On the Advice Complexity of the k-Server Problem

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 introduced as an alternative measurement which allows for a more fine-grained analysis of the hardness of online problems. In this model, one tries to measure the amount of information an online algorithm is lacking about the future parts of the input. This concept was investigated for a number of well-known online problems including the k-server problem. In this paper, we first extend the analysis of the k-server problem by giving both a lower bound on the advice needed to obtain an optimal solution, and upper bounds on algorithms for the general k-server problem on metric graphs and the special case of dealing with the Euclidean plane. In the general case, we improve the previously known results by an exponential factor, in the Euclidean case we design an algorithm which achieves a constant competitive rati...

• Type: Journal
• Year: 2011
• Where: ICALP
• Authors: Hans-Joachim Böckenhauer, Dennis Komm, Rastislav Královic, Richard Královic
• Keywords: Euclidean Plane, ICALP 2011, Output Quality, Programming Languages, Server Problem