We present a competitive analysis of the LRFU paging algorithm, a hybrid of the LRU (Least Recently Used) and LFU (Least Frequently Used) paging algorithms. We show that the competitive ratio of LRFU is k + 1, where 1 is the decay parameter used by the LRFU algorithm, and k is the size of the cache. This supplies, in particular, the rst natural paging algorithms that are competitive but are not optimally competitive, answering a question of Borodin and El-Yaniv. Although LRFU, as it turns out, is not optimally competitive, it is expected to behave well in practice, especially in web applications, as it combines the bene ts of both LRU and LFU
AbstractMotivated by the fact that competitive analysis yields too pessimistic results when applied ...
We introduce a new model of lookahead for on-line paging algorithms and study several algorithms usi...
AbstractThe paging problem is defined as follows: we are given a two-level memory system, in which o...
It has been experimentally observed that LRU and variants thereof are the preferred strategies for o...
In evaluating an algorithm, worst-case analysis can be overly pessimistic. Average-case analysis can...
It has been experimentally observed that LRU and variants thereof are the preferred strategies for ...
It is well known that competitive analysis yields too pessimistic re-sults when applied to the pagin...
AbstractThe relative worst-order ratio, a relatively new measure for the quality of on-line algorith...
The paging problem is that of deciding which pages to keep in a memory of k pages in order to minimi...
AbstractThe Sleator-Tarjan competitive analysis of paging (Comm. ACM28 (1985), 202-208) gives us the...
AbstractIn this paper, we give a finer separation of several known paging algorithms using a new tec...
In this paper we explore the effects of locality on the performance of paging algorithms. Traditiona...
We consider a variant of the online paging problem where the online algorithm may buy additional cac...
Recall our three goals for the mathematical analysis of algorithms — the Explanation Goal, the Compa...
We consider a variant of the online paging problem where the online algorithm may buy additional cac...
AbstractMotivated by the fact that competitive analysis yields too pessimistic results when applied ...
We introduce a new model of lookahead for on-line paging algorithms and study several algorithms usi...
AbstractThe paging problem is defined as follows: we are given a two-level memory system, in which o...
It has been experimentally observed that LRU and variants thereof are the preferred strategies for o...
In evaluating an algorithm, worst-case analysis can be overly pessimistic. Average-case analysis can...
It has been experimentally observed that LRU and variants thereof are the preferred strategies for ...
It is well known that competitive analysis yields too pessimistic re-sults when applied to the pagin...
AbstractThe relative worst-order ratio, a relatively new measure for the quality of on-line algorith...
The paging problem is that of deciding which pages to keep in a memory of k pages in order to minimi...
AbstractThe Sleator-Tarjan competitive analysis of paging (Comm. ACM28 (1985), 202-208) gives us the...
AbstractIn this paper, we give a finer separation of several known paging algorithms using a new tec...
In this paper we explore the effects of locality on the performance of paging algorithms. Traditiona...
We consider a variant of the online paging problem where the online algorithm may buy additional cac...
Recall our three goals for the mathematical analysis of algorithms — the Explanation Goal, the Compa...
We consider a variant of the online paging problem where the online algorithm may buy additional cac...
AbstractMotivated by the fact that competitive analysis yields too pessimistic results when applied ...
We introduce a new model of lookahead for on-line paging algorithms and study several algorithms usi...
AbstractThe paging problem is defined as follows: we are given a two-level memory system, in which o...