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5323 Multiversion Concurrency Control Algorithm The multiversion (MV) algorithms for concurrency control [Papadimitriou82] are mostly used in engineering databases, where the system needs to maintain the history of how a data item has changed over time In other words, instead of saving only one value for data item X, the system maintains multiple values for X known as versions Every time a transaction is allowed to write to data item X, it creates a new version of X If X has been written N times, then there are N versions of X in the database One of the bene ts of having multiple versions for every data item is that the MV algorithm does not have to block any read requests.

where r (x|y) =

That is because for any read request, say, from Ti, it can nd a version of X that has been written by, say, Tj, such that the ts(Tj) < ts(Ti) and Tj is the youngest transaction among all transactions that have written X Figure 517 illustrates this example For this example, data item X has N versions Transaction Ti must read the most recent version of X that precedes it chronologically This is the version of X that was written by the youngest transaction older than Ti, that is, version Xk in the diagram In order to maintain consistency, the MV algorithm must reject Ti s request to write X if any younger transaction has read X before Ti makes the request to write it In this case, Ti is too late meaning that Ti should have made its write request before the read requests from the younger transactions.

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Since age is used to enforce serializability, Ti should have written X before a younger transaction had read it In Figure 518, we have outlined the MV algorithm In this gure, data item X has N versions indicated as x1, x2, , xN This MV algorithm handles timestamping similar to the basic TO algorithm, with one exception Since the MV algorithm must consider multiple versions of an item, we must also consider multiple timestamps for each data item there is a read timestamp and a write timestamp associated with each version In the MV algorithm, each version has a value, a read timestamp (rts), and a write timestamp (wts) In this algorithm, value(xk) represents the value of version.

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414 A P P L I C A T I O N S O F E V O L V I N G I N T E L L I G E N T S Y S T E M S T O O I L A N D G A S I N D U S T R Y

For Ajzen (1991), the PBC construct refers to general perceptions of control (see competence-based approaches in the next section) He overtly compared it with Bandura s (1977) construct of self-efficacy that captures judgments of how well one can execute volitional behaviors required to produce important outcomes The construct of PBC is also underpinned by a set of control beliefs and the perceived power of these beliefs (Ajzen & Fishbein, 1980) Control beliefs refer to the perceived presence of factors that may facilitate or impede performance of behavior, and perceived power refers to the perceived impact that facilitative or inhibiting factors may have on performance of behavior (Ajzen, 1991).

delayed energy will spill into a subsequent bit (or symbol) for the rst 10 ms of the bit period and will have no negative effect on the bit decision. If the bit stream is 64,000 bps, then the bit period is 1/ 64,000 or 15 ms. Destructive energy from the previous bit (symbol) will spill into the rst two-thirds of the bit period, well beyond the midbit sampling point. This is typical intersymbol interference (ISI), and in this case there is a high probability that there will be a bit error. The bottom line is that the destructive potential of ISI increases as the bit rate increases (i.e., as the bit period decreases).