Title :
Data Avenue: Remote Storage Resource Management in WS-PGRADE/gUSE
Author :
Hajnal, Akos ; Farkas, Zoltan ; Kacsuk, Peter
Author_Institution :
Lab. of Parallel & Distrib. Syst., Inst. for Comput. Sci. & Control, Budapest, Hungary
Abstract :
State-of-the-art gateways are connected to several distributed computing infrastructures (DCIs) and are able to run jobs and workflows simultaneously in all those different DCIs. However, the flexibility of accessing data storages belonging to different DCIs is a missing feature of current gateways. SZTAKI (Institute for Computer Science and Control) has developed a Data Avenue Blacktop service and aLiferay-based Data Avenue port let that open the door for integrating such features into science gateways. The paper explains the design considerations of the Data Avenue Blacktop service and its usage scenarios in science gateways through the Data Avenue port let.
Keywords :
data handling; distributed processing; DCI; Institute for Computer Science and Control; SZTAKI; WS-PGRADE/gUSE; aLiferay-based data avenue port; data avenue blacktop service; data storages; distributed computing infrastructures; remote storage resource management; Conferences; Logic gates; data handling; data storage systems; data transfer; grid computing;
Conference_Titel :
Science Gateways (IWSG), 2014 6th International Workshop on
Conference_Location :
Dublin
DOI :
10.1109/IWSG.2014.7
