The k-server problem is one of the most fundamental online problems. The problem is to schedule k mobile servers to visit a sequence of points in a metric space with minimum total...
Competitive analysis is the established tool for measuring the output quality of algorithms that work in an online environment. Recently, the model of advice complexity has been in...
In this paper, we prove lower bounds on the competitive ratio of randomized algorithms for two on-line problems: the k-server problem, suggested by [MMS], and an on-line motion-pl...
We consider the Work Function Algorithm for the k-server problem [2, 3]. We show that if the Work Function algorithm is c-competitive, then it is also strictly (2c)-competitive. A...
Yuval Emek, Pierre Fraigniaud, Amos Korman, Adi Ro...
The relative worst order ratio, a new measure for the quality of on-line algorithms, was recently defined and applied to two bin packing problems. Here, we extend the definition ...