Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
SIAM Journal on Computing
Profile-Based Routing: A New Framework for MPLS Traffic Engineering
COST 263 Proceedings of the Second International Workshop on Quality of Future Internet Services
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
IEEE Communications Magazine
Quality-of-service routing for supporting multimedia applications
IEEE Journal on Selected Areas in Communications
IEEE Network: The Magazine of Global Internetworking
RATES: a server for MPLS traffic engineering
IEEE Network: The Magazine of Global Internetworking
IP network configuration for intradomain traffic engineering
IEEE Network: The Magazine of Global Internetworking
A policy-based quality of service management system for IP DiffServ networks
IEEE Network: The Magazine of Global Internetworking
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Given the emergence of IP networks and the Internet as the multiservice network of the future, it is plausible to consider its use for transporting demanding traffic with high bandwidth and low delay and packet loss requirements. Emerging technologies for scalable quality of service such as Differentiated Services and MPLS can be used for premium quality traffic. We are looking at the problem of intra-domain provisioning in an automated manner from an Internet Service Provider's (ISPs) point of view, i.e. we want to satisfy the contracts with our customers while optimising the use of the network resources. We need to be able to dynamically guide the behaviour of such an automated provisioning system in order to be able to meet the high-level business objectives. The emerging policy-based management paradigm is the means to achieve this requirement. In this paper we devise first a non-linear programming formulation of the traffic engineering problem and show that we can achieve the objectives and meet the requirements of demanding customer traffic through the means of an automated provisioning system. We extend the functionality of the automated system through policies. We define resource provisioning policies, and we present example scenarios of their enforcement.