||Oracle Tips by Burleson
Chapter 2 Grid, Utility
Computing and Clusters
Data and Storage
At the same time, many grid software solution
vendors are designing some kind of unifying software, which controls
multiple data sources, and project a single data view for the
application or user access.
In the recent past, we have witnessed a rapid
growth in server-to-server and server-to-storage communication
capability. 10GbEthernet and Inifniband technologies are becoming
very common. With the availability of these high bandwidth and low
latency communication channels, huge data is moved across the
servers in the grid environment. Communication within the grid for
the purpose of sending jobs and data required for those jobs is now
faster. This facilitates the transfer of job execution to other
machines in the grid. Bandwidth is a critical resource for effective
communication and optimum functioning of grid.
Even though we talk of applications and
transactions, ultimately the application is executed in terms of
jobs and sub-jobs. As the application execution is split into
multiple jobs, those jobs can effectively be moved to different
processing centers in the grid. In the grid environment, processing
centers are the servers or processors. Thus, a grid application that
is designed or organized as a collection of jobs is quite suitable
for the grid environment. These jobs can suitably be scheduled and
executed within the grid and take advantage of multiple processing
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