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One of the more confusing things about the WINS name resolution process is the method of a client's initial communication with the WINS server On a NetBIOS over TCP/IP (NBT) network, WINS is not necessarily used when resolving name-to-IP address mapping, or it may not be used initially as part of name resolution In fact, one node type, broadcast (b-node), doesn't use WINS at all These facts are particularly important when WINS is down or not working well The node type in use on a workstation is often not considered, or it may be one of the last things checked For example, a workstation configured to use b-node will check the NetBIOS name cache and do a local broadcast before giving up Although the request may be checked against the LMHOSTS file and passed on to DNS, these steps will be performed only if the client is configured to do so In any event, WINS is bypassed completely Other node types will contact a WINS server to resolve name requests, but in various ways Table 11-2 lists the node types along with a brief description of their name resolution behavior Table 11-2: NBT Node Types

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

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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

6

Broadcast (b-node)

The McGraw Hill Companies, 2001

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