A scalable intra-domain resource management architecture for DiffServ networks
Journal of High Speed Networks
Policy based on-demand bandwidth provisioning and assurance in DiffServ enabled MPLS networks
PDCN'06 Proceedings of the 24th IASTED international conference on Parallel and distributed computing and networks
Bandwidth Management for Supporting Differentiated Service Aware Traffic Engineering
IEEE Transactions on Parallel and Distributed Systems
Incremental provision of QoS guarantees using only available QoS-aware routers
Proceedings of the 4th international IFIP/ACM Latin American conference on Networking
An open source traffic engineering toolbox
Computer Communications
Incremental provision of QoS discarding non-feasible end-to-end paths
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
BiRSM: bio-inspired resource self-management for all IP-networks
IEEE Network: The Magazine of Global Internetworking - Special issue on biologically inspired networking
Autonomic network resource management using virtual network concept
APNOMS'07 Proceedings of the 10th Asia-Pacific conference on Network Operations and Management Symposium: managing next generation networks and services
B4: experience with a globally-deployed software defined wan
Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
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In this article an automated manager called traffic engineering automated manager (TEAM) for DiffServ/MPLS networks is introduced, and its design and implementation details are discussed. TEAM is designed for complete automated management of an Internet domain. TEAM is an adaptive manager that provides the required quality of service to the users and reduces the congestion in the network. The former is achieved by reserving bandwidth resources for the requests and the latter by distributing the load efficiently. These goals are achieved by online measurements of the network state. TEAM is composed of a traffic engineering tool (TET), which adaptively manages the bandwidth and routes in the network, a measurement and performance evaluation tool (MPET), which measures important parameters in the network and inputs them to the TET, and a simulation tool (ST), which may be used by TET to consolidate its decisions. These three tools work in synergy to achieve the desired network operation objectives. The experimental results demonstrate the efficiency of TEAM as a network manager in different and unpredictable traffic conditions at the expense of a limited increase in the computational complexity and costs.