Survivable automatic hidden bypasses in Software-Defined Networks

The paper focuses on the problem of effective and resilient network resources management under condition of increasing Internet traffic. Multilayer automatic optical networks are considered as a solution usually indicated as the most appropriate for the future Internet. In this paper, we propose a S...

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Bibliographic Details
Published in:Computer networks (Amsterdam, Netherlands : 1999) Netherlands : 1999), 2018-03, Vol.133, p.73-89
Main Authors: Borylo, Piotr, Domzal, Jerzy, Wójcik, Robert
Format: Article
Language:English
Subjects:
Bypass
Bypasses
Computer networks
Failure
Internet
Multilayers
Network reliability
Optical
Optical communication
Resilience
Resource management
Restoration
Software
Software reliability
Software-defined networking
Survivability
Telecommunications
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Summary:The paper focuses on the problem of effective and resilient network resources management under condition of increasing Internet traffic. Multilayer automatic optical networks are considered as a solution usually indicated as the most appropriate for the future Internet. In this paper, we propose a Survivable Automatic Hidden Bypasses approach to enhance resource utilization and reliability in multilayer optical networks. Our solution uses the Software-Defined Networking concept to automatically create or remove hidden bypasses which are not visible at the network layer. We propose a novel survivability metric which is applied during optical bypass creation in order to handle network failures in a proactive manner. Such an approach contrasts with the most common one where bypasses are considered as a mechanism to handle network failures. We combine the metric with different restoration schemas and investigate the proposed mechanism under three failure scenarios. The mechanism of hidden bypasses increases throughput and reduces transmission delays while novel proactive survivability mechanisms neutralize negative impact of network failures.
ISSN:1389-1286
1872-7069
DOI:10.1016/j.comnet.2018.01.022