Abstract

With the development of optical networks technology, broad attention has been paid to flexible grid technology in optical networks due to its ability to carry large-capacity information as well as provide flexible and fine-grained services through on-demand spectrum resource allocation. However, a one-time green-field deployment of a flexible grid network may not be practical. The transition technology called the fixed/flex-grid optical networks is more applicable and highly pragmatic. In such network, many nodes would likely be upgraded from a fixed-grid to flex-grid. In fact, dynamic service provisioning during the process of a node upgrade in fixed/flex-grid optical networks have become a challenge because the service connection can be easily interrupted, which leads to considerable data loss because of node upgrade. To overcome this challenge, we propose a brown-field migration aware routing and spectrum assignment (BMA-RSA) algorithm in fixed/flex-grid optical networks. The aim is to construct a probabilistic migration label (PML) model. The well-designed label setting of PML can balance the relationship between distance and node-upgrade probability. Dynamic service provisioning operations are undertaken based on the PML model to achieve a migration-aware dynamic connection before network migration occurs. We also evaluate the performance of different service provisioning strategies under different traffic models. The simulation results show that the BMA-RSA algorithm can achieve: (1) the tradeoff between distance and node upgrade probability during the process of service provisioning; (2) lower service interruption compared with the traditional non-migration aware K-shortest-path routing and spectrum assignment algorithm.

Highlights

  • With the expansion of network scale and the continuous emergence of high-traffic services, such as data center services and cloud-based services [1,2,3], explosive traffic carried by the optical networks has led to an urgent demand for bandwidth resources

  • The major contributions of this work are two-fold: (1) we describe the probabilistic migration label model (PML) to establish the relationship between link distance and node upgrade (2) and we devise a brown-field migration-aware routing and spectrum assignment (BMA-RSA) algorithm to provide migrationaware dynamic service provisioning upon service arrival

  • Based on the constructed probabilistic migration label model, we proposed a PMLbased brown-field migration aware routing and spectrum assignment (BMA-RSA) algorithm to provide migration-aware dynamic connection provisioning before network migration begins in optical networks, evolving from fixed-grid to flexgrid, which can greatly reduce the interruption of services

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Summary

Introduction

With the expansion of network scale and the continuous emergence of high-traffic services, such as data center services and cloud-based services [1,2,3], explosive traffic carried by the optical networks has led to an urgent demand for bandwidth resources. Compared with the fixed-grid wavelength division multiplexing (WDM) optical networks, the emerging optical networks architecture, which is based on flexible-grid technology, can overcome the limitation of rigid capacity for optical channel and provide efficient on-demand spectrum allocation with fine granularity spectrum slots, such as 12.5 GHz [9], which can greatly improve spectrum resource utilization [10,11]. Flex-grid optical networks abandon the wavelength constraints, and provide more flexible and fine-grained services through on-demand spectrum resources allocation and the adaptive selection of modulation formats compared with fixed-grid optical networks. The major contributions of this work are two-fold: (1) we describe the probabilistic migration label model (PML) to establish the relationship between link distance and node upgrade (2) and we devise a brown-field migration-aware routing and spectrum assignment (BMA-RSA) algorithm to provide migrationaware dynamic service provisioning upon service arrival.

Related Work
Problem Statement
Subsection Probabilistic Migration Label Model
Brown-Field Migration Aware Routing and Spectrum Assignment Algorithm
Performance Evaluation and Analysis
Findings
Conclusions
Full Text
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