On the problem of capacity allocation and flow assignment in self-healing ATM networks

Woungang, Isaac; Misra, Sudip; Obaidat, Mohammad S.

doi:10.1016/j.comcom.2007.05.043

Cited by 6 publications

(3 citation statements)

References 23 publications

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“…In [18], the issue of choosing backup virtual paths on the optimized spare capacity allocation was discussed. The authors compared four Spare Capacity Allocation (SCA) design schemes quantitatively in terms of spare capacity requirements.…”

Section: Related Workmentioning

confidence: 99%

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A Nonlinear Model for the Optimal Capacity Placement in Self-Healing ATM Networks Based on Link Restoration Strategy

Alam¹

2023

Preprint

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Network Survivability is a critical issue in telecommunications network due to increasing dependence of the society on communication systems. Fast restoration from a network failure is an important challenge that deserves attention. This thesis addresses an optimal link capacity design problem for survivable asynchronous transfer mode (ATM) network based on the link restoration strategy. Given a projected traffic demands and the network topology, capacity and flow assignment are jointly optimized to yield the optimal capacity placement. The problem is formulated as large-scale nonlinear programming and is solved using a specific type of Lagrange method (so called Separable Augmented Lagrangian Algorithm or SALA for short). Several networks with diverse topological characteristics are used in the experiments to validate our proposed novel model, using capacity installation cost, routing cost, total network cost, used capacity and required CPU time, as performance metrics. Link restoration strategy is compared against global reconfiguration strategy using these performance metrics.

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Section: Related Workmentioning

confidence: 99%

“…18: Total Network Cost (in Dollars) for Link vs. Global Reconfiguration Strategy using symmetric traffic Total Network Cost (in Dollars) for Link vs.…”

mentioning

confidence: 99%

A Nonlinear Model for the Optimal Capacity Placement in Self-Healing ATM Networks Based on Link Restoration Strategy

Alam¹

2023

Preprint

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“…As such, the already installed ATM core resource management features must be reused as a particular implementation of GMPLS, either directly or with some adaptations. Among such transferable research works are studies related to the problem of capacity allocation and flow assignment in self-healing ATM networks [8]. In our thesis, we aim to address this problem by proposing and implementing two mathematical models.…”

Section: Current Transport Control Planementioning

confidence: 99%

Optimal Capacity and Flow Assignment for Self-Healing ATM Networks Based on Path Restoration: Nonlinear Models

Khandaker¹

2023

Preprint

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This thesis addresses the design of self-healing Asynchronous Transfer Mode (ATM) networks which is a special aspect of a more general problem, referred to as capacity and flow assignment (CFA) problem in self-healing ATM networks. We have proposed two nonlinear mathematical models for global reconfiguration strategy and failure-oriented reconfiguration strategy in our thesis. Our restoration strategies aim to minimize the capacity installation cost and the routing cost when a single link failure occurs in the network. A special case of the augmented Lagrangian method so-called Separable Augmented Lagrangian Algorithm (SALA) is proposed for solving the proposed nonlinear mathematical models. Numerical results are presented comparing the two restoration strategies in terms of five performance metrics which are capacity installation cost, total required capacity, routing cost, total network cost and required CPU time for convergence of the algorithms. Our results show that the global reconfiguration strategy has always performed better than the failure-oriented reconfiguration strategy for all the network scenarios, topologies and bandwidth requirements.

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Survivable ATM mesh networks: Techniques and performance evaluation

Woungang

Denko

et al. 2010

Journal of Systems and Software

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On the problem of capacity allocation and flow assignment in self-healing ATM networks

Cited by 6 publications

References 23 publications

A Nonlinear Model for the Optimal Capacity Placement in Self-Healing ATM Networks Based on Link Restoration Strategy

A Nonlinear Model for the Optimal Capacity Placement in Self-Healing ATM Networks Based on Link Restoration Strategy

Optimal Capacity and Flow Assignment for Self-Healing ATM Networks Based on Path Restoration: Nonlinear Models

Survivable ATM mesh networks: Techniques and performance evaluation

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