scholarly journals A Simplified Access to Grid Resources by Science Gateways

2011 ◽  
Author(s):  
Marco FARGETTA ◽  
Roberto Barbera ◽  
Riccardo Rotondo
Keyword(s):  
Science Gateways ◽  
Grid Resources

Building Science Gateways for Humanities

2020 ◽  
Author(s):  
Jun Zhou ◽  
Karen Smith ◽  
Greg Wilsbacher ◽  
Paul Sagona ◽  
David Reddy ◽  
...  
Keyword(s):  
Building Science ◽  
Science Gateways

A commodity market algorithm for pricing substitutable Grid resources

2007 ◽  
Vol 23 (5) ◽  
pp. 688-701 ◽  
Author(s):  
Gunther Stuer ◽  
Kurt Vanmechelen ◽  
Jan Broeckhove
Keyword(s):  
Commodity Market ◽  
Grid Resources

A AAAA model to support science gateways with community accounts

2007 ◽  
Vol 19 (6) ◽  
pp. 893-904 ◽  
Author(s):  
Von Welch ◽  
Jim Barlow ◽  
James Basney ◽  
Doru Marcusiu ◽  
Nancy Wilkins-Diehr
Keyword(s):  
Science Gateways

scholarly journals Fault Tolerant PLBGSA: Precedence Level Based Genetic Scheduling Algorithm for P2P Grid

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Piyush Chauhan ◽  
Nitin
Keyword(s):  
Genetic Algorithm ◽  
Directed Acyclic Graph ◽  
Fault Tolerant ◽  
Scheduling Algorithm ◽  
Complex Task ◽  
Grid Scheduling ◽  
Complex Tasks ◽  
Small Organizations ◽  
Grid Resources ◽  
Desirable Trait

Due to monetary limitation, small organizations cannot afford high end supercomputers to solve highly complex tasks. P2P (peer to peer) grid computing is being used nowadays to break complex task into subtasks in order to solve them on different grid resources. Workflows are used to represent these complex tasks. Finishing such complex task in a P2P grid requires scheduling subtasks of workflow in an optimized manner. Several factors play their part in scheduling decisions. The genetic algorithm is very useful in scheduling DAG (directed acyclic graph) based task. Benefit of a genetic algorithm is that it takes into consideration multiple criteria while scheduling. In this paper, we have proposed a precedence level based genetic algorithm (PLBGSA), which yields schedules for workflows in a decentralized fashion. PLBGSA is compared with existing genetic algorithm based scheduling techniques. Fault tolerance is a desirable trait of a P2P grid scheduling algorithm due to the untrustworthy nature of grid resources. PLBGSA handles faults efficiently.

scholarly journals A concept for attribute-based authorization on D-Grid resources

2009 ◽  
Vol 25 (3) ◽  
pp. 275-280 ◽  
Author(s):  
Ralf Groeper ◽  
Christian Grimm ◽  
Siegfried Makedanz ◽  
Hans Pfeiffenberger ◽  
Wolfgang Ziegler ◽  
...  
Keyword(s):  
Grid Resources

scholarly journals Infrastructure Aware Scientific Workflows and Infrastructure Aware Workflow Managers in Science Gateways

2016 ◽  
Vol 14 (4) ◽  
pp. 641-654 ◽  
Author(s):  
Peter Kacsuk ◽  
Gabor Kecskemeti ◽  
Attila Kertesz ◽  
Zsolt Nemeth ◽  
József Kovács ◽  
...  
Keyword(s):  
Scientific Workflows ◽  
Science Gateways
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