Let s be the ratio of the cost for purchasing skis over the cost for renting them. Then the famous result for the ski-rental problem shows that skiers should buy their skis after renting them (s - 1) times, which gives us an optimal competitive ratio of 2 - 1/s. In practice, however, it appears that many skiers buy their skis before this optimal point of time and also many skiers keep renting them forever. In this paper we show that this behavior of skiers is quite reasonable by using an average-case competitive ratio. For an exponential input distribution f(t) = λ e-λt, optimal strategies are (i) if 1/λ \leq s, then skiers should rent their skis forever and (ii) otherwise they should purchase them after renting approximately s2λ (<s) times. Thus average-case competitive analyses give us the result which differs from the worst-case competitive analysis and also differs from the traditional average cost analysis. Other distributions and related problems are also discussed.
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Fujiwara, H., Iwama, K. Average-Case Competitive Analyses for Ski-Rental Problems. Algorithmica 42, 95–107 (2005). https://doi.org/10.1007/s00453-004-1142-x
- Online algorithms
- Competitive analysis