The iSLIP scheduling algorithm for input-queued switches
IEEE/ACM Transactions on Networking (TON)
Scheduling of real-time messages in optical broadcast-and-select networks
IEEE/ACM Transactions on Networking (TON)
QoS provisioning and tracking fluid policies in input queueing switches
IEEE/ACM Transactions on Networking (TON)
Graph Algorithms
Introduction to Algorithms
ATM Input-Buffered Switches with the Guaranteed-Rate Property
ISCC '98 Proceedings of the Third IEEE Symposium on Computers & Communications
Providing bandwidth guarantees in an input-buffered crossbar switch
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 3)-Volume - Volume 3
An efficient packet scheduling algorithm with deadline guarantees for input-queued switches
IEEE/ACM Transactions on Networking (TON)
Achieving 100% throughput in an input-queued switch
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
Path switching-a quasi-static routing scheme for large-scale ATM packet switches
IEEE Journal on Selected Areas in Communications
Linear-complexity algorithms for QoS support in input-queued switches with no speedup
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
| Hi-index | 5.23 |
Many applications need to solve the deadline guaranteed packet scheduling problem. However, it is a very difficult problem if three or more deadlines are present in a set of packets to be scheduled. The traditional approach to dealing with this problem is to use EDF (Earliest Deadline First) or similar methods. Recently, a non-EDF based algorithm was proposed that constantly produces a higher throughput than EDF-based algorithms by repeatedly finding an optimal scheduling for two classes. However, this new method requires the two classes be non-overloaded, which greatly restricts its applications. Since the overloaded situation is not avoidable from one iteration to the next in dealing with multiple classes, it is compelling to answer the open question: Can we find an optimal schedule for two overloaded classes efficiently? This paper first proves that this problem is NP-complete. Then, this paper proposes an optimal preprocessing algorithm that guarantees to drop a minimum number of packets from the two classes such that the remaining set is non-overloaded. This result directly improves on the new method.