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Project Details
| Department | Computer Science |
| Type | Project |
| Pages | 52 |
| Reference Style | YES |
| Format | MS Word & PDF |
| Reference No. | CPU2495 |
Abstract
ABSTRACT We analyze a class of randomized Least-Recently-Used (LRU) cache replacement algorithms under the independent reference model with generalized Zipf’s law request probabilities. The randomization was recently proposed for Web caching as a mechanism that discriminates between different document sizes. In particular, a requested document that is not found in the cache either replaces a necessary number of least recently used documents with probability depending on its size or the cache is left unchanged. In this framework, we provide explicit asymptotic characterization of the cache faul…
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Full material
₦ 5,000 $(29)
| Pages | 52 |
| Delivery | Instant, after payment |
