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
AbstractThe Sleator-Tarjan competitive analysis of paging (Comm. ACM28 (1985), 202-208) gives us the...
AbstractThe paging problem is defined as follows: we are given a two-level memory system, in which o...
In this paper we explore the effects of locality on the performance of paging algorithms. Traditiona...
AbstractIn this paper, we give a finer separation of several known paging algorithms using a new tec...
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 o...
AbstractMotivated by the fact that competitive analysis yields too pessimistic results when applied ...
It has been experimentally observed that LRU and variants thereof are the preferred strategies for ...
Recall our three goals for the mathematical analysis of algorithms — the Explanation Goal, the Compa...
In evaluating an algorithm, worst-case analysis can be overly pessimistic. Average-case analysis can...
This paper studies two methods for improving the competitive efficiency of on-line paging algorithms...
AbstractThis paper studies two methods for improving the competitive efficiency of on-line paging al...
Paging is one of the most prominent problems in the field of online algorithms. We have to serve a s...
We present a competitive analysis of the LRFU paging algorithm, a hybrid of the LRU (Least Recently...
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...
AbstractThe paging problem is defined as follows: we are given a two-level memory system, in which o...
In this paper we explore the effects of locality on the performance of paging algorithms. Traditiona...
AbstractIn this paper, we give a finer separation of several known paging algorithms using a new tec...
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 o...
AbstractMotivated by the fact that competitive analysis yields too pessimistic results when applied ...
It has been experimentally observed that LRU and variants thereof are the preferred strategies for ...
Recall our three goals for the mathematical analysis of algorithms — the Explanation Goal, the Compa...
In evaluating an algorithm, worst-case analysis can be overly pessimistic. Average-case analysis can...
This paper studies two methods for improving the competitive efficiency of on-line paging algorithms...
AbstractThis paper studies two methods for improving the competitive efficiency of on-line paging al...
Paging is one of the most prominent problems in the field of online algorithms. We have to serve a s...
We present a competitive analysis of the LRFU paging algorithm, a hybrid of the LRU (Least Recently...
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...
AbstractThe paging problem is defined as follows: we are given a two-level memory system, in which o...
In this paper we explore the effects of locality on the performance of paging algorithms. Traditiona...