Outcome Of Grid Computing. Each node of the grid environment executes different UCS and those nodes send local data mining models to the central site for developing a global model. Obtaining a common goal by the usage of distributed computers is termed as Grid Computing.
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The GRIDS Lab continues to be one of the leading and innovative research groups internationally in the area of Grid computing. By using this matrix you can determine which stakeholders to manage closely and which stakeholders to put minimum effort in. Grid computing has enabled the very fast production of results into hands of physics community.
Grid computing architecture is considered the best distributed framework for solving the distributed data mining task Luo Wang Hu.
Logical Outcome Grid computing is the logical -- and desirable -- outcome of several factors. By using this matrix you can determine which stakeholders to manage closely and which stakeholders to put minimum effort in. It is differentiated by its maximum efficiency from every other technology. Grid computing is in a centralized location and as a result if users are in a location with high latency talking to the grids location then the system is going to be unavoidably slow.
