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Perform a System Requirements Analysis (SRA) to understand WHAT the system is expected to do. Ask key questions such as: 1. Do the list of requirements appear to be generated as a feature-based wish list or re ect structured analysis 2. Do the requirements follow standard guidelines discussed later in Requirements Statement Development Practices 3. Do the requirements appear to have been written by a seasoned subject matter expert (SME) or semi-knowledgeable person 4. Do the requirements adequately capture User operational needs Are they necessary and suf cient 5. Do the requirements unnecessarily CONSTRAIN the range of viable solutions 6. Are all system interface requirements identi ed 7. Are there any TBDs remaining in the speci cation 8. Are there any critical operational or technical issues (COIs/CTIs) that require resolution or clari cation

1. Based on the requirements, as stated, can we draw a simple graphic of the system and its interactions with its OPERATING ENVIRONMENT 2. Are there any obvious holes in the graphic that are not speci ed as requirements in the speci cation

The GIDS has implemented a quadtree based on a minimum-bounding rectangle to index all spatial objects This is based on the regular recursive subdivision of blocks of spatial data into four equal-sized cells, or quadrants Cells are successively subdivided until some criterion is met, usually either that each cell contains homogeneous data, or that a preset number of decomposition iterations have been performed Thus, the cells of a quadtree are of a standard size (in powers of two) and are nonoverlapping in terms of actual representation This can be seen in Figure 175..

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Over the next few years, you can expect that many of the operating systems prevalent today will be modified or paravirtualized to be aware they are running in a virtual environment (just as an operating system would be modified to support any new hardware or firmware). These enlightened operating systems (to use Microsoft s term), will be able to take advantage of hooks within the hypervisor and hardware to improve performance of both the operating system and their applications running in a virtual environment.

1. Are there any misplaced, overlapping, duplicated, or con icting requirements 2. Are the requirements positioned and scoped at the right levels 3. Are there any holes in the set of requirements

Do the speci cation requirements indicate a willingness or unwillingness by the Acquirer to consider and accept new technologies or solutions

The Geospatial Information Distribution System (GIDS) 3 6 1

30

Blade system chassis, modules, and the blades themselves come in many different flavors. Choosing the right vendor, the right chassis, and the right blades requires a thorough assessment of your needs, as well as careful planning. This chapter offered a variety of questions to ask yourself and your potential vendors about various blade system options and how they address your unique environment and requirements. It also provided considerations and tips to help with your blade implementation. The next chapter, Power and Cooling, moves from hardware considerations to facilities and environmental factors chief among these are power and cooling. 13 offers an introduction to power and cooling issues, and offers suggestions for tackling these all-important matters.

Do the speci cation requirements favor or target a competitor s products, services, or organizational capabilities

If appropriate, is it worthwhile to develop models and simulations as decision aids to analyze system performance issues

This spatial indexing scheme is the key to the spatial data integration. All data are spatially indexed into a quadtree. Each database maintains its own quadtree, which allows independent spatial indexing of each common data set. A global spatial integration of all objects in the ODBMS is achieved by addressing all the quadtree instances in the ODBMS. This is how the AOI request is accomplished; the spatial integration enables users to find all information available at the specified AOI. In other words, if, for example, two different data sets from different sources provide information over at San Francisco, California, the GIDS would let the user know that there is information about San Francisco, California from two different data sets that are different in format and contents. This basically achieves the AOI-driven search capability in the GIDS.

1. Are there any requirements that are unreasonable, unveri able, or cost prohibitive using the veri cation methods speci ed 2. Does veri cation require any special test facilities, tools, equipment, or training

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