By Alexander Thomasian (auth.)

Database Concurrency keep watch over: tools, functionality and Analysis is a evaluation of advancements in concurrency keep watch over equipment for centralized database structures, with a brief digression into disbursed databases and multicomputers, the emphasis being on functionality.
the most pursuits of Database Concurrency regulate: equipment, Performanceand Analysis are to succinctly specify a number of concurrency regulate equipment; to explain types for comparing the relative functionality of concurrency keep watch over tools; to show troublesome areas in prior functionality analyses; to introduce queuing community types to guage the baseline functionality of transaction processing structures; to supply insights into the relative functionality of transaction processing platforms; to demonstrate the appliance of simple analytic ways to the functionality research of varied concurrency keep watch over equipment; to check transaction types that are meant to alleviate the influence of lock rivalry; to supply instructions for making improvements to the functionality of transaction processing platforms as a result of concurrency regulate; and to indicate parts for additional research.
This monograph will be of direct curiosity to machine scientists doing examine on concurrency regulate tools for top functionality transaction processing platforms, designers of such platforms, and execs considering enhancing (tuning) the functionality of transaction processing systems.

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Extra resources for Database Concurrency Control: Methods, Performance, and Analysis

Sample text

It can be concluded from simulation results reported in [ACMc87] that the deadlock resolution method has little effect on the maximum effective throughput (performance differences past the peak throughput are of little interest). eyc/ic restarts occur when restarted transactions have lock conflicts with transactions they have had lock conflict before and these lead to repeated deadlocks, which are resolved by aborting one of the two or more transactions in the deadlock cycle [ACMc87]. Cyclic restarts are possible with policies (1) and (2), while method (4) guarantees that they are prevented.

Finally, the analytic solution of a concurrency control method may predict a high level performance measure accurately for some set of parameters, while there are unacceptable errors in estimating lower level performance measures. , transaction blocking time is overestimated, while the fraction of aborted transactions is underestimated. A careful validation requires experimentation with a larger set of input parameters, as weil as the validation of lower level performance measures. , [RyTh90a].

1 in Chapter 3. , a saturated CPU (see discussion in Chapter 4 in (TayY87]). , with all accesses in shared mode, fixed size transactions are outperformed by variable size transactions with the same mean transaction size [Thom92a]. A possible explanation for this is the observation from simulation results that fixed size transactions tend to access slightly more remote sites than variable size transactions. That this is truly so is ascertained by an analysis involving the' application of Jensen's inequality [Klei75] for the particular model for remote site accesses (Bernoulli trials are used in [Thom93a] to determine whether a local or remote node is being accessed).

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