Titlebook: eScience on Distributed Computing Infrastructure; Achievements of PLGr Marian Bubak,Jacek Kitowski,Kazimierz Wiatr Book 2014 Springer Inter

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書目名稱eScience on Distributed Computing Infrastructure影響因子(影響力)學(xué)科排名




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書目名稱eScience on Distributed Computing Infrastructure網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱eScience on Distributed Computing Infrastructure被引頻次




書目名稱eScience on Distributed Computing Infrastructure被引頻次學(xué)科排名




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書目名稱eScience on Distributed Computing Infrastructure年度引用學(xué)科排名




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書目名稱eScience on Distributed Computing Infrastructure讀者反饋學(xué)科排名

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National Distributed High Performance Computing Infrastructure for PL-Grid Users,Computational Science in the European Research Space”, then enlarged, upgraded and improved during the PLGrid Plus project. Five Polish supercomputing sites joined forces to create a cross-country integrated computing service for our scientists. These sites were Cyfronet in Kraków, ICM in Warsaw, PS

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Recent Advances of the Cloud Platform Delivered in the Infrastructure as a Service Model for the PLth to show generic architecture of the Open-Nebula-based platform as well as enhancements we had to provide in order to meet the needs of our users and the requirements of the platform. Numerous solutions have been developed and integrated such as the authentication and authorization mechanism worki

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Multilayered IT Security Requirements and Measures for the Complex Protection of Polish Domain-Specres participating in the PLGrid Plus project. We review both aspects of assuring in-depth security in the Polish Domain-Specific Grid Infrastructure: the conceptually lower level of underlying HPC centres and the topmost level of the project, comprising services and applications. We describe the sec

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Towards Provisioning of Reproducible, Reviewable and Reusable In-Silico Experiments with the GridSp computing power, researchers are expected to create the foundation for complete and viable e-science environments. To address this demand, GridSpace2 was developed as a platform for provisioning reproducible, reviewable and reusable in-silico experiments. The resulting environment was applied in th

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