An original compute time pricing model is presented based on historical data harvested from previous agreements. While calculated resource indexes are based in most part on speculative trends, they are nevertheless fully relevant in the context of an emerging Grid Economy where consumers and producers have very little insight on the market’s behavior. Resource indexes are computed using a gaussian distribution averaging algorithm with correlated values in regards to execution and deal time. From these resource indexes are calculated predicted time-slot pricing, a valuable estimate that can be used for brokering decisions in a wider perspective.

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