Database Reference
In-Depth Information
Nieto-Santisteban, M. A., Gray, J., Szalay, A.,
Annis, J., Thakar, A. R., & O'Mullane, W. (2005).
When database systems meet the grid. In CIDR
(pp. 154-161).
Watson, P. (2001). Databases and the grid. UK
e-Science Technical Report Series.
Wehrle, P., Miquel, M., & Tchounikine,A. (2007).
A grid services-oriented architecture for efficient
operation of distributed data warehouses on
Globus. In Proceedings of the 21st international
Conference on Advanced Networking and Ap-
plications (AINA) (pp. 994-999).
Park, S., & Kim, J. (2003). Chameleon: A re-
source scheduler in a data grid environment. In
Proceedings of the 3st international Symposium
on Cluster Computing and the Grid . IEEE Com-
puter Society.
Wolski, R. (1997). Forecasting network perfor-
mance to support dynamicscheduling using the
network weather service. In Proceedings of the
6th IEEE international Symposium on High Per-
formance Distributed Computing (August 05 - 08,
1997) (pp. 316). IEEE.
Poess, M., & Othayoth, R. K. (2005). Large
scale data warehouses on grid: Oracle database
10g and HP proliant servers. In Proc. of the 31st
international Conference on Very Large Data
Bases (pp. 1055-1066).
Ranganathan, K., & Foster, I. (2004). Computa-
tion scheduling and data replication algorithms for
data Grids. In Grid resource management: State of
the art and future trends (pp. 359-373). Norwell,
MA: Kluwer Academic Publishers.
KEY TERMS AND DEFINITIONS
Community Scheduler: It is a specialized
middleware, responsible for matching users' jobs
requirements with the available resources in a
grid by the interaction with local schedulers. It
assigns jobs to sites through a process that, besides
requirement matchmaking, can also comprise
some kind of negotiation with local schedulers.
Sometimes it is also called Resource Broker or
Meta-scheduler.
Data Grid: A Grid environment whose ser-
vices are mainly used to deal with (including to
store, process, replicate and move) huge volumes
of distributed shared data or over which are ex-
ecuted grid-based applications that consume or
generate huge volumes of data.
Grid: The term Grid is a basic infrastructure
used to interconnect and provide access to widely
distributed, and possibly heterogeneous, shared
resourced that may belong to distinct organiza-
tions.
Grid Resource Management System: It is the
resource management system that runs over the
grid and is used to manage the available shared
resources, providing a wide range of services (like
efficient data movement, replica management
Roy, A., & Sander, V. (2004). GARA: A uniform
quality of service architecture. In Grid resource
management: State of the art and future trends
(pp. 377-394). Norwell, MA: Kluwer Academic
Publishers.
Siva Sathya, S., Kuppuswami, S., & Ragupathi,
R. (2006). Replication strategies for data grids.
International Conference on Advanced Comput-
ing and Communications. ADCOM 2006 ( pp
123-128).
Stöhr et al, 2000 Stöhr, T., Märtens, H., & Rahm,
E. 2000. Multi-Dimensional Database Allocation
for Parallel Data Warehouses. In Proceedings of
the 26th international Conference on Very Large
Data Bases. 273-284.
Transaction processing council benchmarks
(2008). Retrieved from http://www.tpc.org
Venugopal, S., Buyya, R., & Ramamohanarao,
K. (2006). A taxonomy of Data Grids for dis-
tributed data sharing, management, and pro-
cessing. ACM Computing Surveys , 38 (1), 3.
doi:10.1145/1132952.1132955
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