Search Results - Open Cloud Computing Interface

OpenEdgeComputeFramework. A Framework for Seamless Edge-Cloud Computing by Andrei-Robert CAZACU

“…Among the emerging frameworks, be them open source such as EdgeX framework, research originating such as FogBus2, or enterprise solution such AWS GreenGrass, several common architectural patterns were identified such as the heavy use of Containerization, de-coupling of components by using message passing interfaces and network segregation among edge and cloud devices. …”
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Design of OpenFOAM mesh generation client software based on C/S architecture by Zhang Zhida, Huai Xiaoyong, Gao Ruochen

“…The client remotely invokes the OpenFOAM mesh generation computing service on the cloud through the mesh generation protocol, and builds a user interaction interface according to the service interface specification, realizing cloud collaboration mesh calculation function. …”
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RINX 2.0: A Containerized Climate Raster Information Extraction System on OpenShift Cloud Environment by D. Jain, J. Blossom, J. Hayes, H. Gibson, S. Rifas-Shimann, D. R. Gold

“…RINX (Raster INformation eXtraction) 2.0 is an advanced solution for efficiently extracting climate data from large raster datasets in a cloud computing environment. Building upon the original RINX 1.0, which utilized high-performance computing clusters, RINX 2.0 leverages cloud technologies such as OpenShift and PostGIS to handle massive datasets and automate the extraction process. …”
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GRAPEVNE - Graphical Analytical Pipeline Development Environment for Infectious Diseases [version 1; peer review: 2 approved] by Samir Bhatt, John-Stuart Brittain, Houriiyah Tegally, Rhys Inward, Joseph Tsui, Gaspary Mwanyika, Bernardo Gutierrez, Sofonias Kifle Tessema, Tuyen Huynh, Abhishek Dasgupta, John T. McCrone, George Githinji, Moritz U.G. Kraemer, Stephen Ratcliffe

“…However, utilising the wide array of clinical, genomic, epidemiological, and spatial data collected globally is difficult due to differences in data preprocessing, data science capacity, and access to hardware and cloud resources. To facilitate large-scale and routine analyses of infectious disease data at the local level (i.e. without sharing data across borders), we developed GRAPEVNE (Graphical Analytical Pipeline Development Environment), a platform enabling the construction of modular pipelines designed for complex and repetitive data analysis workflows through an intuitive graphical interface. …”
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Service-Based Architecture for 6G RAN: A Cloud Native Platform That Provides Everything as a Service by Guangyi Liu, Na Li, Chunjing Yuan, Siqi Chen, Xuan Liu

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MEWC: A user-friendly AI workflow for customised wildlife-image classification by Brook, Barry W., Buettel, Jessie C., van Lunteren, Peter, Rajmohan, Prakash P., Aandahl, R. Zach

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