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Träfflista för sökning "WFRF:(Natalino Carlos Dr. 1987 ) srt2:(2018)"

Search: WFRF:(Natalino Carlos Dr. 1987 ) > (2018)

  • Result 1-10 of 12
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1.
  • Araujo, Igor M., et al. (author)
  • Accelerating VNF-based Deep Packet Inspection with the use of GPUs
  • 2018
  • In: 2018 20TH ANNIVERSARY INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON). - : Institute of Electrical and Electronics Engineers (IEEE). - 9781538666050
  • Conference paper (peer-reviewed)abstract
    • Network Function Virtualization (NFV) replaces the hardware that supports packet processing in network operation from specific-by general-purpose ones, reducing costs and bringing more flexibility and agility to the network operation. However, this shift can cause performance losses due to the non-optimal packet processing capabilities of the general-purpose hardware. Moreover, supporting the line rate of optical network channels with Virtualized Network Functions (VNFs) is a challenging task. This work analyzes the benefits of using Graphics Processing Units (GPUs) to support the execution of a Deep Packet Inspection (DPI) VNF towards supporting the line rate of an optical channel. The use of GPUs in VNFs has a great potential to increase throughput, but the delay incurred might be an issue for some functions. Our simulation was performed using an Intrusion Detection Systems (IDS) which performs DPI deployed as a VNF under real-world traffic scaled to high bit rates. Results show that the packet processing speedup achieved by using GPUs can reach up to 19 times, at the expense of a higher packet delay.
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2.
  • Chiaraviglio, Luca, et al. (author)
  • Optimal Design of 5G Networks in Rural Zones with UAVs, Optical Rings, Solar Panels and Batteries
  • 2018
  • In: 2018 20TH ANNIVERSARY INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS (ICTON). - : Institute of Electrical and Electronics Engineers (IEEE). - 9781538666050
  • Conference paper (peer-reviewed)abstract
    • We focus on the problem of designing a 5G network architecture to provide coverage in rural areas. The proposed architecture is composed of 5G Base Stations carried by Unmanned Aerial Vehicles (UAVs), and supported by ground sites interconnected through optical fiber links. We also consider the dimensioning of each site in terms of the number of Solar Panels (SPs) and batteries. We then formulate the problem of cost minimization of the aforementioned architecture, by considering: i) the cost for installing the sites, ii) the costs for installing the SPs and the batteries in each site, iii) the costs for installing the optical fiber links between the installed sites, and iv) the scheduling of the UAVs to serve the rural areas. Our results, obtained over a representative scenario, reveal that the proposed solution is effective in limiting the total costs, while being able to ensure the coverage over the rural areas.
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3.
  • Dobrijevic, O., et al. (author)
  • Another price to pay : An availability analysis for SDN virtualization with network hypervisors
  • 2018
  • In: Proceedings of 2018 10th International Workshop on Resilient Networks Design and Modeling, RNDM 2018. - : Institute of Electrical and Electronics Engineers Inc.. - 9781538670309
  • Conference paper (peer-reviewed)abstract
    • Communication networks are embracing the software defined networking (SDN) paradigm. Its architectural shift assumes that a remote SDN controller (SDNC) in the control plane is responsible for configuring the underlying devices of the forwarding plane. In order to support flexibility-motivated network slicing, SDN-based networks employ another entity in the control plane, a network hypervisor (NH). This paper first discusses different protection strategies for the control plane with NHs and presents the corresponding availability models, which assume possible failures of links and nodes in the forwarding plane and the control plane. An analysis of these protection alternatives is then performed so as to compare average control plane availability, average path length for the control communication that traverses NH, and infrastructure resources required to support them. Our results confirm the intuition that the NH introduction generally results in a reduction of the control plane availability, which stresses the need for appropriate protection. However, the availability achieved by each of the considered strategies is impacted differently by the node availability and the link failure probability, thus calling for a careful selection that is based on the infrastructure features.
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4.
  • Goscien, R., et al. (author)
  • Impact of high-power jamming attacks on SDM networks
  • 2018
  • In: 22nd Conference on Optical Network Design and Modelling, ONDM 2018 - Proceedings. - : Institute of Electrical and Electronics Engineers (IEEE). - 9783903176072 ; , s. 77-81
  • Conference paper (peer-reviewed)abstract
    • Space Division Multiplexing (SDM) is a promising solution to provide ultra-high capacity optical network infrastructure for rapidly increasing traffic demands. Such network infrastructure can be a target of deliberate attacks that aim at disrupting a large number of vital services. This paper assesses the effects of high-power jamming attacks in SDM optical networks utilizing Multi-Core Fibers (MCFs), where the disruptive effect of the inserted jamming signals may spread among multiple cores due to increased Inter-Core CrossTalk (ICo-XT). We first assess the jamming-induced reduction of the signal reach for different bit rates and modulation formats. The obtained reach limitations are then used to derive the maximal traffic disruption at the network level. Results indicate that connections provisioned satisfying the normal operating conditions are highly vulnerable to these attacks, potentially leading to huge data losses at the network level.
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5.
  • Natalino, Carlos, Dr. 1987-, et al. (author)
  • A Proactive Restoration Strategy for Optical Cloud Networks Based on Failure Predictions
  • 2018
  • In: 20th International Conference on Transparent Optical Networks, ICTON 2018. - : Institute of Electrical and Electronics Engineers (IEEE). - 9781538666050
  • Conference paper (peer-reviewed)abstract
    • Failure prediction based on the anomaly detection/forecasting is becoming a reality thanks to the introduction of machine learning techniques. The orchestration layer can leverage on this new feature to proactively reconfigure cloud services that might find themselves traversing an element that is about to fail. As a result, the number of cloud service interruptions can be reduced with beneficial effects in terms of cloud service availability. Based on the above intuition, this paper presents an orchestration strategy for optical cloud networks able to reconfigure vulnerable cloud services (i.e., the ones that would be disrupted if a predicted failure happens) before an actual failure takes place. Simulation results demonstrate that, with a single link failure scenario, proactive restoration can lead to up to 97% less cloud services having to be relocated. This result brings considerable benefits in terms of cloud service availability, especially in low load conditions. It is also shown that these improvements come with almost no increase in the cloud service blocking probability performance,i.e., resource efficiency is not impacted.
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6.
  • Natalino, Carlos, Dr. 1987-, et al. (author)
  • Field Demonstration of Machine-Learning-Aided Detection and Identification of Jamming Attacks in Optical Networks
  • 2018
  • In: European Conference on Optical Communication, ECOC. - : Institute of Electrical and Electronics Engineers (IEEE).
  • Conference paper (peer-reviewed)abstract
    • We develop a machine-learning-aided framework for detection and identification of optical network jamming signal attacks of varying intensities. Trained with data gathered in our field-deployed experimental setup, the approach achieves 93% accuracy on average over the considered attack scenarios.
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7.
  • Natalino, Carlos, Dr. 1987-, et al. (author)
  • Machine Learning Aided Orchestration in Multi-Tenant Networks
  • 2018
  • In: IEEE Photonics Society Summer Topicals Meeting Series, SUM 2018. - : Institute of Electrical and Electronics Engineers Inc.. - 9781538653432 ; , s. 125-126
  • Conference paper (peer-reviewed)abstract
    • Software Defined Networking enables the efficient sharing of a network infrastructure among different tenants, a concept known as network slicing. The paper presents a slicing strategy based on reinforcement learning able to efficiently orchestrate services requested by mobile and cloud tenants. 
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8.
  • Natalino, Carlos, Dr. 1987-, et al. (author)
  • Machine-learning-based routing of QoS-constrained connectivity services in optical transport networks
  • 2018
  • In: Optics InfoBase Conference Papers. - : Optical Society of America. - 9781557528209
  • Conference paper (peer-reviewed)abstract
    • Quality of Service (QoS) constraints are crucial in 5G networks. The paper presents a provisioning strategy for connectivity services with different priorities based on reinforcement learning able to accommodate QoS requirements while maximizing provider profits.
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9.
  • Natalino, Carlos, Dr. 1987-, et al. (author)
  • On the trade-offs between user-to-replica distance and CDN robustness to link cut attacks
  • 2018
  • In: Proceedings of 2018 10th International Workshop on Resilient Networks Design and Modeling, RNDM 2018. - : Institute of Electrical and Electronics Engineers Inc.. - 9781538670309
  • Conference paper (peer-reviewed)abstract
    • Content Delivery Networks (CDNs) are a key enabler for geographically-distributed content delivery with high throughput and low latency. As CDNs utilize the underlying optical core network infrastructure, they inherit its vulnerability to targeted link cut attacks which can cause severe service degradation. One of the fundamental problems in CDN configuration is deciding on the placement of content replicas across the underlying network of data centers, which should obtain balance among multiple, often conflicting performance criteria. This paper investigates the implications of minimizing the average distance between the users and the content replicas on the CDN robustness to targeted link cuts.To this end, we compute Pareto-optimal replica placement solutions with minimal user-to-replica distance and maximal robustness to link cut attacks of the highest damaging potential. k-best replica placement solutions in terms of the user-to-replica distance are calculated by formulating the problem as an Integer Linear Programming (ILP) exact method. For each replica placement solution, the worst case link cut attack scenario is identified by defining the Critical Link Set Detection (CLSD) problem. CLSD returns the link set whose cutting disconnects the maximal number of nodes from the content. We develop an ILP model for the CLSD and evaluate the robustness of the resulting CDN attack scenario in terms of mean content accessibility. The approach is evaluated through extensive simulations on real-world reference topologies, indicating that it is possible to improve the robustness to link cuts at the expense of small user-to-replica distance penalties. Moreover, the improvement of robustness is more significant for topologies with smaller average node degree and when cuts involve a larger number of links.
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  • Result 1-10 of 12

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