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Ensure that you have installed the Readiris Pro OCR software on the computer that is attached to the HP scanner. If you have not installed the software , insert ...

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So how does having a redundant, live copy of the database allow for predictable failover times The trick is moving the point of control from the system administration domain, where systems monitor each other for failure or signs of failure, to the application domain, where the application itself or the transaction processing monitor drives recovery via a timeout or dead man timer.3 Let s say you want less than 10 seconds of downtime for any transaction. After submitting the transaction, set a timer for 8 seconds; if the timer expires, then you can forcibly abort the transaction, apply it to the secondary system only, and proactively declare the primary system dead. Of course, you may want your application to begin queuing updates for the primary, or to note that the primary fell behind at a certain time so that it can be recovered later. Many TPM systems allow dead man timers to be set by the resource manager coordinating the transactions, proactively alerting applications if the entire set of updates cannot be performed within the desired time window. What do you do if you can t trade off insert and update performance for fast failover times Look for an intermediate solution that guarantees transactional integrity but allows for asynchronous updates to the replica systems. So-called asynchronous, or reliable, queuing mixes the best of the TPM and log replication models.



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To see that the latter model has the desired large-time and small-time scaling properties and hence is in agreement with the observed additive and multiplicative properties of actual network traf c, we keep (2) and (3) as is, but note that the selfsimilar scaling property for the aggregate TCP connection traf c rate can be accomplished by relying on the underlying session structure of the original Kurtz's model That is, user-initiated sessions continue to arrive in a Poisson fashion, but the session workload is now expressed in terms of the number of TCP connections that make up a particular session and remains heavy tailed with in nite variance; for consistency, we assume that the TCP connections within a session arrive in such a way that they don't overlap with one another.





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Most transaction processing monitors operate in a bulletin board, or memorybased mode. Transactions that are in-flight are posted to the bulletin board until they are committed to all systems. Recovering a bulletin board system is similar to recovering a database; the log of applied transactions results in rollforwards or rollbacks to bring the transaction monitor into a state of consistency with the databases it is front-ending. A reliable queue, or transactional queue, uses disk-based transaction waiting areas to ensure that no transaction accepted by the queue is ever lost. Reliable queues that allow transactions to be inserted and processed later are known as store-and-forward queues or asynchronous queues. Examples of reliable queuing systems include the IBM/Transarc Encina RQS, IBM s MQ Series, Microsoft s MSMQ, and BEA s Tuxedo/Q and MessageQ products. There are other commercial products that perform some of the store-and-forward distribution of messages but lack strong recovery or replication features. Use the design rules and requirements in this chapter to help guide you through product selection; you may not need all of the transactional recovery if you handle corner cases in your application.

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It is then easy to see that this two-tier approach to describing aggregate WAN traf c yields the additive traf c component via the TCP-connection-within-structure and the multiplicative component via the dynamics prescribed for the packets within individual TCP connections Moreover, this two-tier approach is also fully consistent with measured Internet traf c at the different layers in the TCP=IP protocol heirarchy (eg, see Feldmann et al [12]) 2043 Toward a Comprehensive Study of Network Performance.

A dead man timer is a mechanism where any sign of activity from a system resets the timer. When no activity occurs, the timer counts, and when it reaches its expiration point, it acts as though the nonresponding system has failed.

The attractive feature of the above structural model for wide-area traf c is that it is consistent with measured traf c at all levels of interest and that it accounts in a

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parsimonious manner for both the global or large-time scale as well as local or smalltime scale characteristics observed in measured WAN traf c While the global scaling behavior is already part of Kurtz's original model (via the relationship between heavy-tailed sizes or durations of the individual sessions and the asymptotic self-similarity of the aggregate packet stream) and is captured by the Hurst parameter H, the original model does not incorporate local scaling behavior However, we have seen earlier that by choosing an appropriate generator for the generic underlying conservative binomial cascade for the within-connection traf c rate process, we are able to obtain the same overall multifractal scaling as captured by the multifractal spectrum associated with the generic cascade model for the individual TCP connections.

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