Title
Fair cost-sharing methods for scheduling jobs on parallel machines
Abstract
We consider the problem of sharing the cost of scheduling n jobs on m parallel machines among a set of agents. In our setting, each agent owns exactly one job and the cost is given by the makespan of the computed assignment. We focus on @a-budget-balanced cross-monotonic cost-sharing methods since they guarantee the two substantial mechanism properties @a-budget-balance and group-strategyproofness and provide fair cost-shares. For identical jobs on related machines and for arbitrary jobs on identical machines, we give (m+1)/(2m)-budget-balanced cross-monotonic cost-sharing methods and show that this is the best approximation possible. As our major result, we prove that the approximation factor for cross-monotonic cost-sharing methods is unbounded for arbitrary jobs and related machines. We therefore develop a cost-sharing method in the (m+1)/(2m)-core, a weaker but also fair solution concept.
Year
DOI
Venue
2009
10.1016/j.jda.2009.02.001
CIAC
Keywords
DocType
Volume
solution concept
Journal
7
Issue
ISSN
ISBN
3
Journal of Discrete Algorithms
3-540-34375-X
Citations 
PageRank 
References 
11
0.58
28
Authors
2
Name
Order
Citations
PageRank
Yvonne Bleischwitz1282.59
Burkhard Monien22199279.35