Data networks
Fairness in routing and load balancing
Journal of Computer and System Sciences - Special issue on Internet algorithms
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
A Linear Programming Based Approach for Computing Optimal Fair Splittable Routing
ISCC '02 Proceedings of the Seventh International Symposium on Computers and Communications (ISCC'02)
On Efficient Max-Min Fair Routing Algorithms
ISCC '03 Proceedings of the Eighth IEEE International Symposium on Computers and Communications
Routing, Flow, and Capacity Design in Communication and Computer Networks
Routing, Flow, and Capacity Design in Communication and Computer Networks
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In this paper a new aspect of the classical max-min fairness fixed-path problem is investigated. The considered (multi-criteria) optimization problem is almost identical to the continuous-flow problem, with the additional complicating assumption that flows must be integral. We show that such an extension makes the problem substantially more difficult (in fact ${\mathcal NP}$-hard). Through comparison with the closely related continuous-flow problem, a number of properties for the solution of the extended problem are derived. An algorithm, based on sequential resolution of linear programs, that shows to be useful (produce optimal solutions) for many instances of the considered problem, is given. It follows that this algorithm can be made exact, through substituting the involved linear programs by mixed-integer programs.