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with care, however, because the time lost by the pre-empted transaction (due to rollback and restart) may cause the transaction to miss its deadline Unfortunately, it is dif cult to determine whether rollback or waiting is preferable in a given situation A major dif culty in supporting real-time constraints arises from the variance in transaction execution time In the best case, all data accesses reference data in the database buffer In the worst case, each access causes a buffer page to be written to disk (preceded by the requisite log records), followed by the reading from disk of the page containing the data to be accessed Because the two or more disk accesses required in the worst case take several orders of magnitude more time than the mainmemory references required in the best case, transaction execution time can be estimated only very poorly if data are resident on disk Hence, main-memory databases are often used if real-time constraints have to be met However, even if data are resident in main memory, variances in execution time arise from lock waits, transaction aborts, and so on Researchers have devoted considerable effort to concurrency control for real-time databases They have extended locking protocols to provide higher priority for transactions with early deadlines They have found that optimistic concurrency protocols perform well in real-time databases; that is, these protocols result in fewer missed deadlines than even the extended locking protocols The bibliographical notes provide references to research in the area of real-time databases In real-time systems, deadlines, rather than absolute speed, are the most important issue Designing a real-time system involves ensuring that there is enough processing power to meet deadlines without requiring excessive hardware resources Achieving this objective, despite the variance in execution time resulting from transaction management, remains a challenging problem

Communication schedule Sales leadership message Program launch material Field management training Sales force communication Plan documentation Performance and payout reporting Plan updates and advisory notes

The transaction concept developed initially in the context of data-processing applications, in which most transactions are noninteractive and of short duration Although the techniques presented here and earlier in s 15, 16, and 17 work well in those applications, serious problems arise when this concept is applied to database systems that involve human interaction Such transactions have these key properties: Long duration Once a human interacts with an active transaction, that transaction becomes a long-duration transaction from the perspective of the computer, since human response time is slow relative to computer speed Furthermore, in design applications, the human activity may involve hours, days, or an even longer period Thus, transactions may be of long duration in human terms, as well as in machine terms Exposure of uncommitted data Data generated and displayed to a user by a long-duration transaction are uncommitted, since the transaction may abort Thus, users and, as a result, other transactions may be forced to read uncommitted data If several users are cooperating on a project, user transactions may need to exchange data prior to transaction commit

The security appliances support a handful of network attack prevention features: Threat detection TCP normalization Connection limits and timeouts IP spoofing prevention

The McGraw Hill Companies, 2001

With threat detection, the appliance monitors the rate of dropped packets and security events, which can be caused by matches on ACL deny statements, receiving invalid packets, exceeding connection limits (total connections and TCP connections that don t complete the initial three-way handshake), detecting denial of service attacks, receiving suspicious ICMP packets, overloading interfaces, detecting a reconnaissance scan, and many other factors When a threat is detected, a log message is generated The TCP normalization feature lets you specify matching criteria that identify abnormal TCP packets, which the security appliance drops when detected TCP normalization is implemented using the Modular Policy Framework (MPF, discussed in 10) TCP normalization can identify and prevent inconsistent TCP retransmissions by validating TCP checksums, allowing or dropping TCP segments that exceed the maximum segment size (MSS), limiting the number of out-of-order packets for a connection, dropping SYN segments with data, and handling many other abnormalities with TCP transmissions Cisco supports a TCP Intercept feature that allows you to place limits on the number of complete and/or half-open connections A half-open connection is one that has not completed the initial three-way handshake: SYN, SYN/ACK, and ACK This feature can be used to defeat or greatly limit the effect of a TCP SYN flood attack