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Backup Frequency and Retention The type of backup strategy an organization employs is often affected by how frequently the organization conducts the backup activity The usefulness of a backup is directly related to how many changes have occurred since the backup was created, and this is obviously affected by how often backups are created The longer it has been since the backup was created, the more changes will likely have occurred There is no easy answer, however, to how frequently an organization should perform backups Every organization should consider how long it can survive without current data from which to operate It can then determine how long it will take to restore from backups using various methods, and decide how frequently backups need to occur This sounds simple, but it is a serious, complex decision to make Related to the frequency question is the issue of how long backups should be maintained Is it sufficient to maintain a single backup from which to restore data Security professionals will tell you no; multiple backups should be maintained for a variety of reasons If the reason for restoring from the backup is the discovery of an intruder in the system, it is important to restore the system to its pre-intrusion state If the intruder has been in the system for several months before being discovered, and backups are taken weekly, it will not be possible to restore to a pre-intrusion state if only one backup is maintained This would mean that all data and system files would be suspect and may not be reliable If multiple backups were maintained, at various intervals, it is easier to return to a point before the intrusion (or before the security or operational event that is necessitating the restoration) occurred Several strategies or approaches to backup retention include the common and easyto-remember rule of three, in which the three most recent backups are kept When a new backup is created, the oldest backup is overwritten Another strategy is to keep the most recent copy of backups for various time intervals For example, you might keep the latest daily, weekly, monthly, quarterly, and yearly backups Note that in certain environments, regulatory issues may prescribe a specific frequency and retention period, so it is important to know these requirements when determining how often you will create a backup and how long you will keep it If you are not in an environment for which regulatory issues dictate the frequency and retention for backups, your goal will be to optimize the frequency In determining the optimal backup frequency, two major costs need to be considered: the cost of the backup strategy you choose and the cost of recovery if you do not implement this backup strategy (if no backups were created) You must also factor into the equation the probability that the backup will be needed on any given day The two figures to consider then are (probability the backup is needed) (cost of restoring with no backup) (probability the backup isn t needed) (cost of the backup strategy) For example, if the probability of a backup being needed is 10 percent, and the cost of restoring with no backup is $100,000, then the first equation would yield a figure of $10,000 This can be compared with the alternative which would be a 90 percent chance the backup is not needed multiplied by the cost of implementing our backup strategy.

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There are queries involving universal quanti cation which cannot be reasonably transformed into existential form Such cases occur when a condition has to hold for all members of a group, and that condition is to be computed within the group An example is a query to locate suppliers capable of manufacturing subassemblies using only their own parts, formulated later using the relational algebra in Examples 9-12 and 9-13 Requests of this form can generate a collection of tuples which describe subsets of a relation, and hence provide a link to the hierarchical presentation of data The composition of statements with quanti cation can become quite di cult, and expressions with universal quanti cation are avoided in most current systems Some uses for universal quanti cation are satis ed by the GROUP BY statement Programmed access may be used to collect the required information and perform further analysis on the retrieved data, including the checking for some condition over all instances in a subgroup

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Latency is another important QoS parameter It refers to the delay associated with the delivery of media stream data between two points in the switching fabric A propagation delay of more that 200 milliseconds is generally considered unacceptable for a voice call Figure 8-4 illustrates the concept of latency as the sum of all the individual delays in the transmission of media stream data

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9-2-4 Management of the Database In order to use SQL, a database has to be designed and described in a schema, space for the database has to be acquired, and access structures have to be speci ed to satisfy performance demands We only list some of the relevant commands Usage of SQL/DS beyond simple on-line retrieval and update requires knowledge of these statements SQL includes, of course, the commands to de ne the schema: CREATE TABLE, DROP TABLE, and ALTER TABLE You can CREATE INDEX or DROP INDEX To manage external views use CREATE VIEW with subschema de nition commands as shown in Example 8-11 or DROP VIEW All these can be issued at any time, and SQL/DS will recompile or rebind any routines which have been invalidated Repeated use of a sequence of SQL statements is made possible by collecting the statements themselves into a TABLE for recall and reuse To manage an interactive session, some additional commands are available; they are shown in Table 9-3

Table 9-3

Latency for a given path through a switching fabric is the sum of the three types of delay that may be present in a given implementation: Propagation delay Propagation delay refers to the delay associated with the propagation of the signal over the transmission facility used to implement the media stream channel Generally speaking,

identify and assign the privileges available to the user; disconnects a prior user COMMIT WORK indicate the end of a logical transaction ROLLBACK WORK remove all changes made since the last COMMIT or CONNECT

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