MPLS and traffic engineering in IP networks

Awduche, D.

doi:10.1109/35.809383

Cited by 290 publications

(137 citation statements)

References 3 publications

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“…Congestion is often due to failure to adjust the traffic flow to the excess in the packet arrival rate relative to service rate in one or more network nodes. This excess leads to the imbalance in traffic at the network nodes, where a set of resources is overloaded, while another set of resources may be underutilized [3].…”

Section: A Traffic Congestionmentioning

confidence: 99%

Intelligent Network Client Profiler

Arsénio¹

2013

JACN

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Abstract-Peer2Peer traffic already accounts for a large share of the overall internet traffic. Future solutions will need to manage all the available resources in order to charge users using fair rules according to their communication profile. Obtaining information about the behavior of Internet traffic is therefore fundamental to the management, monitoring and operation activities, such as the identification of applications and protocols that customers use. However, the main obstacle to this identification is the lack of scalability for monitoring network devices. In particular, they can analyze all the network packets for this purpose. This task is extremely demanding and almost impossible to accomplish rapidly in large networks (because usually there is a number in the hundreds or thousands of customers). Furthermore, we expect such networks to become even larger, as on the internet of things all devices (sensors, appliances, etc) will be publicly connected to the internet. As such, traffic sampling strategies have been proposed to overcome this major problem of scale. This paper presents different works in the area of monitoring traffic for user profiling and security purposes. It proposes as well a solution that uses selective filtering techniques combined with an engine traffic DPI to identify applications and protocols that customers use most frequently. Thus it becomes possible to get ISPs to optimize their network in a scalable and intelligent manner, imposing security measures in order to enforce network usage according to client profiles.

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Section: A Traffic Congestionmentioning

confidence: 99%

Intelligent Network Client Profiler

Arsénio¹

2013

JACN

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“…In [5] the author discusses the applications of MPLS to traffic engineering in IP networks. An overlay model, based on IP over ATM is also discussed.…”

Section: Related Workmentioning

confidence: 99%

S-OSPF: A Traffic Engineering Solution for OSPF Based Best Effort Networks

Mishra

Sahoo

2007

IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference

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Abstract-Open Shortest Path First (OSPF) is one of the most widely used intra-domain routing protocol. It is well known that OSPF protocol does not provide flexibility in terms of packet forwarding to achieve any network optimization objective. Because of the high cost of network assets and commercial and competitive nature of Internet service provisioning, service providers are interested in performance optimization of their networks. This helps in reducing congestion hotspots and improving resource utilization across the network, which, in turn, results in an increased revenue collection. One way of achieving this is through Traffic Engineering. Currently traffic engineering is mostly done by using MPLS. But legacy networks running OSPF would need to be upgraded to MPLS. To achieve better resource utilization without upgrading OSPF network to MPLS is a challenge. In this paper we present a simple but effective algorithm, called Smart OSPF (S-OSPF) to provide traffic engineering solution in an OSPF based best effort network. We formulate an optimization problem based on the traffic demand to minimize the maximum link utilization in the network. Routing of the traffic demand is achieved using OSPF. We have simulated S-OSPF on real networks of two service providers. Simulation results show that S-OSPF based traffic engineering solution performance very closely follows the optimal solution.

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“…Such mechanisms include taking advantage of the routing information, monitoring the core DiffServ domain and developing a measurement platform that enable the RCL estimate and foresee the traffic loads, and therefore, take more effective decisions. Last but not least, a powerful technology that will be investigated in the context of this work, is the Multiprotocol Label Switching [21,22].…”

Section: Future Workmentioning

confidence: 99%

Design of a Multi-layer Bandwidth Broker Architecture

Politis

Sampatakos

Venieris

2000

Next Generation Networks. Networks and Services for the Information Society

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Internet is widely known for lacking any kind of mechanism for the provisioning of Quality of Service guarantees. The Internet community concentrates its efforts on the Bandwidth Broker architecture towards this problem. This paper presents a design model of a multi-layer Bandwidth Broker architecture that introduces a Resource Control Layer, which is divided into two sub-layers. The upper one is responsible for the overall network administration, while the lower one performs per-flow policy-based admission control. The design models, the mechanisms, and algorithms adopted in this architecture will be delineated.

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MPLS and traffic engineering in IP networks

Cited by 290 publications

References 3 publications

Intelligent Network Client Profiler

Intelligent Network Client Profiler

S-OSPF: A Traffic Engineering Solution for OSPF Based Best Effort Networks

Design of a Multi-layer Bandwidth Broker Architecture

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