The goal of Grid Computing is to bring about seamless and unified access to geographically distributed resources via the Internet. These distributed resources are used to help scientists and engineers perform research and solve important problems such as the so called “grand challenge problems.” The distributed resources that make up the Grid environment are loosely coupled to form a virtual machine. Each piece of the virtual machine is independently managed by its own local authority instead of being centrally controlled. The Grid environment provides a mechanism such that once the user specifies his resource requirements, the virtual computing machine automatically allocates the most appropriate physical computing site(s) to execute the application.

The NCHC’s Grid development team has developed several Grid Widgets that allow for seamless and scalable access to Grid resources. Grid Widgets can be freely customized and configured by the end user and they provide a lightweight and flexible approach for users to acquire Grid services from geographically distributed Grid resources.

Grid Widgets combine the Grid, WebOS, and automatic resource selection mechanisms to build a virtual computer within the distributed environment. The automatic resource selection mechanism provides adaptive resource allocation and dynamic loading prediction to improve the performance of dynamic scheduling. Also, Grid Widgets utilize Java-PHP Bridge technology to improve the response/communication time of Grid services. 

  Contact Information:

     Computational Grid        Ms. Serena Pan       (03) 5776085 # 312         serenapan@nchc.org.tw
     DataGrid                       Mr. Jazz Wang         (03) 5776085 # 276         jazz@nchc.org.tw

  More Inofrmation: 

  Computational Grid 
  Green Computing
  Cloud Computing