Abstract
We present a unified framework for designing deterministic monotone polynomial time approximation schemes (PTASs) for a wide class of scheduling problems on uniformly related machines. This class includes (among others) minimizing the makespan, maximizing the minimum load, and minimizing the p-norm of the machine loads vector. Previously, this kind of result was only known for the makespan objective. Monotone algorithms have the property that an increase in the speed of a machine cannot decrease the amount of work assigned to it. Our results imply the existence of a truthful mechanism that can be implemented in polynomial time, where the social goal is approximated within arbitrary precision.
| Original language | English |
|---|---|
| Pages (from-to) | 332-351 |
| Number of pages | 20 |
| Journal | Mathematics of Operations Research |
| Volume | 41 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 2016 |
Bibliographical note
Publisher Copyright:© 2016 INFORMS.
Keywords
- Algorithmic game theory
- Monotone approximation algorithms
- Scheduling
ASJC Scopus subject areas
- General Mathematics
- Computer Science Applications
- Management Science and Operations Research