We introduce a new model of lookahead for on-line paging algorithms and study several algorithms using this model. A paging algorithm is on-line with strong lookahead l if it sees the present request and a sequence of future requests that contains l pairwise distinct pages. We show that strong lookahead has practical as well as theoretical importance and improves the competitive factors of on-line paging algorithms. This is the rst model of lookahead having such properties. In addition to lower bounds we present a number of deterministic and randomized on-line paging algorithms with strong lookahead which are optimal or nearly optimal
We consider a variant of the online paging problem where the online algorithm may buy additional cac...
In evaluating an algorithm, worst-case analysis can be overly pessimistic. Average-case analysis can...
An efficient randomized online algorithm for the paging problem for cache size 2 is given, which is ...
AbstractThis paper studies two methods for improving the competitive efficiency of on-line paging al...
In the competitive analysis of on-line problems, an on-line algorithm is presented with a sequence o...
This paper studies two methods for improving the competitive efficiency of on-line paging algorithms...
AbstractWe consider the question of lookahead in the list update problem: What improvement can be ac...
We consider the question of lookahead in the list update problem: What improvement can be achieved i...
The paging problem is that of deciding which pages to keep in a memory of k pages in order to minimi...
AbstractThe paging problem is defined as follows: we are given a two-level memory system, in which o...
We construct an online algorithm for paging that achieves an O(r+log k) competitive ratio when compa...
We tackle the problem of online paging on two level memories with arbitrary associativity (including...
AbstractMotivated by the fact that competitive analysis yields too pessimistic results when applied ...
We study the weighted version of the classic online paging problem where there is a weight (cost) fo...
We study the writeback-aware caching problem, a variant of classic paging where paging requests that...
We consider a variant of the online paging problem where the online algorithm may buy additional cac...
In evaluating an algorithm, worst-case analysis can be overly pessimistic. Average-case analysis can...
An efficient randomized online algorithm for the paging problem for cache size 2 is given, which is ...
AbstractThis paper studies two methods for improving the competitive efficiency of on-line paging al...
In the competitive analysis of on-line problems, an on-line algorithm is presented with a sequence o...
This paper studies two methods for improving the competitive efficiency of on-line paging algorithms...
AbstractWe consider the question of lookahead in the list update problem: What improvement can be ac...
We consider the question of lookahead in the list update problem: What improvement can be achieved i...
The paging problem is that of deciding which pages to keep in a memory of k pages in order to minimi...
AbstractThe paging problem is defined as follows: we are given a two-level memory system, in which o...
We construct an online algorithm for paging that achieves an O(r+log k) competitive ratio when compa...
We tackle the problem of online paging on two level memories with arbitrary associativity (including...
AbstractMotivated by the fact that competitive analysis yields too pessimistic results when applied ...
We study the weighted version of the classic online paging problem where there is a weight (cost) fo...
We study the writeback-aware caching problem, a variant of classic paging where paging requests that...
We consider a variant of the online paging problem where the online algorithm may buy additional cac...
In evaluating an algorithm, worst-case analysis can be overly pessimistic. Average-case analysis can...
An efficient randomized online algorithm for the paging problem for cache size 2 is given, which is ...