Abstract
Portals to computational/data grids provide the scientific community with a friendly environment in order to solve large-scale computational problems. The Grid Resource Broker (GRB) is a grid portal that allows trusted users to create and handle computational/data grids on the fly exploiting a simple and friendly web-based GUI. GRB provides location-transparent secure access to Globus services, automatic discovery of resources matching the user's criteria, selection and scheduling on behalf of the user. Moreover, users are not required to learn Globus and they do not need to write specialized code or to rewrite their existing legacy codes. We describe GRB architecture, its components and current GRB features addressing the main differences between our approach and related work in the area.
Highlights
Grid computing [1] is regarded as one of the most promising approach to solve large-scale computational science problems
There are no restrictions about what systems/sites could be served by Grid Resource Broker (GRB), because of the way user profiles are handled
We showed its components and three-tier architectural model, and discussed its current features, highlighting GRB usefulness for users who do not want to learn how to use Globus for their grid computing needs
Summary
Grid computing [1] is regarded as one of the most promising approach to solve large-scale computational science problems. Grids can be thought of as a mixture of software and hardware infrastructure whose aim is to provide a coherent, unified view of geographically spread computing resources, smart instruments and distributed data archives. This seamless integration will enable users to share their resources and to build new classes of applications based on resource pooling and selection. We shall concentrate on the use of the Globus Toolkit and the Web to provide users with a secure, fast and reliable access to computational grids.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
