Maximum bounded 3-dimensional matching is MAX SNP-complete
Information Processing Letters
Online computation and competitive analysis
Online computation and competitive analysis
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Improved approximation algorithms for rectangle tiling and packing
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
A unified approach to approximating resource allocation and scheduling
Journal of the ACM (JACM)
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Resource management with hoses: point-to-cloud services for virtual private networks
IEEE/ACM Transactions on Networking (TON)
Approximation Algorithms for the Unsplittable Flow Problem
APPROX '02 Proceedings of the 5th International Workshop on Approximation Algorithms for Combinatorial Optimization
Routing and Admission Control in Networks with Advance Reservations
APPROX '02 Proceedings of the 5th International Workshop on Approximation Algorithms for Combinatorial Optimization
Developments from a June 1996 seminar on Online algorithms: the state of the art
Approximation algorithms for disjoint paths problems
Approximation algorithms for disjoint paths problems
An O(v|v| c |E|) algoithm for finding maximum matching in general graphs
SFCS '80 Proceedings of the 21st Annual Symposium on Foundations of Computer Science
Multicommodity demand flow in a tree
ICALP'03 Proceedings of the 30th international conference on Automata, languages and programming
Admission control with advance reservations in simple networks
Journal of Discrete Algorithms
A Novel Approximate Algorithm for Admission Control
FAW '09 Proceedings of the 3d International Workshop on Frontiers in Algorithmics
How well can primal-dual and local-ratio algorithms perform?
ACM Transactions on Algorithms (TALG)
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Given a network together with a set of connection requests, call admission control is the problem of deciding which calls to accept and which ones to reject in order to maximize the total profit of the accepted requests. We consider call admission control problems with advance reservations in star networks. For the most general variant we present a constant-factor approximation algorithm resolving an open problem due to Erlebach. Our method is randomized and achieves an approximation ratio of 1/18. It can be generalized to accommodate call alternatives, in which case the approximation ratio is 1/24. We show how our method can be derandomized. In addition we prove that call admission control in star networks is ${\mathcal APX}$-hard even for very restricted variants of the problem.