Low cost fiber-to-the-node access network design

Cobo, Luis; Chamberland, Steven; Ntareme, Annick

doi:10.1109/netwks.2012.6381672

Cited by 7 publications

(5 citation statements)

References 8 publications

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“…In total, the designs constituted of 200 different FTTH OANs, which varied in terms of their dimensions and capacities. 4 General statistics concerning the test cases can be found in Table 2. The testing methodology was as follows.…”

Section: Testing Methodologymentioning

confidence: 99%

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MIP model for efficient dimensioning of real-world FTTH trees

2017

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We propose a mixed-integer programming (MIP) formulation for a problem of optimal dimensioning of equipment of the fiber-to-the-home optical access network (FTTH-OAN). The optimization aims at minimizing capital expenditures (CAPEX) related to deployment of the FTTH-OAN, i.e., the cost of active equipment (OLTs and OLT cards), cost of passive equipment (optical splitters, cables, fibers, fibers terminations, splices, closures), cost of site preparations (building, cabinets), and cost of necessary labor (duct preparation and rollout of cables). The formulation has been implemented and validated. General results based on selected real-world scale numerical experiments are presented.

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Section: Testing Methodologymentioning

confidence: 99%

“…Moreover, only one OLT location is considered in their model. Another example is [4], in which the split ratio is not considered. Certainly, MIP models can be very detailed.…”

Section: Related Workmentioning

confidence: 99%

MIP model for efficient dimensioning of real-world FTTH trees

2017

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“…This work considers only upstream flow of data, as a downlink traffic is negligent. It is worth noting that other access network technologies such as Asymmetric digital subscriber line (ASDL), which has limited frequency bands, and Fiber to Node (FTTN) [24] [25] which incorporates copper and fiber optic, do exist, however will not be considered as GPON is adopted for the BT 21CN.…”

Section: A Cloud-to-fog Network Designmentioning

confidence: 99%

Energy Efficient Virtual Machines Placement Over Cloud-Fog Network Architecture

2020

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Fog computing is an emerging paradigm that aims to improve the efficiency and QoS of cloud computing by extending the cloud to the edge of the network. This paper develops a comprehensive energy efficiency analysis framework based on mathematical modeling and heuristics to study the offloading of virtual machine (VM) services from the cloud to the fog. The analysis addresses the impact of different factors including the traffic between the VM and its users, the VM workload, the workload versus number of users profile and the proximity of fog nodes to users. Overall, the power consumption can be reduced if the VM users' traffic is high and/or the VMs have a linear power profile. In such a linear profile case, the creation of multiple VM replicas does not increase the computing power consumption significantly (there may be a slight increase due to idle / baseline power consumption) if the number of users remains constant, however the VM replicas can be brought closer to the end users, thus reducing the transport network power consumption. In our scenario, the optimum placement of VMs over a cloud-fog architecture significantly decreased the total power consumption by 56% and 64% under high user data rates compared to optimized distributed clouds placement and placement in the existing AT&T network cloud locations, respectively.

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“…Moreover, only one OLT location was considered in their model. An additional example is [9], in which the split ratio was not considered. Obviously, even IP models can be very detailed.…”

Section: Related Workmentioning

confidence: 99%

Profitable areas in large-scale FTTH network optimization

2015

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We present an optimization platform for Fiberto-the-Home network design. The platform is capable of minimizing the capital expenditures (CAPEX) of network deployment by optimizing locations of optical equipment, signal splitters and cable cabinets, optimizing cable routes and types of cables as well as the number and types of optical cards and splitters. We present the architecture of the platform, the design process it implements, and the algorithms it deploys. The platform is used to indicate the parts of the design process that require complex optimization with dedicated algorithms and those that can be left to appropriately crafted engineering rules. We indicate that while keeping the computation time acceptable, much of the CAPEX savings can be obtained when locations of optical equipment are thoroughly optimized, cable routes are determined with plain engineering rules, and finally, signal splitting patterns are optimized carefully to lower the fiber count and thus the cost of cables.

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Low cost fiber-to-the-node access network design

Cited by 7 publications

References 8 publications

MIP model for efficient dimensioning of real-world FTTH trees

MIP model for efficient dimensioning of real-world FTTH trees

Energy Efficient Virtual Machines Placement Over Cloud-Fog Network Architecture

Profitable areas in large-scale FTTH network optimization

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