Titlebook: Science Gateways for Distributed Computing Infrastructures; Development Framewor Péter Kacsuk Book 2014 Springer International Publishing S

思乡病

VisIVO Gateway and VisIVO Mobile for the Astrophysics Community which allows smartphone devices to perform analysis and visual discovery of large-scale astrophysical datasets. The mobile application configures and submits the VisIVO workflows by means of the gUSE remote API.

Pandemic

NATTY

Introduction to the WS-PGRADE/gUSE Science Gateway Frameworktific user communities can be achieved. gUSE is also a workflow system that enables scientific communities to compose and execute a series of computational or data manipulation steps in a scientific application on Distributed Computing Infrastructures (DCIs). The current chapter summarizes the most

Lignans

Workflow Concept of WS-PGRADE/gUSEflow Management Coalition, among others in aspects of implemented data flow structures, and several workflow patterns are identified as commonly used and meaningful workflow structures. The workflow concept of gUSE is shown by introducing the supported data patterns and illustrating their creation i

针叶

慷慨援助

Remote Storage Resource Management in WS-PGRADE/gUSE in all those different DCIs. Data of e-Science applications might be stored on different storage resources, making it difficult for various user communities to browse, access, or update it. This chapter presents the Data Avenue concept and related tools that aim at hiding technical details of acces

EXPEL

WS-PGRADE/gUSE Securitynformation leakage to unauthorized users. This also applies to e-Science gateways, where sensitive (for example, medical) data might be stored. Moreover, e-Science gateways usually enable the usage of distributed computing infrastructures that apply some sort of authentication, which should either b

palpitate

虚弱

Developing Science Gateways at Various Levels of Granularity Using WS-PGRADE/gUSEeven hide the details of the underlying infrastructure, while on the other hand some provide completely customized high-level interfaces to end-users. In this chapter the different granularity levels at which science gateways can be developed with WS-PGRADE/gUSE are analysed. The differences between

平项山

Sharing Science Gateway Artefacts Through Repositoriesxecuted. Science gateways hide details by coordinating the execution of experiments using different infrastructures and workflow systems. ER-flow/SHIWA and the SCI-BUS project developed repositories to share artefacts such as applications, portlets, workflows, etc. inside and among research communit