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

Wang, Ning; Ho, Kin-Hon; Pavlou, George

doi:10.1007/978-3-540-79549-0_57

Cited by 21 publications

(20 citation statements)

References 14 publications

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“…in-network management, between source nodes for coordination purposes, but not for direct traffic routing/forwarding. This adaptation process is performed in short-time scales, for instance, in the order of 5-10 minutes, which is in accordance with the common network monitoring interval [10] [18].…”

Section: A Overview and Main Featuresmentioning

confidence: 99%

“…Given their static nature, these off-line approaches can be well sub-optimal in the face of changing or unpredicted traffic demand. Furthermore, despite recent proposals for adaptive TE [10][14] [15], network resource management normally relies on centralized managers that periodically compute new configurations according to dynamic traffic behaviors. These centralized approaches have limitations especially in terms of scalability (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…[12][13] and online IP-based TE, e.g. [10][14] [15]. In all these approaches, the volume of traffic (represented by splitting ratio) assigned to several available paths between each S-D pair in the network is dynamically adjusted according to network conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Obtaining the desired virtual topologies in more complex and realistic topologies, where each S-D pair has to be taken into account, is not straightforward. Research work in [5][9] [10] where MT principles are used for intra-domain off-line or online TE, shows that good path diversity can be achieved with only a small number of topologies e.g. three.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

DACoRM: A coordinated, decentralized and adaptive network resource management scheme

Tuncer

Charalambides

Pavlou

et al. 2012

2012 IEEE Network Operations and Management Symposium

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Abstract-In order to meet the requirements of emerging demanding services, network resource management functionality that is decentralized, flexible and adaptive to traffic and network dynamics is of paramount importance. In this paper we describe the main mechanisms of DACoRM, a new intra-domain adaptive resource management approach for IP networks. Based on path diversity provided by multi-topology routing, our approach controls the distribution of traffic load in the network in an adaptive manner through periodical re-configurations that uses real-time monitoring information. The re-configuration actions performed are decided in a coordinated fashion between a set of source nodes that form an in-network overlay. We evaluate the overall performance of our approach using realistic network topologies. Results show that near-optimal network performance in terms of resource utilization can be achieved in scalable manner.

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Section: A Overview and Main Featuresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

DACoRM: A coordinated, decentralized and adaptive network resource management scheme

Tuncer

Charalambides

Pavlou

et al. 2012

2012 IEEE Network Operations and Management Symposium

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“…Our solution is based on an offline optimization algorithm for maximizing path diversity across multiple VRTs (see [1] for details) and our evaluation based on two operational networks shows good path diversity performance: only three VRTs are sufficient to avoid any critical link for the GEANT network topology, while the Abilene topology needs four VRTs to achieve the same goal. As we will show in Section 4, even without necessarily creating high path diversity for every S-D pair, there is a high chance of achieving near-optimal TE performance based on the MT-IGP link weight setting in OLWO.…”

Section: Offline Link Weight Optimizationmentioning

confidence: 99%

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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Disruption-Free Link Wake-Up Optimisation for Energy Aware Networks

Okonor

Wang

Sun

et al. 2015

Intelligent Mechanisms for Network Configuration and Security

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Energy efficiency has become a major research topic in the Internet community as a result of unprecedented rise in the Information and Communication Technology (ICT) sector. One typical approach towards energy efficiency is to select a subset of IP routers or interfaces that will go to sleep mode during the off-peak period. However, on-the-fly network reconfiguration is generally deemed harmful especially to real time packets due to routing reconvergence. In this paper, we develop an efficient algorithm for achieving energy efficiency which is disruption free. The objective is to incrementally wake up sleeping links upon the detection of increased traffic demand. Unlike normal approaches of manipulating link weights or reverting to full topology in case of even minor network congestion and thereby sacrificing energy savings, our algorithm wakes up the minimum number of sleeping links to the network in order to handle this dynamicity. The performance of our algorithm was evaluated using the GEANT network topology and its traffic traces over a period of one week. According to our simulation results, up to almost 47% energy gains can be achieved without any obstruction to the network performance. Secondly, we show that the activation of a small number of sleeping links is still sufficient to cope with the observed traffic surge. Scheme DescriptionBefore presenting the generic algorithm, we first illustrate the core underlying principle using the synthetic network topology in Fig. 1.

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

Cited by 21 publications

References 14 publications

DACoRM: A coordinated, decentralized and adaptive network resource management scheme

DACoRM: A coordinated, decentralized and adaptive network resource management scheme

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

Disruption-Free Link Wake-Up Optimisation for Energy Aware Networks

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