Name
Abstract | ||
|---|---|---|
Grid computing essentially involves transparent access to distributed computing where computing resources are pooled and shared both within and among organizations. Grid computing is increasingly becoming a viable option for businesses looking for high-end computing requirements for relatively short periods of time. We analyze some economic decision criteria for a grid computing provider wishing to provide such a service to businesses. Given the large amount of uncertainty in prices and demand (which is demonstrated through Monte Carlo simulations) for such a service, a real options valuation technique is particularly suitable for such an exercise. We study the dynamics of grid computing from an economic perspective. Specifically, we consider a monopolist scenario providing two kinds of service, one of which might preempt the other. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.dss.2008.07.003 | Decision Support Systems |
Keywords | Field | DocType |
monte carlo simulation,grid computing,real options valuation technique,real option valuation,grid computing provider,large amount,computing resource,monopolist scenario,high-end computing requirement,economic decision criterion,economic perspective,distributed computing | Monte Carlo method,Grid computing,Multiple-criteria decision analysis,Real options valuation,Valuation of options,Computer science,Operations research,Utility computing,Grid | Journal |
Volume | Issue | ISSN |
46 | 1 | Decision Support Systems |
Citations | PageRank | References |
7 | 0.90 | 19 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juheng Zhang | 1 | 304 | 15.50 |
| Subhajyoti Bandyopadhyay | 2 | 524 | 35.12 |
| Selwyn Piramuthu | 3 | 986 | 90.82 |