On the Use of Clustering Algorithms for Message Scheduling in WDM Star Networks

Petridou, Sophia; Sarigiannidis, Panagiotis; Papadimitriou, Georgios I.; Pomportsis, A.S.

doi:10.1109/jlt.2008.926913

Cited by 19 publications

(15 citation statements)

References 32 publications

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“…Another example of the use of AI in resource allocation is the work by Petridou et al [75]. They propose a message scheduling algorithm, based on the k-means clustering algorithm, which addresses both message sequencing and channel Survivable optical networks Genetic algorithms [69]: designs the physical topology of the network ensuring survivability.…”

Section: Optical Network Planningmentioning

confidence: 99%

Artificial intelligence (AI) methods in optical networks: A comprehensive survey

Mata

Miguel

Durán

et al. 2018

Optical Switching and Networking

309

172

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Artificial intelligence (AI) is an extensive scientific discipline which enables computer systems to solve problems by emulating complex biological processes such as learning, reasoning and self-correction. This paper presents a comprehensive review of the application of AI techniques for improving performance of optical communication systems and networks. The use of AI-based techniques is first studied in applications related to optical transmission, ranging from the characterization and operation of network components to performance monitoring, mitigation of nonlinearities, and quality of transmission estimation. Then, applications related to optical network control and management are also reviewed, including topics like optical network planning and operation in both transport and access networks. Finally, the paper also presents a summary of opportunities and challenges in optical networking where AI is expected to play a key role in the near future.

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Section: Optical Network Planningmentioning

confidence: 99%

Artificial intelligence (AI) methods in optical networks: A comprehensive survey

Mata

Miguel

Durán

et al. 2018

Optical Switching and Networking

309

172

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“…In the adopted WDM star network, a set of N nodes are interconnecting to a passive star coupler via two-way optical fibers [13]- [15]. Each node is equipped with a tunable transmitter and a fixed receiver in order to send data packets on any available channel and to accept data on a specific channel, known as home channel.…”

Section: Network Modelmentioning

confidence: 99%

Applying quality of service prediction in WDM optical networks

Sarigiannidis

2010

Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference

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A dynamic prediction scheme is presented in this paper, named PROPHET. The purpose of the proposed technique is to predict, given two different classes of quality of service (QoS), the total amount of the demanded transmission requests per QoS class. PROPHET is constructed based on Hidden Markov Chains (HMC), modeled by an ergodic framework. The prediction objective is to reduce the amount of time spent in computing the transmission schedule by predicting traffic requests. The evaluation of the predictor is realized in a Wavelength Division Multiplexing (WDM) single-hop network with star topology. Furthermore, PROPHET is compared to a previous prediction-based scheme, called POSA. Simulation results indicate that the novel technique supports efficient predictable QoS, since it operates more accurately than POSA.

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“…Existing MAC schemes for PSC networks, including preallocationbased [8,9] and reservation-based [10][11][12][13][14][15][16][17] schemes, exhibit various performance merits and weaknesses. Preallocation-based schemes predetermine channel resources for each source-destination pair (S-D pair).…”

Section: Introductionmentioning

confidence: 99%

“…Most previous studies have focused on the first concern by avoiding unnecessary receiver-tuning time, for example, by using a contiguous destination scheduling technique. Specifically, most works have focused on determining algorithms optimized for packing variablelength packets into available bandwidth resources [10][11][12][13][14][15]; however, no optimized algorithm can fill all idle slots, resulting in limited network utilization (which is at most approximately 80%).…”

Section: Introductionmentioning

confidence: 99%

A Novel Access and Control System in a WDM Passive Star-Coupled Network for Optical Backhaul

Chao

Chang

2014

J. Opt. Commun. Netw.

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A passive star-coupled (PSC) optical wavelength division multiplexing (WDM) network is considered a promising candidate for optical backhaul particularly in densely populated urban areas. In this paper, we present the access and control system design for wireless backhaul transmission over a PSC wavelength division multiple access (WDMA) network. We employ an in-band controlsignal technique, providing dedicated control slot access, and the length of the control slot is minimized and unconstrained by the length of a data slot, aiming at offering thorough control information and maximizing the system performance. A packet-by-packet, reservation-based, and frame-basis medium access control (MAC) scheme is presented. The MAC scheme ensures round-robin scheduling to flexibly transmit data packets within a data frame by simply adopting two initial variables. The simulation results show that the network achieves exceptionally high system performance when each node is equipped with only one tunable transmitter and one fixed-tuned receiver for uniform destination traffic scenarios. In a client/server traffic scenario, only the server node (which receives an additional proportion of the entire network traffic) is upgraded by replacing the fixed-tuned receiver with a fast tunable receiver; thus, exceptionally high delay-throughput performance is maintained, and the most cost-effective solutions are proposed.Index Terms-Medium access control (MAC); Optical backhaul; Passive star coupler (PSC); Wavelength division multiplexing (WDM).

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On the Use of Clustering Algorithms for Message Scheduling in WDM Star Networks

Cited by 19 publications

References 32 publications

Artificial intelligence (AI) methods in optical networks: A comprehensive survey

Artificial intelligence (AI) methods in optical networks: A comprehensive survey

Applying quality of service prediction in WDM optical networks

A Novel Access and Control System in a WDM Passive Star-Coupled Network for Optical Backhaul

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