Dimensioning of Store-and-Transfer WDM Network with limited storage

Feng, Da; Sun, Weiqiang; Wu, Peng; Zhang, Xiaojian; Wu, Junmin; Hu, Weisheng

doi:10.1109/noms.2016.7502815

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…This paper extends our work presented in [5] and discusses the influence of utilization of wavelengths on dimensioning results. Also, the detailed mathematical analysis is presented in Appendices A and B.…”

Section: Introductionsupporting

confidence: 63%

Dimensioning of the Store-and-Transfer WDM Network With Limited Node Storage Under the Sliding Scheduled Traffic Model

Feng

Sun

Zhang

2017

J. Opt. Commun. Netw.

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The so-called store-and-transfer WDM network (STWN) can store data in source storage and provision lightpaths at an optimal time when wavelengths are clear of conflicts. Consequently, blocking of requests can be reduced and resource utilization of the network can be improved. In this work, we investigate dimensioning of STWN and propose a two-step method to jointly determine the number of wavelengths and storage size required to satisfy the demand, which is given as a load matrix with a deadline, blocking rate, and wavelength utilization. The method models the STWN as a TDM network and first obtains the required storage size by maximizing the number of fixed time slots in each period, then calculates the required number of wavelengths with the number of time slots. Numerical results show the following: high load between far apart source and destination nodes has significant impact on the required wavelengths and storage. For instance, in a 24-node topology, 20% more wavelengths and storage may be required to satisfy a biased load matrix than a randomly generated one. When calculating the required number of wavelengths, our method outperforms traditional routing and wavelength assignment (RWA), because the TDM-based model supports fractional load. In the 24-node topology, 18% more wavelengths may be required by RWA than by our method. By installing a moderate amount of storage, wavelength utilization can be effectively improved. With number of wavelengths and storage size equaling 29 and 274, in the 24-node topology, utilization can reach 0.9. We also find wavelength is equivalent with storage regarding capacity of a STWN. For instance, with number of wavelengths and storage size equaling 114 and 131, in the 24-node topology, the blocking rate is the same as with number of wavelengths and storage size equaling 29 and 270.

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Section: Introductionsupporting

confidence: 63%

Dimensioning of the Store-and-Transfer WDM Network With Limited Node Storage Under the Sliding Scheduled Traffic Model

Feng

Sun

Zhang

2017

J. Opt. Commun. Netw.

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Decoupled scheduling in Store-and-Forward OCS networks

Zhao

Yue

Lin

et al. 2020

Optical Switching and Networking

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GPSonflow

Varki

2018

ACM Trans. Model. Perform. Eval. Comput. Syst.

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This article evaluates the maximum data flow from a sender to a receiver via the internet when all transmissions are scheduled for early morning hours. The significance of early morning hours is that internet congestion is low while users sleep. When the sender and receiver lie in proximal time zones, a direct transmission from sender to receiver can be scheduled for early morning hours. When the sender and receiver are separated by several time zones such that their sleep times are non-overlapping, data can still be transmitted during early morning hours with an indirect store-and-forward transfer. The data are transmitted from the sender to intermediate end networks or data centers that serve as storage hops en route to receiver. The storage hops are placed in zones that are time proximal to the sender or the receiver so that all transmissions to and from storage hops occur during low-congestion early morning hours. This article finds the optimal locations and bandwidth distributions of storage hops for maximum nice internet flow from a sender to a receiver.

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Dimensioning of Store-and-Transfer WDM Network with limited storage

Cited by 3 publications

References 19 publications

Dimensioning of the Store-and-Transfer WDM Network With Limited Node Storage Under the Sliding Scheduled Traffic Model

Dimensioning of the Store-and-Transfer WDM Network With Limited Node Storage Under the Sliding Scheduled Traffic Model

Decoupled scheduling in Store-and-Forward OCS networks

GPSonflow

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