Comparison of self-organizing linear search rules

Author:

Lam K.

Abstract

Consider a file with n records denoted by R1, R2, …, Rn. At each access of a record, the file has to be searched sequentially and it is assumed that the search cost is proportional to the number of probes needed to retrieve the records. The access probabilities p1, p2, …, pn are assumed to be unknown constants and accesses are assumed to be independent. A move-forward self-organizing rule moves a record accessed in the ith position to the lith position without changing the relative ordering of other records where li, = 1, li, < i for i = 2, …, n and li+1li. A move-forward rule R is said to be ≦ another move-forward rule R′ if lili for all i. It is shown that when p2 = p3 = ··· = pn, RR, implies cost R ≦ cost R. This is a generalization of some known results. A new consequence is that the move-up-k + 1 rule is more costly than the move-up-k rule and the move-to-front rule is the most costly of all move-forward rules.

Publisher

Cambridge University Press (CUP)

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MOVE-FORWARD RULES AND f-SWAP RULES APPLIED TO A COMMUNICATION PROBLEM;Probability in the Engineering and Informational Sciences;2006-03-06

2. A generalized abel's partial summation formula and its application in self-organizing systems;Communications in Statistics. Stochastic Models;1999-01

3. Applying POS(i) rules to communication problems;Journal of Applied Probability;1998-09

4. Applying POS(i) rules to communication problems;Journal of Applied Probability;1998-09

5. Cost comparison of a spectrum of self-organizing rules;Journal of Applied Probability;1997-09

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