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  Predicting Computing System Capacity and Throughput (feb-96)
 
 
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Business managers need trustworthy answers to questions such as, "My business is going to double. Can my current system handle the load?" and "Will the proposed technical architecture handle our production load?" Answering these types of capacity planning questions, with any respectable degree of confidence, is hard. However, the questions still must be answered and thats what this paper is all about.

Capacity planning questions ultimately center around deciding where to best concentrate ones effort to ensure a new or existing system will meet performance requirements. While quit surprising at first, capacity planning questions can be thought of in economic terms. It is extremely rare that an exact match of a proposed system can be prototyped. But does the prototyped system have to be an exact replica? And if not, how close does it need to be? The economic question then becomes one of directing limited resources in areas that require attention to ensure performance will meet the requirements.

Its much easier to talk about models and mathematics than it is to address the underlining business problems. Our aim in constructing this paper is to help folks begin to tackle complex capacity studies by not only addressing the overall project and technical issues, but by helping folks translate the technical information into meaningful business information.

To achieve our objectives, we first present an overall project plan followed by three proven types of capacity plans. We then drill down into how one approaches the project from a data gathering and modeling perspective. And finally, we end with how one addresses conflicting constraints.
 


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