AbstractIn this paper, we give a finer separation of several known paging algorithms using a new technique called relative interval analysis. This technique compares the fault rate of two paging algorithms across the entire range of inputs of a given size, rather than in the worst case alone. Using this technique, we characterize the relative performance of LRU and LRU-2, as well as LRU and FWF, among others. We also show that look-ahead is beneficial for a paging algorithm, a fact that is well known in practice but it was, until recently, not verified by theory
It is well known that competitive analysis yields too pessimistic re-sults when applied to the pagin...
A generalized cost function is presented which is useful for comparing the performance of memory pag...
We introduce a new model of lookahead for on-line paging algorithms and study several algorithms usi...
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...
AbstractThe relative worst-order ratio, a relatively new measure for the quality of on-line algorith...
It has been experimentally observed that LRU and variants thereof are the preferred strategies for ...
AbstractMotivated by the fact that competitive analysis yields too pessimistic results when applied ...
We present a competitive analysis of the LRFU paging algorithm, a hybrid of the LRU (Least Recently...
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...
Recall our three goals for the mathematical analysis of algorithms — the Explanation Goal, the Compa...
Paging (caching) is the problem of managing a two-level memory hierarchy in order to minimize the ti...
In evaluating an algorithm, worst-case analysis can be overly pessimistic. Average-case analysis can...
In this paper we explore the effects of locality on the performance of paging algorithms. Traditiona...
It is well known that competitive analysis yields too pessimistic re-sults when applied to the pagin...
A generalized cost function is presented which is useful for comparing the performance of memory pag...
We introduce a new model of lookahead for on-line paging algorithms and study several algorithms usi...
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...
AbstractThe relative worst-order ratio, a relatively new measure for the quality of on-line algorith...
It has been experimentally observed that LRU and variants thereof are the preferred strategies for ...
AbstractMotivated by the fact that competitive analysis yields too pessimistic results when applied ...
We present a competitive analysis of the LRFU paging algorithm, a hybrid of the LRU (Least Recently...
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...
Recall our three goals for the mathematical analysis of algorithms — the Explanation Goal, the Compa...
Paging (caching) is the problem of managing a two-level memory hierarchy in order to minimize the ti...
In evaluating an algorithm, worst-case analysis can be overly pessimistic. Average-case analysis can...
In this paper we explore the effects of locality on the performance of paging algorithms. Traditiona...
It is well known that competitive analysis yields too pessimistic re-sults when applied to the pagin...
A generalized cost function is presented which is useful for comparing the performance of memory pag...
We introduce a new model of lookahead for on-line paging algorithms and study several algorithms usi...