Vulnerability of core networks under different epidemic attacks

Manzano, Marc; Torres-Padrosa, Victor; Calle, Eusebi

doi:10.1109/icumt.2012.6459776

Cited by 6 publications

(11 citation statements)

References 15 publications

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“…To do so, runs with different protection degrees and failure intensities such as low (10% of the nodes), medium (15%), and high/ severe (20%) have been made. These values have been selected for a heterogeneous connectivity with respect to failures in accordance with our previous analysis based on the average two-terminal reliability [27] of some of the networks [28,29]. This metric is the probability that a randomly chosen pair of nodes is connected for a given percentage of removed nodes.…”

Section: Resultsmentioning

confidence: 99%

Community‐based traffic preservation in telecommunication networks

Torres-Padrosa

Manzano

Calle

et al. 2013

Int J Communication

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Large-scale failures in telecommunication networks have been traditionally mitigated by attempting to preserve global connectivity in the network. However, although communication inside communities may be of high relevance, their preservation is a challenging task. To achieve this, we propose a new concept of community that combines not only the topological information of the network but also the traffic-level interaction. This new concept is then used to present six novel community-based strategies that, when working within a limited budget, are able to determine which are the best candidate nodes to protect. The strategies proposed have been tested over four different types of networks and have been compared with other well-known immunization or protection methods. Results show that community-based strategies better preserve the inner community traffic with respect to traditional approaches. Furthermore, in some cases, both global and intra-community traffic preservation is able to be improvedThis work is partly supported by the Spanish Ministerio de Ciencia e Innovacion through project RoGER (Robustness against large-scale failures in interdomain routing, TEC2012-32336), Juan de la Cierva subprogram grant no. JCI-2010-08322, and by the Generalitat de Catalunya through the Research Support Program project SGR-1202 and AGAUR FI-DGR 2012 gran

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Section: Resultsmentioning

confidence: 99%

Community‐based traffic preservation in telecommunication networks

Torres-Padrosa

Manzano

Calle

et al. 2013

Int J Communication

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“…Besides instigating failures randomly in the whole network, we also considered the scenario of the network-only node failure, as discussed in [33]. Another significant scenario to measure the system robustness is by introducing the targeted attacks [35], [36], [37]. In the targeted failures case, we considered the betweenness centrality of the nodes to introduce the node failures.…”

Section: Simulation Scenarios and Methodologiesmentioning

confidence: 99%

On the Characterization of the Structural Robustness of Data Center Networks

Bilal

Manzano

Khan

et al. 2013

IEEE Trans. Cloud Comput.

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Abstract-Data centers being an architectural and functional block of cloud computing are integral to the Information and Communication Technology (ICT) sector. Cloud computing is rigorously utilized by various domains, such as agriculture, nuclear science, smart grids, healthcare, and search engines for research, data storage, and analysis. A Data Center Network (DCN) constitutes the communicational backbone of a data center, ascertaining the performance boundaries for cloud infrastructure. The DCN needs to be robust to failures and uncertainties to deliver the required Quality-of-Service (QoS) level and satisfy service-level agreement (SLA). In this paper, we analyze robustness of the state-of-the-art DCNs. Our major contributions are: 1) we present multilayered graph modeling of various DCNs; 2) we study the classical robustness metrics considering various failure scenarios to perform a comparative analysis; 3) we present the inadequacy of the classical network robustness metrics to appropriately evaluate the DCN robustness; and 4) we propose new procedures to quantify the DCN robustness. Currently, there is no detailed study available centering the DCN robustness. Therefore, we believe that this study will lay a firm foundation for the future DCN robustness research.

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“…In our previous paper, we have conducted an analysis of the vulnerability of telecommunication networks subject to different epidemic attacks [22], implemented a discrete-event model for evaluating GMPLS-compliant failure notification methods under epidemic failures [23] and evaluated the propagation of epidemic CP failures [24]. In [21], Seoane et al look at the susceptible-infecteddisabled (SID) model in GMPLS rings and present a full set of numerical results, based on an analytical continuous time Markov chain model, analysing the epidemic failure spreading and its relation to the different transition rates.…”

Section: Wwwietdlorgmentioning

confidence: 99%

“…Second, for this 'target node', we can identify the most vulnerable nodes, which become 'hit' by the epidemic failure spreading most times. For these simulations MTTR CP =4h [4,22]. Fig.…”

Section: Epidemic Performance Evaluationmentioning

confidence: 99%

Resolving epidemic network failures through differentiated repair times

2015

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In this study, the authors investigate epidemic failure spreading in large-scale transport networks under generalised multi-protocol label switching control plane. By evaluating the effect of the epidemic failure spreading on the network, they design several strategies for cost-effective network performance improvement via differentiated repair times. First, they identify the most vulnerable and the most strategic nodes in the network. Then, via extensive event-driven simulations they show that strategic placement of resources for improved failure recovery has better performance than randomly assigning lower repair times among the network nodes. They believe that the event-driven simulation model can be highly beneficial for network providers, since it could be used during the network planning process for facilitating cost-effective network survivability design.

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Vulnerability of core networks under different epidemic attacks

Cited by 6 publications

References 15 publications

Community‐based traffic preservation in telecommunication networks

Community‐based traffic preservation in telecommunication networks

On the Characterization of the Structural Robustness of Data Center Networks

Resolving epidemic network failures through differentiated repair times

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