Information Technology Reference
In-Depth Information
increases the risk for failure. Learn from the
business models we have with our other service
infrastructures: water, gas, telephony, electricity,
mass transportation, the Internet, and the World
Wide Web. Despite this wide variety of areas,
there is only a handful of successful business
models: on one end of the spectrum, you pay the
total price, and the whole thing is yours (CapEx).
Or you pay only a share of it, but pay the other
share on a per usage basis. Or you rent every-
thing, and pay chunks back on a regular basis,
like a subscription fee or leasing. Or you pay just
for what you use (OpEx). Sometimes, however,
there are 'hidden' or secondary applications. For
example, electrical power alone doesn't help. It's
only useful if it generates something, e.g. light, or
heat, or cooling. And this infrastructure is what
creates a whole new industry of appliances: light
bulbs, heaters, refrigerators, and so on. Back to
Grids and clouds: providing the right (transparent)
infrastructure (services) and the right (simple)
business model will most likely create a new set
of services which most probably will improve our
quality of life in the future.
Badia, R. M., Labarta, J. S., Sirvent, R. L.,
Perez, J. M., Cela, J. M., & Grima, R. (2003).
Programming Grid applications with GRID Su-
perscalar. Journal of Grid Computing , 1 , 151-170.
doi:10.1023/B:GRID.0000024072.93701.f3
Baker, S. (2007, December 13). Google and the
wisdom of clouds. Business Week . Retrieved
from www.businessweek.com/magazine/ con-
tent/07_52/ b4064048925836.htm
BEinGRID. (2008). Business experiments in grids .
Retrieved from www.beingrid.com
Beltrame, F., Maggi, P., Melato, M., Molinari,
E., Sisto, R., & Torterolo, L. (2006). SRB data
Grid and compute Grid integration via the Engin-
Frame Grid portal. Proceedings of the 1 st SRB
Workshop , 2-3 February 2006, San Diego, USA.
Retrieved from www.sdsc.edu/srb/Workshop /
SRB-handout-v2.pdf
BIRN. (2008). Biomedical Informatics Research
Network . Retrieved from www.nbirn.net/index.
shtm
Buyya, R., Abramson, D., & Giddy, J. (2000).
Nimrod/G: An architecture for a resource manage-
ment and scheduling system in a global computa-
tional grid. Proceedings of the 4th International
Conference on High Performance Computing in
the Asia-Pacific Region . Retrieved from www.
csse.monash.edu.au /~davida/nimrod/ nimrodg.
htm
REFERENCES
Ahronovitz, M., et al. (2010). Cloud comput-
ing use cases . A white paper produced by the
Cloud Computing Use Case Discussion Group.
Retrieved from http://groups.google.com/ group/
cloud-computing-use-cases
CCI. (2010). Amazon cluster compute instances .
Retrieved from http://aws.amazon.com/ hpc-
applications/
Altintas, I., Berkley, C., Jaeger, E., Jones, M., Lu-
dascher, B., & Mock, S. (2004). Kepler: An exten-
sible system for design and execution of scientific
workflows. Proceedings of the 16th International
Conference on Scientific and Statistical Database
Management (SSDBM), Santorini Island, Greece.
Retrieved from http://kepler-project.org
CDO 2 . (2008). CDOSheet for pricing and risk
analysis. Retrieved from www.cdo2.com
Chaubal, C. (2003). Sun Grid engine enterprise
edition—software configuration guidelines and
use cases . Sun Blueprints. www.sun.com/blue-
prints /0703/817-3179.pdf
Amazon Elastic Compute Cloud EC2. (2007).
Retrieved from www.amazon.com/ec2
Search WWH ::




Custom Search