MILP Formulation

Accepted paper for presentation in IFIP Networking 2018

An M:N Shared Regenerator Protection Scheme in Translucent WDM Networks by Elias A. Doumith and Sawsan Al Zahr.

Abstract: Most studies addressing translucent network design targeted a tradeoff between minimizing the number of deployed regenerators and minimizing the number of regeneration nodes. The latter highly depends on the carrier’s strategy and is motivated by various considerations such as power consumption, maintenance and supervision costs. However, concentrating regenerators into a small number of nodes exposes the network to a high risk of data loss in the eventual case of regenerator pool failure. In this paper, we address the problem of survivable translucent network design taking into account the simultaneous effect of four transmission impairments. We propose an exact approach based on a mathematical formulation to solve the problem of regenerator placement while ensuring the network survivability in the hazardous event of a regenerator pool failure. For this purpose, for each accepted request requiring regeneration, we determine several routing paths along with associated valid wavelengths going through different regeneration nodes. In doing so, we implement an M:N shared regenerator protection scheme. Simulation results highlight the gain obtained by reducing the number of regeneration nodes without sacrificing network survivability.

Accepted paper for presentation in Globecom 2017

Advanced Demand Response Considering Modular and Deferrable Loads Under Time-Variable Rates by Sawsan Al Zahr, Elias A. Doumith, and Philippe Forestier.

Abstract: As the global energy policy is changing from a demand-driven to a supply-driven approach, demand side management (DSM) is becoming a key component of future energy systems. Indeed, it helps power grids’ operators to balance the demand for power with intermittent renewable energy sources such as wind and solar units. DSM consists in optimizing/adapting the power consumption to meet the production through various methods such as improving the energy efficiency by using better equipment and materials, implementing demand response (DR) solutions, etc. DSM mechanisms do not necessarily reduce the total power consumption, but reshape the consumption pattern. Hence, DSM is expected to reduce the need for investments in networks and power plants in order to meet peak demands. In this paper, we propose an advanced DR solution for individual households. Considering a household equipped with various domestic loads, we aim at optimally scheduling the day-ahead power consumption under time-variable rates while taking advantage of modular and deferrable loads, e.g. electric vehicle. For this purpose, we propose an exact approach to solve the problem of energy management within a household under both system’s and user’s constraints. Our proposal is numerically validated through real-life scenarios, elaborated using an existing simulator of human behavior regarding power consumption.

From Network Planning to Traffic Engineering in Multi-layer Networks

From Network Planning to Traffic Engineering in Multi-layer Networks
From Network Planning to Traffic Engineering in Multi-layer Networks
A Focus on Grooming and Rerouting Strategies
Elias A. Doumith
LAP Lambert Academic Publishing
ISBN-13: 978-3-8465-2777-1
ISBN-10: 3846527777
EAN: 9783846527771

Abstract: High-performance transport networks are expected to support applications with various types of traffic flows (permanent, scheduled, bursty, and noisy). Since high-performance networks usually employ optical network infrastructures and since most applications require sub-wavelength bandwidth, several streams are groomed on the same wavelength. It is therefore important that such networks are designed in an optimal way in terms of cost while efficiently supporting these types of traffic. This book deals with the design and analysis of optical networks allowing for traffic engineering including grooming and rerouting functionalities. Both deterministic and random traffic scenarios are considered. Under deterministic traffic conditions, optimal as well as accurate heuristic approaches are developed for network design and operation. Under random traffic conditions, the dynamic routing and grooming problem is considered subject to the availability of free network resources. Several algorithms are developed to facilitate this provisioning problem. At last, rerouting techniques and their implementation are addressed in order to enhance network efficiency under specific traffic scenarios.

Keywords: Traffic Engineering, Network Design, Routing and Wavelength Assignment, Optimization Techniques, Traffic Grooming, Rerouting Strategies, Multi-layer Network, ILP Formulation, Meta-heuristic Approaches, Scheduled Traffic Demands, Random Traffic Demands

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