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Delay-Constrained Input-Queued Switch.

Authors :
Deng, Lei
Wong, Wing Shing
Chen, Po-Ning
Han, Yunghsiang S.
Hou, Hanxu
Source :
IEEE Journal on Selected Areas in Communications; Nov2018, Vol. 36 Issue 11, p2464-2474, 11p
Publication Year :
2018

Abstract

In this paper, we study the delay-constrained input-queued switch, where each packet has a deadline and it will expire if it is not delivered before its deadline. Such new scenario is motivated by the proliferation of real-time applications in multimedia communication systems, tactile Internet, networked controlled systems, and cyber-physical systems. The delay-constrained input-queued switch is completely different from the well-understood delay-unconstrained one and thus poses new challenges. We focus on three fundamental problems centering around the performance metric oftimely throughput: (i) how to characterize the capacity region? (ii) how to design a feasibility/throughput-optimal scheduling policy? and (iii) how to design a network-utility-maximization scheduling policy? We use three different approaches to solve these three fundamental problems. The first approach is based on Markov Decision Process (MDP) theory, which can solve all three problems. However, it suffers from the curse of dimensionality. The second approach breaks the curse of dimensionality by exploiting the combinatorial features of the problem. It gives a new capacity region characterization with only a polynomial number of linear constraints. The third approach is based on the framework of Lyapunov optimization, where we design a polynomial-time maximum-weight $T$ -disjoint-matching scheduling policy which is proved to be feasibility/throughput-optimal. Our three approaches apply to the frame-synchronized traffic pattern but our MDP-based approach can be extended to more general traffic patterns. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07338716
Volume :
36
Issue :
11
Database :
Complementary Index
Journal :
IEEE Journal on Selected Areas in Communications
Publication Type :
Academic Journal
Accession number :
133371148
Full Text :
https://doi.org/10.1109/JSAC.2018.2874110