Types of grid computing pdf

One approach to significantly slow down global warming is to drive our society away from the current fossil fuel fiesta and use only renewable power such as solar and wind energy. Another approach is to improve the management of energy production, transmission, types of grid computing pdf distribution. Part of the latter solution is on the supply side, where one possible solution is to develop continent-wide smart power grids and energy storage systems.

However, an equally important part of the solution is on the demand side, where technologies and applications that can work with this type of unpredictable energy consumption are becoming necessary. The smart power grid with new sources of data, fast growth of information, and proactive management requires new strategy for business and operational management. In this paper we discuss how Cloud computing model can be used for developing Smart Grid solutions. The Cloud computing model is based on the delivery of computing as a service, whereby storage, software and information are provided to computers and other devices as a commodity over the Internet. Smart Grid, such as energy savings, two-way communication, and demand resource management. Check if you have access through your login credentials or your institution. The data in a data grid can be located at a single site or multiple sites where each site can be its own administrative domain governed by a set of security restrictions as to who may access the data.

Specifically developed data grid middleware is what handles the integration between users and the data they request by controlling access while making it available as efficiently as possible. The diagram to the right depicts a high level view of a data grid. There is a number of concepts and tools that must be available to make a data grid operationally viable. However, at the same time not all data grids require the same capabilities and services because of differences in access requirements, security and location of resources in comparison to users.

When taken together, they are key to the data grids functional capabilities. When an LFN is requested or queried, all matching PFNs are returned to include possible replicas of the requested data. The end user can then choose from the returned results the most appropriate replica to use. The replica catalogue would contain information about LFNs that map to multiple replica PFNs.