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We certainly understand that product improvements are being made all the time and that what is true about performance as we write this material may or may not be true when you read it. Therefore, we once again urge our readers to carefully evaluate the performance of any replication solution that you may be considering, and that you run relevant benchmarks to determine which solution will balance the best data protection with the least impact on application and system performance.

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OCR technology reads “scanned” printed documents and images, recognizes them and then translates the figures and characters into an electronic file.

When you boil it down to its base components, filesystem-based replication is much like tape backup: a point-in-time copy of the files in a filesystem.

Eric T. Peterson of Web Analytics Demysti ed is a web analytics thought leader of the rst order. He was one of the rst to tap the Twitter API and created Twitalyzer (Figure 3.7). Twitalyzer looks at each ve dimensions of each Twitter account: In uence, Signal, Generosity, Velocity, and Clout. In uence is a culmination of some of the others, so we ll circle back to that one.

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Comparison of optical character recognition software - Wikipedia
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Hardware- and software-based replication, tape backups, and database products include fancy vendor-based tools, while filesystem-based replication tools are generally utilities that are included as part of the operating system It is rare, though not unheard of, for filesystem-based replication to be used as a solution for DR By its nature, filesystem-based replication is very similar to the periodic style of replication we discussed in the previous section: From time to time, the contents of a filesystem (or just the changes since last time) are collected and sent to the destination site Filesystem replication is best used, then, to make a copy of a filesystem whose contents don t change very often, or perhaps to make a one-time copy If contents change regularly, it is best to consider another method, such as hardware- or software-based replication.

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The counting in Eq. (20.15) relates to the notion of dimension: if f 1 then all or at least a considerable part of the n are approximately equal to , that is, k fn ; 9 2n . Such is the case for FGN with H; but we also have f 1 if only a certain constant fraction of the n values equals , as is the case with the concatenation of FGNs described earlier [36]. Only if certain values of n are considerably more spurious than others will we observe f < 1. In fact, it can be shown [28, 29] that the rate function f relates to dim K and that we have dim K f : 20:16

One excellent use of filesystem replication occurs when you have enough developers to outstrip the capacity of a single server, and the users are demanding multiple servers worth of development tools, library files, and manual pages Multiple servers provide a basic level of redundancy against the failure of any one server and can remove performance bottlenecks by distributing the client load over several servers Replicated read-only file servers can also be dropped in behind web servers, providing load balancing across multiple sources for the same content with the same measure of availability and performance To be fair, though, this technique of replicating among colocated servers is falling into disuse as SANs are able to fill that niche without requiring separate copies of the data on each server SANs can be configured to protect the data against most types of outages; for more on SANs, see 8, SAN, NAS, and Virtualization.

It is in this sense that f provides information on the occurrence of the various ``fractal'' exponents and has been termed multifractal spectrum. Also, note that the rate function f is a random element because it is de ned for every path of Y . Although f can, in principle, be computed in practice, it is a very delicate and highly sensitive object, mainly because of its de nition in terms of a double limit (see Eq. (20.14)). Fortunately, the LDP result suggests using the RHS of Eq. (20.13), with E 2qW replaced by E 2qVn 1=n as in Eq. (20.12), as an alternative method for estimating f that avoids double-limit operations and is generally more robust because it involves averages. In fact, consider the partition function q de ned by 1 1 q : lim log2 2n Et 2qVn lim log2 Sn q ; n3I n3I n n where the structure function Sn q is given by Sn q :

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