[Article] Sample size calculation for multiple testing in by Jung S. H.

By Jung S. H.

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Part 2: Grid Computing Worldwide Initiatives 45 46 Part 2: Grid Computing Worldwide Initiatives Framework for Control and Observation in Distributed Environments (CODE) The CODE project provides a secure, scalable, and extensible framework for making observations on remote computer systems. It then transmits this observational data to where it is needed, performing actions on remote computer systems and analyzing observational data to determine what actions should be taken. Observational data is transmitted using a distributed event service.

A company doing financial modeling for a customer based on the data collected from various data sources, both internal and external to the company. This specific virtual organization customer may need a financial forecasting capability and advisory capability on their investment portfolio, which is based on actual historic and current real-time financial market data. , data access and integration provider). This dynamic, financially oriented, virtual organization can now reduce undesirable customer wait time, while increasing reliability on forecasting by using real-time data and financial modeling techniques.

In this context, the real problems involved with resource sharing are resource discovery, event correlation, authentication, authorization, and access mechanisms. These problems become proportionately more complicated when the Grid Computing solution is introduced as a solution for utility computing, where industrial applications and resources become available as sharable. The best example of this is in the IBM Corporation's Business On Demand resource implementations in Grid Computing. This commercial on-demand utility concept spanning across Grid Computing services has introduced a number of challenging problems to the already complicated grid problem domains.

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