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
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;
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
DOI :
10.1109/HIPC.2009.5433229
