• The cloud application modelling and execution language 

      Achilleos, Achilleas; Kritikos, Kyriakos; Rossini, Alessandro; Kapitsaki, Georgia; Domaschka, Jörg; Orzechowski, Michal; Seybold, Daniel; Griesinger, Frank; Nikolov, Nikolay; Romero, Daniel; Papadopoulos, George A. (Peer reviewed; Journal article, 2019)
      Cloud computing offers a flexible pay-as-you-go model for provisioning application resources, which enables applications to scale on-demand based on the current workload. In many cases, though, users face the single vendor ...
    • Cloud Computing and Future Trends 

      Seland, Johan Simon (Lecture, 2010)
    • Cloud Security Requirements - A checklist with security and privacy requirements for public cloud services 

      Bernsmed, Karin; Meland, Per Håkon; Jaatun, Martin Gilje (Research report, 2015)
      This document contains a checklist that can be used to develop or evaluate security and privacy requirements for Cloud computing services. The content has been gathered from established industry standards and best practices, ...
    • Cloud-droplet growth due to supersaturation fluctuations in stratiform clouds 

      Li, Xiangyu; Svensson, Gunilla; Brandenburg, Axel; Haugen, Nils Erland L (Journal article; Peer reviewed, 2019)
      Condensational growth of cloud droplets due to supersaturation fluctuations is investigated by solving the hydrodynamic and thermodynamic equations using direct numerical simulations (DNS) with droplets being modeled as ...
    • CloudMF: Model-Driven Management of Multi-Cloud Applications 

      Ferry, Nicolas; Chauvel, Franck; Song, Hui; Rossini, Alessandro; Lushpenko, Maksym; Solberg, Arnor (Journal article; Peer reviewed, 2018)
      While the number of cloud solutions is continuously increasing, the development and operation of large-scale and distributed cloud applications are still challenging. A major challenge is the lack of interoperability between ...
    • CloudStore — towards scalability, elasticity, and efficiency benchmarking and analysis in Cloud computing 

      Lehrig, Sebastian; Sanders, Richard Torbjørn; Brataas, Gunnar; Cecowski, Mariano; Ivansek, Simon; Polutnik, Jure (Journal article; Peer reviewed, 2017)
      This paper describes CloudStore, an open source application that lends itself to analyzing key characteristics of Cloud computing platforms. Based on an earlier standard from transaction processing, it represents a simplified ...
    • Cluster Dynamics and Innovation 

      Rialland, Agathe Isabelle (MARINTEK Reports;MT27 A09-090, Working paper, 2009)
      The present paper presents the concept of cluster, what they are, which benefits they offer, the various types of clusters, the main elements forming a duster, and a tentative mode! for explaining the dynamics of dusters ...
    • Cluster-based information retrieval using pattern mining 

      Djenouri, Youcef; Belhadi, Asma; Djenouri, Djamel; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2020)
      This paper addresses the problem of responding to user queries by fetching the most relevant object from a clustered set of objects. It addresses the common drawbacks of cluster-based approaches and targets fast, high-quality ...
    • Cluster-size-dependent interaction between ethylene and CuCl2 clusters supported via γ-alumina 

      Qi, Yanying; Fenes, Endre; Ma, Hongfei; Wang, Yalan; Rout, Kumar Ranjan; Fuglerud, Terje; Marco, Piccinini; Chen, De (Peer reviewed; Journal article, 2020)
      Alumina-supported copper chloride serves as an industrial catalyst for ethylene oxychlorination, resulting from its high activity and selectivity. A better understanding of the detailed active site structure and reaction ...
    • Clustering and Dimensionality-reduction Techniques Applied on Power Quality Measurement Data 

      Rosenlund, Gjert Hovland; Høiem, Kristian Wang; Torsæter, Bendik Nybakk; Andresen, Christian Andre (Chapter; Peer reviewed, 2020)
      The power system is changing rapidly, and new tools for predicting unwanted events are needed to keep a high level of security of supply. Large volumes of data from the Norwegian power grid have been collected over several ...
    • Clustering and Precipitation during Early-Stage Artificial Aging of Al–Si–Mg(–Cu) Foundry Alloys 

      Wenner, Sigurd; Hatzoglou, Constantinos; Mørtsell, Eva Anne; Åsholt, Petter (Peer reviewed; Journal article, 2023)
      High-Si aluminum foundry alloys are an important material class for products with complex 3D geometries where casting is the most suitable production method. With Mg and/or Cu additions, these alloys gain strength upon ...
    • Clustering and Vacancy Behavior in High- and Low-Solute Al-Mg-Si Alloys 

      Wenner, Sigurd; Nishimura, Katsuhiko; Matsuda, Kenji; Matsuzaki, Teiichiro; Tomono, Dai; Pratt, Francis L.; Marioara, Calin Daniel; Holmestad, Randi (Journal article; Peer reviewed, 2014)
      The precipitate microstructure and vacancy distribution in Al-Mg-Si alloys with different amounts of solute and different heat treatments were investigated by transmission electron microscopy and muon spin relaxation ...
    • Clusters and coherent voids in particle-laden wake flow 

      Shi, Zhaoyu; Jiang, Fengjian; Zhao, Lihao; Andersson, Helge Ingolf (Peer reviewed; Journal article, 2021)
      Inertial point particles suspended in a two-dimensional unsteady circular cylinder flow at Re = 100 are studied by one-way coupled three-dimensional numerical simulations. The striking clustering pattern in the near-wake ...
    • CNN-based Feature Extraction for Robotic Laser Scanning of Weld Grooves in Tubular T-joints 

      Mjølhus, Øyvind Wormdal; Cibicik, Andrej; Njaastad, Eirik B; Egeland, Olav (Chapter, 2022)
      This paper presents an algorithm for feature point extraction from scanning data of large tubular T-joints (a subtype of a TKY joint). Extracting such feature points is a vital step for robot path generation in robotic ...
    • CNN-XGBoost fusion-based affective state recognition using EEG spectrogram image analysis 

      Khan, Md. Sakib; Salsabil, Nishat; Alam, Md. Golam Rabiul; Dewan, M. Ali Akber; Uddin, Md Zia (Peer reviewed; Journal article, 2022)
      Recognizing emotional state of human using brain signal is an active research domain with several open challenges. In this research, we propose a signal spectrogram image based CNN-XGBoost fusion method for recognising ...
    • CO and CO2 Anode Gas Concentration at Lower Current Densities in Cryolite Melt 

      Stanic, Nikolina; Bø, Embla Knutsdotter Øi Tharaldse; Sandnes, Espen (Peer reviewed; Journal article, 2020)
      This work aims to study the CO-CO2 gas composition at low potentials and low current densities in cryolite melt with relatively low alumina content (≤2 wt%). There is a scarcity of data in the literature regarding the low ...
    • Co-creating public health measures with adolescents in municipalities: municipal actors’ views on inhibitors and promoters for adolescent involvement 

      Sylte, Mari; Lillefjell, Monica; Anthun, Kirsti Sarheim (Peer reviewed; Journal article, 2023)
      Aim: To explore what municipal actors consider as inhibiting and promoting adolescents’ involvement in public health measures in municipalities. Methods: A qualitative study with individual and group interviews was ...
    • Co-creation for innovation: why do customers get involved? 

      Chasanidou, Dimitra; Karahasanovic, Amela (Chapter, 2017)
      Companies employ innovation platforms, like crowdsourcing and open innovation platforms, to gather ideas and engage their customers in service innovation processes. Although this might be a technically easy way for customer ...
    • Co-designing a mHealth Application for Self-management of Cystic Fibrosis 

      Vilarinho, Thomas; Floch, Jacqueline; Stav, Erlend (Journal article; Peer reviewed, 2017)
      Self-management has the potential to improve patient care and decrease healthcare costs. It is especially beneficial for patients suffering from chronic diseases that require continuous therapy and follow-up such as cystic ...
    • Co-production of future scenarios of policy action plans in a science-policy-industry interface – The case of microfibre pollution from waste water treatment plants in Norway 

      Tiller, Rachel; Booth, Andy; Kubowicz, Stephan; Jahren, Susie (Peer reviewed; Journal article, 2021)
      One of the ambitions of the UN Decade of Ocean Science is stakeholder interaction to co-produce new ideas and solutions for policy action plans to ensure that environmental challenges are mitigated in a timely manner. ...