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3.2 AN ATM SHAPING MULTIPLEXER Cell streams that have been individually shaped according to the GCRA may fail to conform to their traffic descriptors after being multiplexed to an output stream to the network. This is because contention among different connections to the upstream may disturb their shaped traffic patterns. Thus, it is important to perform traffic shaping after multiplexing, in what is called an ATM shaping multiplexer. This section points out several challenging issues in designing an ATM traffic shaper that can support a large number of virtual connections VCs. and ensures that every VC strictly complies with the traffic descriptor w17, 18x. The rest of this section is organized as follows. Section 3.2.1 presents the regularity condition dual leaky bucket. Section 3.2.1 describes a so-called departure-event-driven traffic-shaping algorithm DEDTS. to strictly enforce each connection to comply with its traffic descriptor at the multiplexed output stream. Section 3.2.3 shows an implementation architecture for the ATM shaping multiplexer that performs the DEDTS algorithm and can be implemented to accommodate any number of VCs by using off-the-shelf components. Section 3.2.4 describes the finite bits overflow problem. Section 3.2.5 presents the performance study for two different shaping algorithms

Reconstructed image from a compressed image le The reconstructed image (or image set) from a compressed image le is a two-dimensional rectangular array fc (x, y), a 3-D data block fc (x, y, z), or a 4-D fc (x, y, z, t) image set The technique used for the reconstruction (or decoding) depends on the method of compression (encoding) In the case of error-free (or reversible, or lossless) compression, the reconstructed image is identical to the original image, whereas in irreversible or lossy image compression, the reconstructed image loses some information of the original image The term reconstructed image, which is obtained from a compressed image le, should not be confused with the term image reconstruction, which is obtained from projections used in computed tomography as described in 4 Thus the reconstructed image in this chapter means that the image is reconstructed from a compressed le Encoding and decoding.

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Python Object Integer Integer Integer Integer floating-point floating-point Complex 1 character string string string or buffer string or None string, buffer, or None string, Unicode, or buffer string, Unicode, or buffer String any object any object any object read-only char buffer read-write char buffer read-write char buffer Unicode object Unicode object Unicode string

DWDMs are usually linked in a manner that avoids any path from being an SPOF, as illustrated in Figure 23-7. If the path between DWDM 2 and DWDM 3 fails, data traffic can still get from Site B to Site C using the alternate path (from DWDM 2 to DWDM 1 to DWDM 3). This redundancy protects against any disruption that can happen in geographical areas outside an organization s control. One of the SAN sites can serve as a disaster-recovery site for the other two. If A and B are primary sites, Site C can act as a hot standby. Data from Site A and B can be mirrored synchronously to C. If either Site A or B goes down, applications from the failed site automatically start up on servers in Site C. This capability is configured using clustering software.

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