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Database administrators can tune a database system at three levels The lowest level is at the hardware level Options for tuning systems at this level include adding disks or using a RAID system if disk I/O is a bottleneck, adding more memory if the disk buffer size is a bottleneck, or moving to a faster processor if CPU use is a bottleneck The second level consists of the database-system parameters, such as buffer size and checkpointing intervals The exact set of database-system parameters that can be tuned depends on the speci c database system Most database-system manuals provide information on what database-system parameters can be adjusted, and how you should choose values for the parameters Well-designed database systems perform as much tuning as possible automatically, freeing the user or database administrator from the burden For instance, in many database systems the buffer size is xed but tunable If the system automatically adjusts the buffer size by observing indicators such as page-fault rates, then the user will not have to worry about tuning the buffer size The third level is the highest level It includes the schema and transactions The administrator can tune the design of the schema, the indices that are created, and the transactions that are executed, to improve performance Tuning at this level is comparatively system independent The three levels of tuning interact with one another; we must consider them together when tuning a system For example, tuning at a higher level may result in the hardware bottleneck changing from the disk system to the CPU, or vice versa

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AIP-SSM-10

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Even in a well-designed transaction processing system, each transaction usually has to do at least a few I/O operations, if the data required by the transaction is on disk An important factor in tuning a transaction processing system is to make sure that the disk subsystem can handle the rate at which I/O operations are required For instance, disks today have an access time of about 10 milliseconds, and transfer times of 20 MB per second, which gives about 100 random access I/O operations of 1 KB each If each transaction requires just 2 I/O operations, a single disk would support at most 50 transactions per second The only way to support more transactions per second is to increase the number of disks If the system needs to support n transactions per second, each performing 2 I/O operations, data must be striped (or otherwise partitioned) across n/50 disks (ignoring skew) Notice here that the limiting factor is not the capacity of the disk, but the speed at which random data can be accessed (limited in turn by the speed at which the disk arm can move) The number of I/O operations per transaction can be reduced by storing more data in memory If all data are in memory, there will be no disk I/O except for writes Keeping frequently used data in memory reduces the number of disk I/Os, and is worth the extra cost of memory Keeping very infrequently used data in memory would be a waste, since memory is much more expensive than disk The question is, for a given amount of money available for spending on disks or memory, what is the best way to spend the money to achieve maximum number of

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PDF417 - Wikipedia
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The McGraw Hill Companies, 2001

Like the AIP-SSM cards, the CSC-SSM cards have their own CPU, RAM, flash drive, and operating system The Anti-X Capabilities section previously introduced the capabilities of these cards This section will focus primarily on the two different cards that you can purchase The cards come with one of two licenses: Base and Plus The Base license supports antivirus, antispyware, and file blocking The Plus license adds these features to the Base license: antispam, antiphishing, URL blocking and filtering, and content control When you purchase one of these cards, it includes a one-year subscription for updates; after that period, you must purchase an extension to your license to continue receiving updates for viruses, spyware, and so on Table 1-5 compares the two cards

Number and revenue of existing customers Number and revenue of potential new customers Amount of available selling time Extent of customer needs Customer accessibility: travel distance, sales access time

transactions per second A reduction of 1 I/O per second saves (price per disk drive) / (access per second per disk) Thus, if a particular page is accessed n times per second, the saving due to keeping it in memory is n times the above value Storing a page in memory costs (price per MB of memory) / (pages per MB of memory) Thus, the break-even point is n price per MB of memory price per disk drive = access per second per disk pages per MB of memory

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