Title :
Policy Based Data Placement in High Performance Scientific Computing
Author :
Amer, Muhammad Ali
Author_Institution :
Inf. Sci. Inst., Univ. of Southern California, Marina del Rey, CA, USA
Abstract :
The recent increased use of workflow management systems by large scientific collaborations presents the challenge of highly dynamic data placement in distributed systems. Such data placement may be constrained by the enforcement of data placement policies. We present a Policy based Data Placement Service that enforces data placement policies, interfaces with workflow managers and improves workflow efficiency by offloading data staging jobs from workflows.
Keywords :
distributed processing; natural sciences computing; workflow management software; distributed systems; high performance scientific computing; policy based data placement; workflow management systems; Collaboration; Distributed databases; Engines; Handheld computers; Monitoring; Runtime; Workflow management software;
Conference_Titel :
Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011 IEEE International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-425-1
Electronic_ISBN :
1530-2075
DOI :
10.1109/IPDPS.2011.383