Buffer Overflow Management in QoS Switches
SIAM Journal on Computing
An optimal online algorithm for packet scheduling with agreeable deadlines
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
Competitive queue policies for differentiated services
Journal of Algorithms
Better online buffer management
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Considering suppressed packets improves buffer management in QoS switches
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Improved online algorithms for buffer management in QoS switches
ACM Transactions on Algorithms (TALG)
Improved Online Algorithms for Multiplexing Weighted Packets in Bounded Buffers
AAIM '09 Proceedings of the 5th International Conference on Algorithmic Aspects in Information and Management
Introduction to Algorithms, Third Edition
Introduction to Algorithms, Third Edition
Multiplexing packets with arbitrary deadlines in bounded buffers
SWAT'06 Proceedings of the 10th Scandinavian conference on Algorithm Theory
Bounded delay packet scheduling in a bounded buffer
Operations Research Letters
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Motivated by providing quality-of-service differentiated services in the Internet, we consider buffer management algorithms for network switches. We study a multi-buffer model. A network switch consists of multiple size-bounded buffers such that at any time, the number of packets residing in each individual buffer cannot exceed its capacity. Packets arrive at the network switch over time; they have values, deadlines, and designated buffers. In each time step, at most one pending packet is allowed to be sent and this packet can be from any buffer. The objective is to maximize the total value of the packets sent by their respective deadlines. A 9.82-competitive online algorithm (Azar and Levy in Lect Notes Comput Sci 4059:5---16 2006) and a 4.73-competitive online algorithm (Li in Lect Notes Comput Sci 5564:265---278, 2009) have been provided for this model, but no offline algorithms have yet been described. In this paper, we study the offline setting of the multi-buffer model. Our contributions include a few optimal offline algorithms for some variants of the model. Each variant has its unique and interesting algorithmic feature.