Description
Data management is becoming one of the key issues for eInfrastructures. Not only are scientific instruments and simulations producing increasing amounts of data, this data needs to be made available to worldwide collaborators in an efficient, reliable, and secure manner. In this session we discuss several aspects of data management on eInfrastructures, from providing reliable access to storage, efficient data transfers between web services, to data centric applications and their workflows.
Riccardo Zappi
(INFN-CNAF)
15/04/2010, 09:00
Software services exploiting and/or extending grid middleware (gLite, ARC, UNICORE etc)
Oral
StoRM is a high performance and flexible SRM solution for general disk based storage resources that bring in Grid the advantages of high performance storage systems based on cluster file system, such as GPFS from IBM and Lustre from SUN. StoRM can be used in small data centre with low rates of storage management requests and, at the same time, it is capable to grow in terms of storage and...
Alvaro Fernandez Casani
(Instituto de Fisica Corpuscular (IFIC) UV-CSIC)
15/04/2010, 09:20
Software services exploiting and/or extending grid middleware (gLite, ARC, UNICORE etc)
Oral
Services needed to access scientific data and computational resources in a distributed computing infrastructure are getting more and more complex. Our Atlas Tier2/Tier3 users, and National e-Science and GRID-CSIC initiatives researchers, have different requirements but all need ubiquitous and efficient access to these resources. We will provide details on how we use WLCG and Glite middleware,...
Mr
Spiros Koulouzis
(Informatics Institute, University of Amsterdam, the Netherlands)
15/04/2010, 09:40
Software services exploiting and/or extending grid middleware (gLite, ARC, UNICORE etc)
Oral
Despite numerous benefits, many Web Services (WS) face problems with respect to data transport, either because SOAP doesn't offer a scalable way of transporting large data-sets or because orchestration workflows (WF) don’t move data around efficiently. In this paper we address both problems with the development of the ProxyWS. This is a WS utilizing protocols offered by the Virtual Resource...
Mr
Jakub MOSCICKI
(CERN)
15/04/2010, 10:00
Scientific results obtained using distributed computing technologies
Oral
In this work, we present an evaluation of a late-binding scheduler for
HEP distributed analysis, where data is distributed globally with
multiple replicas in a non-uniform way. We employ the late-binding
technique in order to optimize job placements thereby minimizing the
per-job time-to-completion. We evaluate different scheduling and
prioritization strategies, and evaluate the approach...
