In this paper we introduce a congestion control method suitable for Carrier Ethernet / Metro Ethernet Networks. Ethernet is considered to replace ATM as provider access aggregation network technology due to its cost efficiency, but it still lacks many necessary features to provide Quality of Service (QoS) as required from carrier-grade networks. This congestion control method is based on network potentials, which is a new concept to make the network traffic load aware and to implicitly prevent overload situations. Network potentials are scalar measures for the ability of the network to carry traffic of QoS services.
The network infrastructure within the Access and Aggregation domains of provider networks are subject to significant changes, both in technology as well as in their business model. Recently, a number of research initiatives, most notably MUSE and PlaNetS, have promoted the development of a unified broadband access and aggregation network platform. It is based on Ethernet and features various access technologies such as DSL, WiMAX, etc. End-to-end-communication is based on IPv6, and the communication procedures within the Ethernet domain ensures, that QoS is provided and maintained for the IP-layer. Important functions to ensure the IPv6-communication with the necessary QoS-properties are implemented autonomously, e.g. the extended IEEE 802. IX AAA and the resource admission and control functions (RACF).
In this paper we will introduce a congestion control method suitable for Carrier Ethernet Networks. Ethernet is seen as a replacement technology to ATM for provider access aggregation networks due to its cost efficiency, but it still lacks many necessary features to provide Quality of Service (QoS) as required from carrier-grade networks. This congestion control method is based on network potentials, which is a new concept to make the network traffic load aware and to implicitly prevent overload situations. Network potentials are scalar measures of the the network's ability to carry traffic of services demanding QoS. We will compare this method with explicit resource reservation methods such as budget-based network admission control methods.
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