The online 2-server problem presents a number of challenges in the search for simple competitive algorithms for solving it. Finding the optimal off-line solution involves costly dynamic programming. Looking for more efficient algorithms, researchers have studied how restriction on the input information given to the algorithm affects its competitiveness. One such restriction is tracklessness. Trackless algorithms for the 2-server problem include many known server algorithms including BALANCE_SLACK and some paging algorithms. It is demonstrated that the trackless 2-server optimization problem has a deterministic lower bound of 2311\u3e2 for competitiveness, thus proving that tracklessness is a significant restriction. The optimally competitiv...
We consider a generalized 2-server problem on the uniform space in which servers have different cost...
The generalized 2-server problem is an online optimization problem where a sequence of requests has ...
by Chi-ming Wat.Thesis (M.Phil.)--Chinese University of Hong Kong, 1995.Includes bibliographical ref...
In this thesis we present a randomized online algorithm for the 2-server problem on the line, named ...
We consider existing research methodology for dealing with competitiveness analysis of on-line algor...
AbstractWe consider a generalized two-server problem on the uniform space in which servers have diff...
AbstractIn the k-server problem we wish to minimize, in an online fashion, the movement cost of k se...
In the k-server problem there are k ≥ 2 identical servers which are located at k points in a metric ...
AbstractWe consider a generalization of the 2-server problem in which servers have different costs. ...
The weighted k-server problem is a generalization of the k-server problem wherein the cost of moving...
AbstractWe study several interesting variants of the k-server problem. In the CNN problem, one serve...
In the k-server problem we wish to minimize, in an online fashion, the movement cost of k servers i...
In this paper, we prove lower bounds on the competitive ratio of randomized algorithms for two on-li...
We consider a generalized 2-server problem on the uniform space in which servers have different cos...
We consider the general on-line two server problem in which at each step both servers receive a requ...
We consider a generalized 2-server problem on the uniform space in which servers have different cost...
The generalized 2-server problem is an online optimization problem where a sequence of requests has ...
by Chi-ming Wat.Thesis (M.Phil.)--Chinese University of Hong Kong, 1995.Includes bibliographical ref...
In this thesis we present a randomized online algorithm for the 2-server problem on the line, named ...
We consider existing research methodology for dealing with competitiveness analysis of on-line algor...
AbstractWe consider a generalized two-server problem on the uniform space in which servers have diff...
AbstractIn the k-server problem we wish to minimize, in an online fashion, the movement cost of k se...
In the k-server problem there are k ≥ 2 identical servers which are located at k points in a metric ...
AbstractWe consider a generalization of the 2-server problem in which servers have different costs. ...
The weighted k-server problem is a generalization of the k-server problem wherein the cost of moving...
AbstractWe study several interesting variants of the k-server problem. In the CNN problem, one serve...
In the k-server problem we wish to minimize, in an online fashion, the movement cost of k servers i...
In this paper, we prove lower bounds on the competitive ratio of randomized algorithms for two on-li...
We consider a generalized 2-server problem on the uniform space in which servers have different cos...
We consider the general on-line two server problem in which at each step both servers receive a requ...
We consider a generalized 2-server problem on the uniform space in which servers have different cost...
The generalized 2-server problem is an online optimization problem where a sequence of requests has ...
by Chi-ming Wat.Thesis (M.Phil.)--Chinese University of Hong Kong, 1995.Includes bibliographical ref...