DocumentCode
3146110
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
fYear
2011
fDate
16-20 May 2011
Firstpage
2085
Lastpage
2088
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011 IEEE International Symposium on
Conference_Location
Shanghai
ISSN
1530-2075
Print_ISBN
978-1-61284-425-1
Electronic_ISBN
1530-2075
Type
conf
DOI
10.1109/IPDPS.2011.383
Filename
6009023
Link To Document