AbstractThe relative worst-order ratio, a relatively new measure for the quality of on-line algorithms, is extended and applied to the paging problem. We obtain results significantly different from those obtained with the competitive ratio. First, we devise a new deterministic paging algorithm, Retrospective-LRU, and show that, according to the relative worst-order ratio and in contrast with the competitive ratio, it performs better than LRU. Our experimental results, though not conclusive, are slightly positive and leave it possible that Retrospective-LRU or similar algorithms may be worth considering in practice. Furthermore, the relative worst-order ratio (and practice) indicates that LRU is better than the marking algorithm FWF, though ...
We construct an online algorithm for paging that achieves an O(r+log k) competitive ratio when compa...
AbstractThe paging problem is defined as follows: we are given a two-level memory system, in which o...
We introduce a new model of lookahead for on-line paging algorithms and study several algorithms usi...
AbstractThe relative worst-order ratio, a relatively new measure for the quality of on-line algorith...
AbstractIn this paper, we give a finer separation of several known paging algorithms using a new tec...
It has been experimentally observed that LRU and variants thereof are the preferred strategies for o...
It has been experimentally observed that LRU and variants thereof are the preferred strategies for ...
Abstract The relative worst-order ratio is a measure of the quality of online algorithms. In contras...
The paging problem is that of deciding which pages to keep in a memory of k pages in order to minimi...
In evaluating an algorithm, worst-case analysis can be overly pessimistic. Average-case analysis can...
Recall our three goals for the mathematical analysis of algorithms — the Explanation Goal, the Compa...
We present a competitive analysis of the LRFU paging algorithm, a hybrid of the LRU (Least Recently...
AbstractMotivated by the fact that competitive analysis yields too pessimistic results when applied ...
It is well known that competitive analysis yields too pessimistic re-sults when applied to the pagin...
AbstractThe Sleator-Tarjan competitive analysis of paging (Comm. ACM28 (1985), 202-208) gives us the...
We construct an online algorithm for paging that achieves an O(r+log k) competitive ratio when compa...
AbstractThe paging problem is defined as follows: we are given a two-level memory system, in which o...
We introduce a new model of lookahead for on-line paging algorithms and study several algorithms usi...
AbstractThe relative worst-order ratio, a relatively new measure for the quality of on-line algorith...
AbstractIn this paper, we give a finer separation of several known paging algorithms using a new tec...
It has been experimentally observed that LRU and variants thereof are the preferred strategies for o...
It has been experimentally observed that LRU and variants thereof are the preferred strategies for ...
Abstract The relative worst-order ratio is a measure of the quality of online algorithms. In contras...
The paging problem is that of deciding which pages to keep in a memory of k pages in order to minimi...
In evaluating an algorithm, worst-case analysis can be overly pessimistic. Average-case analysis can...
Recall our three goals for the mathematical analysis of algorithms — the Explanation Goal, the Compa...
We present a competitive analysis of the LRFU paging algorithm, a hybrid of the LRU (Least Recently...
AbstractMotivated by the fact that competitive analysis yields too pessimistic results when applied ...
It is well known that competitive analysis yields too pessimistic re-sults when applied to the pagin...
AbstractThe Sleator-Tarjan competitive analysis of paging (Comm. ACM28 (1985), 202-208) gives us the...
We construct an online algorithm for paging that achieves an O(r+log k) competitive ratio when compa...
AbstractThe paging problem is defined as follows: we are given a two-level memory system, in which o...
We introduce a new model of lookahead for on-line paging algorithms and study several algorithms usi...