Relative Worst-Order Analysis: A Survey

TL;DR

This paper surveys the relative worst-order analysis technique for evaluating online algorithms, highlighting key results and comparing it with other performance measures.

Contribution

It provides a comprehensive overview of the most important results in relative worst-order analysis and compares it with alternative evaluation methods.

Findings

Highlights key results in relative worst-order analysis

Compares this technique with other online algorithm measures

Provides insights into the strengths and limitations of the approach

Abstract

Relative worst-order analysis is a technique for assessing the relative quality of online algorithms. We survey the most important results obtained with this technique and compare it with other quality measures.