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segment written to a separate disk. Because each disk can complete the smaller writes at the same time, write performance is improved over writes to a single disk. Performance can be enhanced further by striping the writes between separate controllers too. The size of each segment is called the stripe width. In general, the optimal size of a stripe width is the average size of a disk write, divided by the number of disks in the stripe. However, if the disk array has its own cache, the rules may change. The first and most important thing to know about RAID-0 is that, unlike all the other levels of RAID, RAID-0 does not increase your system or data availability. In fact, when used by itself, RAID-0 decreases availability. In order for a stripe set to function, all of its member disks must be available. If any disk in a stripe fails, the entire stripe fails and cannot be read or written. Consider a 2GB filesystem, and disks with a 200,000-hour MTBF. If the filesystem lives on a single 2GB disk, the MTBF in is simply 200,000 hours. If the filesystem is striped across four disks, with 500MB of data on each disk, the MTBF is reduced significantly due to the increased probability that at least one of the disks will fail. Because RAID-0 adds no redundancy, it does not require any additional disk space. Please note that when we use the term RAID throughout the book as a generalized way of adding disk redundancy, we are specifically excluding RAID-0 from that discussion, since RAID-0 reduces overall system availability and all other levels increase it.



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Convert scans, images and PDF to Excel / Word / searchable PDF / Audio files / eBook / etc; Worldwide OCR ( Optical Character Recognition ) solution with 137 ...

The central problem of source modeling is to choose how to represent data traces by statistical models. A source model is sought for a purpose, which is usually as an input process to a performance model. We think that a source model is acceptable if it ``adequately'' describes the trace in the performance model at hand. By adequate we mean that when the source model is used in the performance model, the values of the operating characteristics of interest produced are ``close enough'' to the value produced by the trace. The de nition of close enough may depend on the use to which the performance model will be put. For example, long-range network





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RAID-1, or mirroring, is a model where a copy of every byte on a disk is kept on a second disk. The copy is (normally) 100 percent in sync. In this model, if one disk fails, the other disk continues to operate without interruption. A common misconception of RAID-1 is that a master/slave relationship exists between the disks, and if one disk fails, the other takes over. This is not the case: Both copies in a mirror act as peers. A better way to think about this relationship is to imagine a logical disk that sits on top of the mirrored copies and sends all read and write requests to both disks at the same time. If a disk fails, the logical layer is not affected; it continues reading and writing to the surviving disk. Reads are usually requested of both underlying copies, and the logical layer returns the data that comes from the first physical disk to reply, resulting in a slight improvement in performance under RAID-1. In fact, mirrors are not limited to two copies. Many shops will keep three or four mirrors of their data, and split one off from time to time for backups, or to provide production-like data to their development, quality assurance, or disaster recovery environments.

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There are several OCR (Optical Character Recognition) software solutions available to convert scanned images to text, Word, Excel, HTML or searchable PDF. The differences between them can often be obscure, leaving many to wonder why some OCR software cost about $100 while others cost $500 or more. Languages · Brands · Applications

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planning typically requires less accuracy for delay statistics and loss rates than equipment engineering does. We don't regard good source models for a given trace to be unique. Different purposes may best be served by different models. For example, the DAR and GBAR models described in Sections 12.2.2 and 12.2.3 are designed for different purposes. A consequence of our emphasis on testing source models by how well they emulate the behavior of the trace they model in a performance model is that the con dence intervals we emphasize are on the operating characteristics of the performance models. 12.1.3 Outine

Another, slightly less common misconception about mirroring is that if your disks are mirrored, you don t need to take backups This is not true Mirrors will protect your users from hardware failure, but they will not protect you from the careless or malicious deletion or corruption of critical data All mirrored copies will be affected by the deletion Point-in-time copies or checkpoints, however, will protect your users from such a deletion; we discuss those later in this chapter Besides the minor performance improvement, the main advantage of RAID-1 is data protection when the inevitable failure of a disk occurs If a disk fails in a RAID-1 configuration, users and applications will continue to receive their data, with no interruption in service RAID-1 has disadvantages as well The primary disadvantage is in the added expense Each mirror requires 100 percent disk overhead It takes an additional 10GB to mirror 10GB.

We divide VBR video into two classes, video conferences and entertainment video. Section 12.2 contains two models for video conferences, and Section 12.3 contains a model for entertainment video. The models are vetted by comparing the performance measures they induce in a simulation to the performance measures induced by data traces. All of these models are Markov chains, so they are short-range dependent (SRD). Hurst parameter estimates for the time series these models describe indicate the presence of long-range dependence. The reasons that short-range dependent models can provide good models for time series that exhibit long-range dependence are given in detail in Section 1.4. Our results are summarized in the last section. 12.2 VIDEO CONFERENCES

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5 Best OCR Software For Big Documents - 2018 | TechWiser
30 Nov 2017 ... 5 Best OCR Software For Big Documents – 2018 . OneNote. OneNote is not just a note taking and organizing app. Google Docs. Google Docs is a very popular and free service that allows you to quickly create Word documents, Excel sheets, Presentations, etc. ABBYY FineReader. Boxoft Free OCR . Readiris Pro.

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