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| | Grid Computing |  |
| Grid computing is a new software architecture designed to effectively pool together large amounts of low cost modular storage and servers to create a virtual computing resource across |
which work can be transparently distributed to use capacity very efficiently, at low cost, and with very high availability.
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The resources in a grid can include storage, servers, databases, application servers, and applications. By pooling resources together, Grid Computing can offer dependable, consistent, pervasive, and inexpensive access to these resources regardless of their location and when needed, thereby fulfilling the need for computing capacity on-demand.
While Grid Computing in science is used in order to realize wasteful research projects in a technical and cost efficient manner, the benefits for enterprises are the optimized use and extent of utilisation of its IT infrastructures. In most enterprises the utilization ratio of servers today is only at about 20 to 40 percent.
With the via grid computing generated logical IT resources the given capacities could be used optimally as well as the workload could be separated transparent and high available.
The rapid evolution of cost-effective networked storage; high speed, high density blade servers; high speed network Interconnects; and low cost operating systems together with the evolving capabilities of Middleware software (databases and Application Servers) to exploit these advances, have now made it possible for Enterprises to leverage the benefits of Grid Computing.
The Grid Theme within openSEAS is covered by the Middleware stack of our strategic Partner Oracle. Oracle offers a comprehensive solution to manage information and run Enterprise Applications on Grids using Oracle Database 10g and Oracle Application Server 10g. Both can be managed in a Grid Computing environment using Oracle Grid Control. Together these products address the challenges faced by IT organizations today:- Radically Reduce or Eliminate Excess Computing Capacity
by automatically load balancing workloads to use spare capacity efficiently eliminating "islands of computation"
- Modular, Inexpensive Capacity Growth
by adding capacity on-demand in low cost modular units
- Radically Lower Cost of Management
by centralizing administration of the resources in a Grid and automating provisioning and administration tasks across these resources
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