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Blade vendors will be looking to their memory suppliers for larger amounts of memory to keep these multicore processors fed with data. The memory market, for quite a few years, has been driven only by economics, with everdecreasing costs for memory. As power and cooling (and the costs for that energy) increase, it will be interesting to see how memory vendors respond to these new demands for balanced performance per watt. Over the next few years, watch for a transition from DDR2 (Double Data Rate 2) memory to the next generation, DDR3. How that transition will take place and exactly what it will look like are not yet clear.

15

Every system must provide a physical, psychological, sociological, nancial, and economic value-added utility to its User System utility includes ease of use, usefulness, etc (continued).

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As the understanding of the entity s opportunity/problem and solution spaces evolves and matures, the next step is to Develop the Requirements Domain Solution. The requirements, which specify and bound the entity s solution space, document the Acquirer s (role) required system capabilities via Statement of Objectives (SOO) or System Performance Speci cation (SPS). Within the System Developer s program, lower level PRODUCT, SUBSYSTEM, ASSEMBLY, or SUBASSEMBLY item development speci cation (IDS), as applicable, capture the entity s requirements. As illustrated by the SE Process Model in Figure 26.1, the entity s Requirements Domain Solution: 1. Serves as the frame of reference for deriving the Operations, Behavioral, and Physical Domain Solutions. 2. Iterates with understand the opportunity/problem and solution spaces. 3. Iterates with the Operations, Behavioral, and Physical Domain Solutions.

26

Overall, the wide variety of projects that make use of object database technology reflects the rapid development of object database systems and biological applications. Many of these projects are experimental, but the fact that ACeDB has been so widely accepted as a repository manager for genomic data demonstrates that object databases can play an important role in bioinformatics applications. The next sections provide examples of how genomic information can be managed using the facilities of the ODMG model.

With CPU bandwidths and memory sizes increasing, attention also must be paid to data paths. For example, AMD plans to double data-path bandwidth over the next few years. In addition, blades and virtualization are creating a shared disk environment that was never designed to be shared. This will force a change in the way both operating systems and the hypervisors handle disk I/O (for example, a change in protocols and drivers to allow disk to be shared nicely), as well as the way storage vendors build their disk subsystems. Enhancements in virtualized I/O will continue to improve the way blade systems share common components. Watch for changes in PCI Express as well. There is no doubt that the combination of blades and virtualization technologies will stress all the system components as well as the management capabilities. In the past when this has happened, technological breakthroughs have been found. It will be exciting to watch as server virtualization consolidates workloads and increases utilization, while processors, memory, and I/O race to keep up.

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