TY  - JOUR
AU  - Venugopal, S
AU  - Buyya, R
AU  - Ramamohanarao, K
Y2  - 2014/05/22
Y1  - 2006
SN  - 0360-0300
UR  - http://hdl.handle.net/11343/30677
AB  - Data Grids have been adopted as the next generation platform by many scientific communities that need to share, access, transport, process, and manage large data collections distributed worldwide. They combine high-end computing technologies with high-performance networking and wide-area storage management techniques. In this article, we discuss the key concepts behind Data Grids and compare them with other data sharing and distribution paradigms such as content delivery networks, peer-to-peer networks, and distributed databases. We then provide comprehensive taxonomies that cover various aspects of architecture, data transportation, data replication and resource allocation, and scheduling. Finally, we map the proposed taxonomy to various Data Grid systems not only to validate the taxonomy but also to identify areas for future exploration.
LA  - English
PB  - Association for Computing Machinery (ACM)
KW  - Distributed Computing
T1  - A taxonomy of data grids for distributed data sharing, management, and processing
DO  - 10.1145/1132952.1132955
IS  - ACM Computing Surveys
VL  - 38
IS  - 1
SP  - 123-175
L1  - /bitstream/handle/11343/30677/280039_57086.pdf?sequence=1&isAllowed=n
ER  -