Failure recovery solutions using cognitive mechanisms based on software-defined optical network platform

Xu Zhang; Lei Guo; Weigang Hou; Qihan Zhang; Siqi Wang

doi:10.1117/1.OE.56.1.016107

9 January 2017 Failure recovery solutions using cognitive mechanisms based on software-defined optical network platform

Xu Zhang, Lei Guo, Weigang Hou, Qihan Zhang, Siqi Wang

Author Affiliations +

Optical Engineering, Vol. 56, Issue 1, 016107 (January 2017). https://doi.org/10.1117/1.OE.56.1.016107

Abstract

Fault tolerance is one of the most desirable properties in the optical network since a large amount of data will be lost if the failure recovery cannot be well achieved. The software-defined network is an innovative paradigm—which decouples the control module from the underlying data forwarding plane—to make fast decisions on detecting and restoring link failures. Therefore, we focus on failure recovery solutions based on software-defined optical networks. The out-of-band control mechanism is utilized for the communication between the controller and the data forwarding elements. We demonstrate the performance of the proposed solutions—including a failure detection scheme, a dynamic all pairs shortest paths algorithm, and a failure recovery application—based on our software-defined optical network platform. Experimental demonstration and numerical evaluation both show its overall feasibility and efficiency.

Citation Download Citation

Xu Zhang, Lei Guo, Weigang Hou, Qihan Zhang, and Siqi Wang "Failure recovery solutions using cognitive mechanisms based on software-defined optical network platform," Optical Engineering 56(1), 016107 (9 January 2017). https://doi.org/10.1117/1.OE.56.1.016107

Received: 27 October 2016; Accepted: 19 December 2016; Published: 9 January 2017

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available