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Remote storage management in science gateways via data bridging
Author(s) -
Hajnal Ákos,
Márton István,
Farkas Zoltán,
Kacsuk Péter
Publication year - 2015
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3520
Subject(s) - computer science , bridging (networking) , workflow , distributed data store , data management , implementation , world wide web , distributed computing , data as a service , database , service (business) , computer network , software engineering , economy , economics
Summary State‐of‐the‐art science gateways can be connected to several distributed computing infrastructures (DCIs) and are able to run jobs and workflows simultaneously in all those DCIs. Flexibility of accessing diverse data storages from these workflows and assisting end users to manage these storages are however the missing features in current gateway implementations, in which these problems often prove to be a barrier of exploiting the power of distributed computing by user communities having no or little IT competence. This paper addresses these issues by integrating a data bridging service called Data Avenue into WS‐PGRADE/gUSE portal framework. Data Avenue offers tools for the end users to easily manage their data residing on various storage resources, and also, jobs become capable of accessing different storages regardless of the particular distributed computing infrastructure where the job is currently being run. Copyright © 2014 John Wiley & Sons, Ltd.