We address the tradeo between the competitive ratio and the resources used by randomized on-line algorithms for caching. Two algorithms reported in the literature that achieve the optimal ratio H k require a lot of memory and perform extensive computation at each step. On the other hand, a very simp
On the power of randomization in on-line algorithms
โ Scribed by S. Ben-David; A. Borodin; R. Karp; G. Tardos; A. Wigderson
- Publisher
- Springer
- Year
- 1994
- Tongue
- English
- Weight
- 797 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0178-4617
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In this paper we study randomized algorithms with random input. We adapt to such algorithms the notion of probability of a false positive which is common in epidemiological studies. The probability of a false positive takes into account both the (controlled) error of the randomization and the random
In the data-accumulating paradigm, inputs arrive continuously in real time, and the computation terminates when all the already received data are processed before another datum arrives. Previous research states that a constant upper bound on the running time of a successful algorithm within this par