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is full On recovery from a system crash, any pending buffered writes in the nonvolatile RAM are written back to the disk An example illustrates how much nonvolatile RAM improves performance Assume that write requests are received in a random fashion, with the disk being busy on average 90 percent of the time1 If we have a nonvolatile RAM buffer of 50 blocks, then, on average, only once per minute will a write nd the buffer to be full (and therefore have to wait for a disk write to nish) Doubling the buffer to 100 blocks results in approximately only one write per hour nding the buffer to be full Thus, in most cases, disk writes can be executed without the database system waiting for a seek or rotational latency Log disk Another approach to reducing write latencies is to use a log disk that is, a disk devoted to writing a sequential log in much the same way as a nonvolatile RAM buffer All access to the log disk is sequential, essentially eliminating seek time, and several consecutive blocks can be written at once, making writes to the log disk several times faster than random writes As before, the data have to be written to their actual location on disk as well, but the log disk can do the write later, without the database system having to wait for the write to complete Furthermore, the log disk can reorder the writes to minimize disk arm movement If the system crashes before some writes to the actual disk location have completed, when the system comes back up it reads the log disk to nd those writes that had not been completed, and carries them out then File systems that support log disks as above are called journaling le systems Journaling le systems can be implemented even without a separate log disk, keeping data and the log on the same disk Doing so reduces the monetary cost, at the expense of lower performance The log-based le system is an extreme version of the log-disk approach Data are not written back to their original destination on disk; instead, the le system keeps track of where in the log disk the blocks were written most recently, and retrieves them from that location The log disk itself is compacted periodically, so that old writes that have subsequently been overwritten can be removed This approach improves write performance, but generates a high degree of fragmentation for les that are updated often As we noted earlier, such fragmentation increases seek time for sequential reading of les.

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The data storage requirements of some applications (in particular Web, database, and multimedia data applications) have been growing so fast that a large number of disks are needed to store data for such applications, even though disk drive capacities have been growing very fast

1 For the statistically inclined reader, we assume Poisson distribution of arrivals The exact arrival rate and rate of service are not needed since the disk utilization provides enough information for our calculations

Line password protection Username authentication CHAP (Challenge Handshake Authentication Protocol) or PAP (Password Authentication Protocol) authentication TACACS+ and Extended TACACS+ password protection

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CustNo C0954327 C1010398 C2388597 C3340959 C3499503 C8543321 C8574932 C8654390 C9128574 C9403348 C9432910 C9543029 C9549302 C9857432 C9865874 C9943201 CustFirstName Sheri Jim Beth Betty Bob Ron Wally Candy Jerry Mike Larry Sharon Todd Homer Mary Harry CustLastName Gordon Glussman Taylor Wise Mann Thompson Jones Kendall Wyatt Boren Styles Johnson Hayes Wells Hill Sanders CustStreet 336 Hill St 1432 E Ravenna 2396 Rafter Rd 4334 153rd NW 1190 Lorraine Cir 789 122nd St 411 Webber Ave 456 Pine St 16212 123rd Ct 642 Crest Ave 9825 S Crest Lane 1223 Meyer Way 1400 NW 88th 123 Main St 206 McCaffrey 1280 S Hill Rd CustCity Littleton Denver Seattle Seattle Monroe Renton Seattle Seattle Denver Englewood Bellevue Fife Lynnwood Seattle Littleton Fife CustState CO CO WA WA WA WA WA WA CO CO WA WA WA WA CO WA CustZip 80129-5543 80111-0033 98103-1121 98178-3311 98013-1095 98666-1289 98105-1093 98105-3345 80222-0022 80113-5431 98104-2211 98222-1123 98036-2244 98105-4322 80129-5543 98222-2258 CustBal $23000 $20000 $50000 $20000 $000 $8500 $1,50000 $5000 $10000 $000 $25000 $85600 $000 $50000 $15000 $1,00000

The McGraw Hill Companies, 2001

Having a large number of disks in a system presents opportunities for improving the rate at which data can be read or written, if the disks are operated in parallel Parallelism can also be used to perform several independent reads or writes in parallel Furthermore, this setup offers the potential for improving the reliability of data storage, because redundant information can be stored on multiple disks Thus, failure of one disk does not lead to loss of data A variety of disk-organization techniques, collectively called redundant arrays of independent disks (RAID), have been proposed to achieve improved performance and reliability In the past, system designers viewed storage systems composed of several small cheap disks as a cost-effective alternative to using large, expensive disks; the cost per megabyte of the smaller disks was less than that of larger disks In fact, the I in RAID, which now stands for independent, originally stood for inexpensive Today, however, all disks are physically small, and larger-capacity disks actually have a lower cost per megabyte RAID systems are used for their higher reliability and higher performance rate, rather than for economic reasons

Within the several types of authentication methods are submethods Figure 16-2 lists five AAA authentication methods and their submethods A combination of submethods make up what is called a method list (you'd think it would be called a submethod list, but it's not)

The McGraw Hill Companies, 2001

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