Results 201 to 210 of about 1,233 (260)

MHub.ai: A Standardized Platform for Reproducible AI Research in Medical Imaging

Aerts H, Nürnberg L, Bontempi D, Pai S, Lisle C, Pieper S, Kikinis R, de Leemput Sv, Soni R, Murugesan G, Ciausu C, Groeneveld M, Dorfner F, Jiang J, Rangnekar A, Veeraraghavan H, Bosma J, Bressem K, Mak R, Fedorov A.   +19 more
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Fractal: Towards FAIR bioimage analysis at scale with OME-Zarr-native workflows

Lüthi J, Cerrone L, Comparin T, Hess M, Hornbachner R, Tschan A, Glasner de Medeiros GQ, Repina NA, Cantoni LK, Steffen FD, Bourquin J, Liberali P, Pelkmans L, Uhlmann V.   +13 more
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Container Orchestration for Scientific Workflows

2015 IEEE International Conference on Cloud Engineering, 2015
Recently, Linux container technology has been gaining attention as it promises to transform the way software is developed and deployed. The portability and ease of deployment makes Linux containers an ideal technology to be used in scientific workflow platforms.
Wolfgang Gerlach, Wei Tang 0001, Andreas Wilke, Dan Olson, Folker Meyer   +4 more
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Container Orchestration for Dispersed Computing

Proceedings of the 5th International Workshop on Container Technologies and Container Clouds, 2019
In the era of Internet of Things, there is an increasing demand for networked computing to support the requirements of time-constrained, compute-intensive distributed applications. We present a container orchestration architecture for dispersed computing, and its implementation in an open source software called Jupiter.
Pradipta Ghosh, Quynh Nguyen 0002, Bhaskar Krishnamachari   +2 more
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Distributed and Decentralized Orchestration of Containers on Edge Clouds

Journal of Grid Computing, 2021
Cloud Computing has been successful in providing substantial amounts of resources to deploy scalable and highly available applications. However, there is a growing necessity of lower latency services and cheap bandwidth access to accommodate the expansion of IoT and other applications that reside at the internet’s edge.
Pires, André, Simão, José, Veiga, Luís   +2 more
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Container Orchestration on HPC Clusters

2019
Use of software containers and services in science is a rising trend that is not satisfied by the HPC computing resources often available in research contexts. We propose a method to grow Kubernetes clusters onto transient nodes allocated through the Grid Engine batch workload manager.
Marco Enrico Piras, Luca Pireddu, Marco Moro, Gianluigi Zanetti   +3 more
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Containers and Orchestration

2020
It’s always fascinating to watch new technologies move through the development ecosystem. If you’re old enough, you might remember the move from monolithic desktop applications to client/server architecture. And then everything had to be running on the Web. And then back to a service-oriented architecture. And then onto the Web again.
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