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Delay-constrained routing problems: Accurate scheduling models and admission control
Affiliation:1. Dipartimento di Informatica, Università di Pisa, Largo B. Pontecorvo 3, 56127 Pisa, Italy;2. Dipartimento di Ingegneria dell’Informazione, Università di Pisa, Largo Lucio Lazzarino 1, 56122 Pisa, Italy;1. Department of Industrial Engineering, Universidad de Talca, Curicó, Chile;2. Department of Engineering and Sciences, Universidad Adolfo Ibáñez, Viña del Mar, Chile;1. Federal University of Ouro Preto Ouro Preto, MG, Brazil;2. State University of Rio de Janeiro Rio de Janeiro, RJ, Brazil;1. Warnell School of Forestry and Natural Resources, University of Georgia, GA, USA;2. Georgia Cooperative Fish and Wildlife Research Unit, GA, USA;3. U.S. Geological Survey, GA, USA;4. School of Computational Science and Engineering, Georgia Institute of Technology, GA, USA;1. Department of Industrial Engineering, Bilkent University, 06800 Bilkent, Ankara, Turkey;2. Department of Industrial Engineering, Koç University, Rumelifeneri Yolu, 34450 Sarıyer, İstanbul, Turkey
Abstract:As shown in [1], the problem of routing a flow subject to a worst-case end-to-end delay constraint in a packed-based network can be formulated as a Mixed-Integer Second-Order Cone Program, and solved with general-p‘urpose tools in real time on realistic instances. However, that result only holds for one particular class of packet schedulers, Strictly Rate-Proportional ones, and implicitly considering each link to be fully loaded, so that the reserved rate of a flow coincides with its guaranteed rate. These assumptions make latency expressions simpler, and enforce perfect isolation between flows, i.e., admitting a new flow cannot increase the delay of existing ones. Other commonplace schedulers both yield more complex latency formulæ and do not enforce flow isolation. Furthermore, the delay actually depends on the guaranteed rate of the flow, which can be significantly larger than the reserved rate if the network is unloaded. In this paper we extend the result to other classes of schedulers and to a more accurate representation of the latency, showing that, even when admission control needs to be factored in, the problem is still efficiently solvable for realistic instances, provided that the right modeling choices are made.
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