SONA: Software Defined Optical Networks Slicing Architecture
Optical Transport Networks (OTNs) are composed of multiple devices. The configuration of these devices is manually done by system operators. Besides laborious and error-prone, this configuration also limits the client customization and configuration of the network. One way out of this lack of custom...
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Published in: | 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA) pp. 654 - 661 |
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Main Authors: | , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
01-03-2017
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Subjects: | |
Online Access: | Get full text |
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Summary: | Optical Transport Networks (OTNs) are composed of multiple devices. The configuration of these devices is manually done by system operators. Besides laborious and error-prone, this configuration also limits the client customization and configuration of the network. One way out of this lack of customization is the separation of control and data planes from these devices. The Software Defined Networks (SDNs) propose the separation of planes with the flexibility to create and manage applications by network operators, enabling this operators to reduce network cost by globally optimizing the network resources, reducing the staff needed to configure the network and enabling less service level agreement (SLA) violation. SDN can also help operators to maximize their profit by generating more revenue through mechanisms to increase availability, increase failure resiliency, maximizing throughput, fast dynamic reprovisioning and enabling network virtualization. The objective of this paper is to propose a Software Defined Optical Networks Slicing Architecture (SONA) that allows defining components such as topology manager, inventory manager, slice manager and path provisioner, enabling Optical Networks partitioning. It proved to be capable of managing an optical network, by managing network nodes inventory, managing different slices over the same physical network, provisioning a path on a given slice over the physical network. It had an excellent performance taking little time to provision paths, even with a large number of nodes, crucial for optical environments. |
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ISSN: | 1550-445X 2332-5658 |
DOI: | 10.1109/AINA.2017.58 |