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The concurrency-control schemes discussed thus far ensure serializability by either delaying an operation or aborting the transaction that issued the operation For example, a read operation may be delayed because the appropriate value has not been written yet; or it may be rejected (that is, the issuing transaction must be aborted) because the value that it was supposed to read has already been overwritten These dif culties could be avoided if old copies of each data item were kept in a system In multiversion concurrency control schemes, each write(Q) operation creates a new version of Q When a transaction issues a read(Q) operation, the concurrencycontrol manager selects one of the versions of Q to be read The concurrency-control scheme must ensure that the version to be read is selected in a manner that ensures

Network Address Translation (NAT) accomplishes two things: securing the IP address structure of your internal network, and eliminating the need to purchase or lease blocks of IP addresses NAT translates internal addresses (possibly illegal) to legal addresses for transport over a public network infrastructure such as the Internet All external recipients of data see the NAT address rather than the real internal IP address assigned to your machine

The McGraw Hill Companies, 2001

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table The foreign k e y should allow null values because the m i n i m u m cardinality o f the Of fering entity type in the relationship is optional (0) However, null values can lead to compli cations in evaluating the query results To avoid null values w h e n converting an optional 1 -M relationship, y o u can apply Rule 5 to convert an optional 1-M relationship into a table instead o f a foreign key Figure 624 shows an application o f Rule 5 to the E R D in Figure 623 The Teaches table contains the for eign keys OfferNo and FacSSN with null values not allowed for both columns In addition, the Offering table n o longer has a foreign key referring to the Faculty table Figures 625

serializability It is also crucial, for performance reasons, that a transaction be able to determine easily and quickly which version of the data item should be read

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Cisco IOS data compression is used to compress packets at one end of the WAN segment and decompress at the other end This technology supports efficient use of expensive WAN bandwidth Cisco supports several compression technologies including Hi/fn Stac LZS, Predictor, and Microsoft Point-to-Point Compression (MPPC) Both ends of the compression transaction must support the same algorithms In addition, compression requires valuable processor cycles in the router that can slow down performance and cause network latency It is important to make sure compression is appropriate and to provide optimization

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