DocumentCode
1873080
Title
Automatic data placement and replication in grids
Author
Ding, Ying ; Lu, Ying
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of Nebraska - Lincoln, Lincoln, NE, USA
fYear
2009
fDate
16-19 Dec. 2009
Firstpage
30
Lastpage
39
Abstract
Data grids provide geographically distributed storage and computing resources for large data-intensive applications. To support fast data access and processing, effective data management is essential. In this paper, we propose two novel algorithms on data placement and data replication. We evaluate the algorithms through intensive simulations. Results show that the new algorithms achieve significant improvement in facilitating load balancing, reducing job response time, and saving network bandwidth.
Keywords
data handling; grid computing; resource allocation; data grids; data management; data placement; data replication; data-intensive applications; distributed computing resources; distributed storage resources; Clustering algorithms; Collision mitigation; Computational modeling; Delay; Financial advantage program; Grid computing; Large Hadron Collider; Load management; Mesh generation; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing (HiPC), 2009 International Conference on
Conference_Location
Kochi
Print_ISBN
978-1-4244-4922-4
Electronic_ISBN
978-1-4244-4921-7
Type
conf
DOI
10.1109/HIPC.2009.5433229
Filename
5433229
Link To Document