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Despite all these limitations in SCSI, there is no doubt that it is a mature, reliable, and well-tested channel-based protocol As a result, SCSI is often mapped as a higher layer protocol on fibre channel (called FCP) Other I/O protocols such as serial storage architecture (SSA), Enterprise Systems Connection (ESCON), and high-performance parallel interface (HIPPI) can also be mapped on FC FC is capable of several peak transfer speeds It is 1 Gigabit per second (Gbps), 532 Megabits/second (Mbps), 266 Mbps, or 133 Mbps At 1 Gbps, FC has a theoretical peak throughput of 100 Megabytes per second (MB/sec) in each direction Most connections are duplex (that is, there are two cables one for transmitting and the other for receiving data), and each cable has a maximum throughput of 100 MB/second Several companies are developing specifications and products for FC speeds of 2, 4, and 10 Gbps.

FC was originally designed to support fiber-optic cables only Later, copper support was introduced and the spelling of the word fiber was changed to the French word, fibre This was done to reduce the association of the term with fiber optics SAN topologies can also be built using copper cables Since fiber optic cables are common, all examples in this book assume fiber as the media type It has better noise immunity, scalability, performance, and support for longer distances..

(12.12) (12.13) (12.14) (12.15) (12.16)

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Consider the relational design shown in Figure 10-3.

p(X, N, R)

Denial-of-service (DoS) attack Electrical interference Wireless interference Damaged nodes Damaged interface Dirty interface Con guration error Authentication issues Excessive utilization Excessive errors VLAN con guration error Class-of-service issue Quality-of-service issue

Now, in the Newton interferometer we are interested in measuring glasses where t is not constant and thus y is not constant either. Hence, to reduce the in uence of y, as much as possible, we should have ty2 l ; k 1:11

1 S Hawley and M Choptuik Boson stars driven to the brink of black hole formation Phys Rev D, 62:10(104024), 2000 2 J Ray, HN Najm, RB Milne, KD Devine, and S Kempka Triple ame structure and dynamics at the stabilization point of an unsteady lifted jet diffusion ame Proc Combust Inst, 25(1):219 226, 2000 3 M Berger and J Oliger Adaptive mesh re nement for hyperbolic partial differential equations J Comput Phys, 53:484 512, 1984 4 M Berger and P Colella Local adaptive mesh re nement for shock hydrodynamics J Comput Phys, 82:64 84, 1989 5 K Devine, E Boman, R Heaphy, B Hendrickson, and C Vaughan Zoltan data management services for parallel dynamic applications Comput Sci Eng, 4(2):90 97, 2002 6 SK Das, DJ Harvey, and R Biswas Parallel processing of adaptive meshes with load balancing IEEE Trans.

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subdued at dusk. The Hunt effect and Stevens effect (Section 6.7) describe these attributes of appearance. The Hunt effect obtains its name from a study on the effects of light and dark adaptation on color perception published by Hunt (1952). In that study, Hunt collected corresponding color data via haploscopic matching, in which each eye was adapted to different viewing conditions and matches were made between stimuli presented in each eye. Figure 6.9 shows a schematic representation of Hunt s results. The data points represent corresponding colors for various levels of adaptation. What these results show is that a stimulus of low colorimetric purity viewed at 10 000 cd/m2 is required to match a stimulus of high colorimetric purity viewed at 1 cd/m2. Stated more directly, as the luminance of a given color stimulus is increased, its perceived colorfulness also increases. The Hunt effect can be illustrated by viewing Figure 4.1 and imagining you are in the illuminated environment along with the rendered cubes. Notice that the sides of the cubes with more illumination falling on them appear more colorful. The Hunt effect can also be witnessed by taking a color image, such as Figure 4.1, and changing the level of illumination under which it is viewed. When the image is viewed under a low level of illumination the colorfulness of the various image elements will be quite low. If the image is then moved to a signi cantly brighter viewing environment (e.g., a viewing booth or bright sunlight), the image elements will appear signi cantly more colorful. The Hunt effect can be summarized by the statement that the colorfulness of a given stimulus increases with luminance level. This effect highlights the