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Due to the different evolutions in science and engineering, problems in computation fields are becoming complicated. In-order to solve these problems, the authors needs to combine and use the computer resources scattered around the world. Hence they use the concept of Grid computing. Grid computing is a way to aggregate the geographically distributed and heterogeneous resources that belongs to different domains. Information aggregation is a method for reducing the information being exchanged between Grid networks. Resource manager takes the scheduling decisions by using this aggregated information. Aggregated information is kept across each node and the detailed information is kept private, but the resources are available publicly for use. This paper does a comparative study for some of the information aggregation techniques used in different networks.
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