Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Computer Networks: A Systems Approach, 3rd Edition
Computer Networks: A Systems Approach, 3rd Edition
Scheduling real-time traffic in ATM networks
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 1
Scheduling Multiclass Packet Streams to Minimize Weighted Loss
Queueing Systems: Theory and Applications
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Online scheduling of unit-length packets with hard deadlines by a single server in slotted time is considered. First, the throughput optimal scheduling policies are characterized. Then multiclass packets are considered in which each packet has an M-bit class identifier, and a new optimality property called lex-optimality (short for lexicographic optimality) is defined for online scheduling policies. Lex-optimality is a hierarchical sequence of M throughput optimality properties. The lex-optimal policies that do not drop packets early are characterized. Both characterizations involve identification of a "no-regret subset" of the set of packets available for scheduling in a given slot. A lex-optimal scheduling algorithm is presented with complexity per packet O(MB), where M is the log of the number of priority classes and B is the maximum buffer size. The algorithm requires no more packets to be buffered than any online, throughput optimal scheduling policy. Simulation results are presented that illustrate that lex-optimality combines elements of pure priority and nested priority scheduling.