Performance Assessment of Computational Gridon Weather Indices from HOAPS Data
Long term rainfall analysis and prediction is a
challenging task especially in the modern world where the impact of
global warming is creating complications in environmental issues.
These factors which are data intensive require high performance
computational modeling for accurate prediction. This research paper
describes a prototype which is designed and developed on grid
environment using a number of coupled software infrastructural
building blocks. This grid enabled system provides the demanding
computational power, efficiency, resources, user-friendly interface,
secured job submission and high throughput. The results obtained
using sequential execution and grid enabled execution shows that
computational performance has enhanced among 36% to 75%, for
decade of climate parameters. Large variation in performance can be
attributed to varying degree of computational resources available for
job execution.
Grid Computing enables the dynamic runtime selection, sharing
and aggregation of distributed and autonomous resources which plays
an important role not only in business, but also in scientific
implications and social surroundings. This research paper attempts to
explore the grid enabled computing capabilities on weather indices
from HOAPS data for climate impact modeling and change
detection.
[1] Bart Jacob, Luis Ferreira, "Enabling Applications for Grid Computing
with Globus", Redbooks IBM, June 2008.
[2] I. Foster and C Kesselman, "The Grid2: Blueprint for a New Computing
Infrastructure." Morgan Kaufmann publisher, 2004.
[3] Litzkow,M., and Livny, M. Experience with the Condor distributed
batch system, IEEE Workshop on Experimental Distributed Systems,
IEEE Computer Society Press, Los Alamitos, 1990.
[4] Litzkow,M., and Livny, M and Mukta, M. W., Condor, - A hunter of idle
workstations, in 8th International Conference on Distributed
ComputingSystems, 1988.
[5] Luis Ferreira, Viktor Berstis, "Introduction to Grid Computing with
Globus", Redbooks IBM, October 2003.
[6] Daniel Minoli,"A Networking Approach to Grid Computing",Wiley-
Interscience, 2004.
[7] H. Grassl, V.Jost, J.Schulz, M.R. Ramesh Kumar, P. Bauer, and P.
Schhluessel, " The Hamburg Ocean-Atmostphere Parameters and Fluxex
from Satellite Data: A CLimatological Atlas of Satellite derived AirSea
Interatcion Parameters over the World Oceans", Max-Planck
Institute,hamburg, Germany, November 2000.
[8] http:// http://cera-www.dkrz.de/WDCC/ui/
[9] http://www.globus.org/toolkit/docs/4.0/Exution/wsgram
[10] Sotomayor Borja, Childers Lisa,"Globus Toolkit4, Programming java
Services", Morgan Kaufmann publisher, 2006
[1] Bart Jacob, Luis Ferreira, "Enabling Applications for Grid Computing
with Globus", Redbooks IBM, June 2008.
[2] I. Foster and C Kesselman, "The Grid2: Blueprint for a New Computing
Infrastructure." Morgan Kaufmann publisher, 2004.
[3] Litzkow,M., and Livny, M. Experience with the Condor distributed
batch system, IEEE Workshop on Experimental Distributed Systems,
IEEE Computer Society Press, Los Alamitos, 1990.
[4] Litzkow,M., and Livny, M and Mukta, M. W., Condor, - A hunter of idle
workstations, in 8th International Conference on Distributed
ComputingSystems, 1988.
[5] Luis Ferreira, Viktor Berstis, "Introduction to Grid Computing with
Globus", Redbooks IBM, October 2003.
[6] Daniel Minoli,"A Networking Approach to Grid Computing",Wiley-
Interscience, 2004.
[7] H. Grassl, V.Jost, J.Schulz, M.R. Ramesh Kumar, P. Bauer, and P.
Schhluessel, " The Hamburg Ocean-Atmostphere Parameters and Fluxex
from Satellite Data: A CLimatological Atlas of Satellite derived AirSea
Interatcion Parameters over the World Oceans", Max-Planck
Institute,hamburg, Germany, November 2000.
[8] http:// http://cera-www.dkrz.de/WDCC/ui/
[9] http://www.globus.org/toolkit/docs/4.0/Exution/wsgram
[10] Sotomayor Borja, Childers Lisa,"Globus Toolkit4, Programming java
Services", Morgan Kaufmann publisher, 2006
@article{"International Journal of Architectural, Civil and Construction Sciences:56174", author = "Madhuri Bhavsar and Anupam K Singh and Shrikant Pradhan", title = "Performance Assessment of Computational Gridon Weather Indices from HOAPS Data", abstract = "Long term rainfall analysis and prediction is a
challenging task especially in the modern world where the impact of
global warming is creating complications in environmental issues.
These factors which are data intensive require high performance
computational modeling for accurate prediction. This research paper
describes a prototype which is designed and developed on grid
environment using a number of coupled software infrastructural
building blocks. This grid enabled system provides the demanding
computational power, efficiency, resources, user-friendly interface,
secured job submission and high throughput. The results obtained
using sequential execution and grid enabled execution shows that
computational performance has enhanced among 36% to 75%, for
decade of climate parameters. Large variation in performance can be
attributed to varying degree of computational resources available for
job execution.
Grid Computing enables the dynamic runtime selection, sharing
and aggregation of distributed and autonomous resources which plays
an important role not only in business, but also in scientific
implications and social surroundings. This research paper attempts to
explore the grid enabled computing capabilities on weather indices
from HOAPS data for climate impact modeling and change
detection.", keywords = "Climate model, Computational Grid, GridApplication, Heterogeneous Grid", volume = "2", number = "6", pages = "129-7", }