Comparison of two optical-core networks

Blouin, Francois; Lee, Andrew; Beshai, M.

doi:10.1364/jon.1.000056

Cited by 34 publications

(2 citation statements)

References 6 publications

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“…In this paper, we consider the GSN capacity planning problem with a given topology. The topology design can greatly affect the cost and capacity allocation [9] and is an important problem for the GSN design and analysis, but this problem is beyond the scope of this paper. We outline two approaches for solving the GSN capacity planning problem.…”

Section: The Top Layer Carries Different Communication Services Usingmentioning

confidence: 99%

Capacity planning of a wide-sense nonblocking generalized survivable network

Cheung

2006

J. Opt. Netw.

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Generalized Survivable Networks (GSNs) have two interesting properties that are essential attributes for the future backbone networks-full survivability against link failures and support for dynamic traffic demands. GSN incorporates the non-blocking network concept into the survivable network models. Given a set of nodes and a topology that is at least 2-edge connected, a certain minimum capacity is required for each edge to form a GSN. The edge capacity is bounded because each node has an I/O capacity limit which serves as constraints for any allowable traffic demand matrix. The GSN capacity planning problem is NP-hard. We first give a rigorous mathematical framework, then we offer two different solution approaches. The two-phase approach is fast but the joint optimization approach gives a better bound. We carried out numerical computations for eight networks with different topologies and found that the cost of a GSN is only a fraction (from 52% to 89%) more than a static survivable network.

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Section: The Top Layer Carries Different Communication Services Usingmentioning

confidence: 99%

Capacity planning of a wide-sense nonblocking generalized survivable network

Cheung

2006

J. Opt. Netw.

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“…One common network topology for a metro network is the single-hop star topology. Apart from the design simplicity, the synchronization required in a TDM network can be easily achieved in an all-optical starbased network [3]. Since a star network suffers from the central node failure problem, the overlaid star topology [4][5][6] has been considered to provide robustness and reliability.…”

Section: Introductionmentioning

confidence: 99%

Contention Resolution by Retransmission in Single-hop OPS Metro Networks

Rahbar

Yang

2007

JNW

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We consider a single-hop slotted all-Optical Packet-Switched (OPS) metro network where contention is the major problem. Since contention resolution hardware such as optical buffers and wavelength converters are expensive, we do not use any of these contention resolution hardware inside a core switch. Instead, we consider the retransmission in the optical domain which appears to be the cheapest solution. We study the prioritized retransmission schemes where dropped traffic has a priority when retransmitted from edge switches. Our study shows that the number of retransmissions can be significantly reduced. We present the analysis in a singlefiber network where additional wavelength channels are used to carry the same traffic. In addition to verifying our analysis, our simulation results demonstrate the capability and the advantage of PR over the traditional RR (Random Retransmission) as well as the advantage of using multiple wavelengths over using multiple fibers.

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Introduction to Optical Packet Switched (OPS) Networks

Rahbar¹

2015

Quality of Service in Optical Packet Switched Networks

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Comparison of two optical-core networks

Cited by 34 publications

References 6 publications

Capacity planning of a wide-sense nonblocking generalized survivable network

Capacity planning of a wide-sense nonblocking generalized survivable network

Contention Resolution by Retransmission in Single-hop OPS Metro Networks

Introduction to Optical Packet Switched (OPS) Networks

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