Work function algorithm can forget history without losing competitiveness

Computer Science – Data Structures and Algorithms

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

The Work Function Algorithm is the most effective deterministic on-line algorithm for the k-server problem. Koutsoupias and Papadimitriou proved WFA is (2k-1) competitive. However the best known implementation of WFA requires time O(i^2) to process request r_i and this makes WFA impractical for long sequences of requests. The O(i^2) time is spent to compute the work function on the whole history of past requests. In order to make constant the time to process a request, Rudec and Menger proposed to restrict the history to a moving window of fixed size. However WFA restricted to a moving window loses its competitiveness. Here we give a condition that allows WFA to forget the whole previous history and restart from scratch without losing competitiveness. Moreover for most of the metric spaces of practical interest (finite or bounded spaces) there is a constant bound on the length of the history before the condition is verified and this makes O(1) the time to process each request.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Work function algorithm can forget history without losing competitiveness does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Work function algorithm can forget history without losing competitiveness, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Work function algorithm can forget history without losing competitiveness will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-381501

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.