Traffic Engineering an Operational Network with the TOTEM Toolbox

Balon, Simon; Lepropre, Jean; Skivée, Fabian; Leduc, Guy

doi:10.1109/tnsm.2007.030105

Cited by 16 publications

(12 citation statements)

References 11 publications

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“…In order to evaluate the performance of AMPLE, we use the real topologies and traffic traces from the GEANT and Abilene networks that are provided by the TOTEM Project [10]. We present results based on a 7-day long traffic traces dataset.…”

Section: Resultsmentioning

confidence: 99%

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AMPLE: an adaptive traffic engineering system based on virtual routing topologies

Wang

Pavlou

2012

IEEE Commun. Mag.

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-Handling traffic dynamics in order to avoid network congestion and subsequent service disruptions is one of the key tasks by contemporary network management systems. Given the simple but rigid routing and forwarding functionalities in IP base environments, efficient resource management and control solutions against dynamic traffic conditions is still yet to be obtained. In this article, we introduce AMPLE -an efficient traffic engineering and management system that performs adaptive traffic control by using multiple virtualized routing topologies. The proposed system consists of two complementary components: offline link weight optimization that takes as input the physical network topology and tries to produce maximum routing path diversity across multiple virtual routing topologies for long term operation through the optimized setting of link weights. Based on these diverse paths, adaptive traffic control performs intelligent traffic splitting across individual routing topologies in reaction to the monitored network dynamics at short timescale. According to our evaluation with real network topologies and traffic traces, the proposed system is able to cope almost optimally with unpredicted traffic dynamics and, as such, it constitutes a new proposal for achieving better quality of service and overall network performance in IP networks.

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Section: Resultsmentioning

confidence: 99%

“…We present results based on a 7-day long traffic traces dataset. Although the dataset in [10] provides traffic traces measured every 5 minutes, for consistency with the GEANT scenario, we also use 7-day long traffic matrices at the interval of every 15 minutes. In this article we compare the following optimization methods:…”

Section: Resultsmentioning

confidence: 99%

AMPLE: an adaptive traffic engineering system based on virtual routing topologies

Wang

Pavlou

2012

IEEE Commun. Mag.

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“…The traffic matrices have been derived every 15 minutes for several months. We present results based on a 7-day long traffic matrices dataset obtained from the TOTEM Project [17]. The Abilene network topology contains 12 nodes and 30 links, most of which are OC192, but the link between Indianapolis and Atlanta has 2.5Gbps capacity.…”

Section: Experiments Setupmentioning

confidence: 99%

“…We use the TOTEM toolbox [17] to compute a set of link weights for multiple traffic matrices. The objective is to make the IGP TE robust to traffic demand uncertainty.…”

Section: Multi-tmmentioning

confidence: 99%

Adaptive Multi-topology IGP Based Traffic Engineering with Near-Optimal Network Performance

Wang

Pavlou

2008

NETWORKING 2008 Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet

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Abstract. In this paper we present an intelligent multi-topology IGP (MT-IGP) based intra-domain traffic engineering (TE) scheme that is able to handle unexpected traffic fluctuations with near-optimal network performance. First of all, the network is dimensioned through offline link weight optimization using Multi-Topology IGPs for achieving maximum path diversity across multiple routing topologies. Based on this optimized MT-IGP configuration, an adaptive traffic engineering algorithm performs dynamic traffic splitting adjustment for balancing the load across multiple routing topologies in reaction to the monitored traffic dynamics. Such an approach is able to efficiently minimize the occurrence of network congestion without the necessity of frequently changing IGP link weights that may cause transient forwarding loops and routing instability. Our experiments based on real network topologies and traffic matrices show that our approach has a high chance of achieving nearoptimal network performance with only a small number of routing topologies.

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“…We also analyzed the recommendations from routers vendors such as [10], [11], [12], [13] as well as configuration problems found by tools such as rcc [7], minerals [6] and others [5], [14], [15], [16]. Based on this survey, we found that most of the objectives, and in particular the low-level ones, could be expressed by using three main different patterns : presence (and non-presence), uniqueness and symmetry.…”

Section: A Patterns Of Configuration Objectivesmentioning

confidence: 99%

Towards validated network configurations with NCGuard

Vanbever

Pardoen

Bonaventure

2008

2008 IEEE Internet Network Management Workshop (INM)

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Abstract-Today, most IP networks are still configured manually on a router-by-router basis. This is error-prone and often leads to misconfiguration. In this paper, we describe the Network Configuration Safeguard (NCGuard), a tool that allows the network architect to apply a safer methodology. The first step is to define his design rules. Based on a survey of the networking literature, we classify the most common types of rules in three main patterns: presence, uniqueness and symmetry and provide several examples. The second step is to write a highlevel representation of his network. The third step is to validate the network representation and generate the configuration of each router. This last step is performed automatically by our prototype. Finally, we describe our prototype and apply it to the Abilene network.

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Traffic Engineering an Operational Network with the TOTEM Toolbox

Cited by 16 publications

References 11 publications

AMPLE: an adaptive traffic engineering system based on virtual routing topologies

AMPLE: an adaptive traffic engineering system based on virtual routing topologies

Adaptive Multi-topology IGP Based Traffic Engineering with Near-Optimal Network Performance

Towards validated network configurations with NCGuard

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