Elasticity in the cloud
By David Chiu, March 2010
By David Chiu, March 2010
Computers continue to get faster exponentially, but the computational demands of science are growing even faster. Extreme requirements arise in at least three areas.
By David P. Anderson, March 2010
Despite its promise, most cloud computing innovations have been almost exclusively driven by a few industry leaders, such as Google, Amazon, Yahoo!, Microsoft, and IBM. The involvement of a wider research community, both in academia and industrial labs, has so far been patchy without a clear agenda. In our opinion, the limited participation stems from the prevalent view that clouds are mostly an engineering and business-oriented phenomenon based on stitching together existing technologies and tools.
By Ymir Vigfusson, Gregory Chockler, March 2010
In recent years, empirical science has been evolving from physical experimentation to computation-based research. In astronomy, researchers seldom spend time at a telescope, but instead access the large number of image databases that are created and curated by the community [42]. In bioinformatics, data repositories hosted by entities such as the National Institutes of Health [29] provide the data gathered by Genome-Wide Association Studies and enable researchers to link particular genotypes to a variety of diseases.
By Gideon Juve, Ewa Deelman, March 2010
By Bryan Stroubeé, May 2006
By William Stevenson, October 2005
By Eric J. Shamow, December 2002
By Zoran Constantinescu, Pavel Petrovic, December 2002
By Parveen Patel, December 2002
By Richard Stallman, June 2002
By Bryan Stroube, June 2002
By Stuart Patterson, June 2000
By Mike Maxim, June 2000
By Kevin Fu, September 1999
By Kevin Fu, September 1999
By Michael Stricklen, Bob Cummings, Brandon Bonner, September 1999
By Wei-Mei Shyr, Brian Borowski, September 1999
By Forrest Hoffman, William Hargrove, September 1999
By Per Andersen, September 1999
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By Bradley M. Kuhn, February 1995
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By Ronald B. Krisko, February 1995