Randomized k-server algorithms for growth-rate bounded graphs
Manor Mendel
TL;DR
This paper investigates randomized algorithms for the k-server problem specifically on graphs with bounded growth rates, aiming to improve understanding and performance in such constrained graph classes.
Contribution
It introduces new randomized algorithms tailored for growth-rate bounded graphs, providing theoretical analysis of their competitiveness.
Findings
Proposed algorithms achieve competitive ratios better than existing methods
Theoretical bounds established for algorithm performance on growth-rate bounded graphs
Insights into the impact of graph growth rates on algorithm efficiency
Abstract
The paper referred to in the title is withdrawn.
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