project from the start, and to further the goal of evaluation of specific cognitive interviewing procedures.

Collaboration, Power, Participation and Control on a Large Scale Research Team: Multiple Perspectives from the Oxford House Research Project

2001 ◽  
Author(s):  
Bradley Olson ◽  
Leonard Jason ◽  
Joseph R. Ferrari ◽  
Leon Venable ◽  
Bertel F. Williams ◽  
...  
Keyword(s):  
Large Scale ◽  
Research Team ◽  
Multiple Perspectives ◽  
Research Project ◽  
Oxford House ◽  
And Control
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