Grid computing, for both processing and data, has attracted great interest for its potential ability to increase the value of existing and future infrastructure. This increase in value has two main axes, greater efficiency and greater flexibility. We will present a theoretical basis for Grid computing value and describe the difference between what is theoretically present and what can be practically attained. As might be expected full value realization requires changes in how resources are managed and appropriate tools.
BIO:
Chris Kenyon is a Research Staff Member at IBM Zurich Research Laboratory. He has a MCSE in Operations Research from Univ. of Texas at Austin and a Ph.D. from Cambridge University. He has experience in commodity markets and price dynamics for both conventional commodities (e.g. oil) and also with more recent developments (e.g. bandwidth) as well as pricing of non-traded assets relative to market prices (real options). Current research concentrates on Internet economics especially Grid Economics. He is a member of INFORMS, IEEE, and BFS.