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However, it was observed in [6] that MRFL has a performance as poor as MRF for a large database system This is because, for large databases, the opportunity for tie-breaking diminishes and thus MRFL degenerates to MRF Consequently, a low-overhead and scalable approach called R W was proposed in [6] The R W algorithm schedules for the next broadcast the item with the maximal R W value, where R is the number of outstanding requests for that item and W is the amount of time that the oldest of those requests has been waiting for Thus, R W broadcasts an item either because it is very popular or because there is at least one request that has waited for a long time The method could be implemented inexpensively by maintaining the outstanding requests in two sorted orders, one ordered by R values and the other ordered by W values.

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8 > 0; for y < 8 > < y 8 F Y y ; for 8 y > > 9 : 1; for y > 17 8 > 0; for > >y 1 > > > ; < 9 f Y y >5 y > > > > 9 ; > : 0; for 8 < f Y y 1

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In order to avoid exhaustive search of the service queue, a pruning technique was proposed to find the maximal R W value Simulation results show that the performance of the R W is close to LWF, meaning that it is a good alternative for LWF when scheduling complexity is a major concern To further improve scheduling overheads, a parameterized algorithm was developed based on R W The parameterized R W algorithm selects the first item it encounters in the searching process whose R W value is greater than or equal to threshold, where.

Income statement (continued) pro forma, 532 535 sales revenue, 54 55, 245 248 terms related to, 18 19 unadjusted trial balance, 20 21 utility of, 56 Income statement accounts, and debit credit rules, 15 Income statement method, 12 Income summary account, 34 35 Income tax payable, as current liability, 78 Independent variable, in multipoint graph, 311 312 Indifference point, 305 Indirect costs allocation of, 297 299 defined, 4, 51, 295 Indirect expenses categories of, 58 distribution of, 70 72 Indirect method, net cash flow calculation, 413 Inelastic demand, meaning of, 275 Inflation LIFO during, 65 price/cost level change analysis, 114 117 Information systems, 556 562 benefits of, 558 559 and decision levels, 556 558 and decision making process, 559 561 effectiveness, evaluation of, 561 562 effectiveness versus efficiency factors, 562 Integrated banking, 468 469 Integrated pricing, 259 260 Integrated software, 580 Interactive software, 579 580 Internal control access to assets, limiting, 200 audit trail, 203 bank reconciliation, 216 217 basic principles, 195 204 bonding employees, 202 of cash disbursements, 212 213 of cash receipts, 210 211 of cashier s department, 217 218 computer applications, 227 228 control of product storage, 207 210 control of purchases, 204 207 cost standards, 219 222

short to begin with The structure of Wechsler s scales offered examiners obvious possibilities for replacing the full WAIS or WISC with a selection of subtests they believed would be suf cient for their purposes As reviewed by Campbell (1998) and Kaufman (1990), many such beliefs became formalized as short forms comprising from two to six subtests and achieving varying success in estimating Wechsler IQ The most promising compromises between saving time and obtaining suf cient data have been (a) the utilization of sevensubtest short forms for the WAIS-R and the WAIS-III, which have shown correlations in the high 90s with Full Scale IQ and provide dependable estimates of Verbal and Performance IQ as well (Ryan & Ward, 1999; Ward, 1990); and (b) the selection of an eight-subtest short form of the WISC-III that yields dependable estimates of both the IQ and Index Scores calculated for this measure (Donders, 1997).

Now using the simple bound (easy to prove by separately considering the cases m n and m < n) m! nm n , n! we obtain P n (T (P )) P n (T (P )) =

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