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Software defined optical switching for cloud computing transport systems

Authors:

Taras Maksymyuk,

Stepan Dumych,

Olena Krasko,

Minho JoAuthors Info & Claims

IMCOM '15: Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication

Article No.: 46, Pages 1 - 2

https://doi.org/10.1145/2701126.2701232

Published: 08 January 2015 Publication History

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Abstract

This paper presents a new approach for optical burst switching in order to achieve better performance of cloud computing systems. The model of software defined burst scheduling in core node of OBS (Optical Burst Switching) network was designed based on field programmable gate arrays supervised by main controller. Simulation results prove the advantage of the proposed network infrastructure.

References

[1]

He, J. 2013. Software-defined transport network for cloud computing. In Optical Fiber Communication Conference/National Fiber Optic Engineers Conference, (Anaheim, California, United States, March 17--21, 2013), paper OTh1H.6.

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[2]

Dumych, S., Maksymyuk, T., Krasko, O., and Guskov, P. 2013. The Virtual Channel Parameters Calculation in All-Optical Network. IEEE International Conference on The Experience of Designing and Applications of CAD Systems in Microelectronics (Polyana-Svaliava, Ukraine, Feb.2013), p. 87.

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[3]

Qiao, C., and Yoo, M. 1999. Optical burst switching (OBS)---A new paradigm for an optical internet. J. High Speed Networks, vol. 8, pp. 69--84.

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[4]

Dumych, S., Guskov, P., Maksymyuk, T., and Klymash, M. 2013. Simulation of characteristics of optical burst switched networks. IEEE International Conference on Microwave & Telecommunication technology, (Sevastopol, Ukraine, Sep. 2013), pp. 492--493.

Google Scholar

[5]

Nhat, V. V. M., and Quoc, N. H. 2014. A model of adaptive grouping scheduling in OBS core nodes. Journal of Convergence, vol. 5, no. 1, pp. 9--13.

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Maksymyuk TLutsiv NShubyn BGazda JIvakhiv O(2023)Feature Engineering for Deep Learning-Based Anomaly Detection in 5G and Beyond2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)10.1109/IDAACS58523.2023.10348814(1110-1113)Online publication date: 7-Sep-2023
https://doi.org/10.1109/IDAACS58523.2023.10348814
Pyrih YKlymash MHordiichuk-Bublivska O(2023)Investigating the Efficiency of Genetic Algorithm with Elite Strategy for TSP2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT)10.1109/AICT61584.2023.10452691(1-4)Online publication date: 21-Nov-2023
https://doi.org/10.1109/AICT61584.2023.10452691
Pyrih YKlymash MKaidan MStrykhalvuk B(2023)Investigating the Efficiency of Tournament Selection Operator in Genetic Algorithm for Solving TSP2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT)10.1109/AICT61584.2023.10452423(170-173)Online publication date: 21-Nov-2023
https://doi.org/10.1109/AICT61584.2023.10452423
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Index Terms

Software defined optical switching for cloud computing transport systems
1. Networks
  1. Network properties
    1. Network range
      1. Local area networks
      2. Wide area networks

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Information

Published In

IMCOM '15: Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication

January 2015

674 pages

ISBN:9781450333771

DOI:10.1145/2701126

Conference Chairs:
Dongsoo S. Kim
Indiana University
,
Sang-wook Kim
Hanyang University, Korea
,
General Chairs:
Suk-Han Lee
Sungkyunkwan Univerisity, Korea
,
Lajos Hanzo
University of Southampton, UK
,
Roslan Ismail
Universiti Kuala Lumpur, Malaysia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 08 January 2015

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IMCOM '15: The 9th International Conference on Ubiquitous Information Management and Communication

January 8 - 10, 2015

Bali, Indonesia

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Overall Acceptance Rate 213 of 621 submissions, 34%

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Maksymyuk TLutsiv NShubyn BGazda JIvakhiv O(2023)Feature Engineering for Deep Learning-Based Anomaly Detection in 5G and Beyond2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)10.1109/IDAACS58523.2023.10348814(1110-1113)Online publication date: 7-Sep-2023
https://doi.org/10.1109/IDAACS58523.2023.10348814
Pyrih YKlymash MHordiichuk-Bublivska O(2023)Investigating the Efficiency of Genetic Algorithm with Elite Strategy for TSP2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT)10.1109/AICT61584.2023.10452691(1-4)Online publication date: 21-Nov-2023
https://doi.org/10.1109/AICT61584.2023.10452691
Pyrih YKlymash MKaidan MStrykhalvuk B(2023)Investigating the Efficiency of Tournament Selection Operator in Genetic Algorithm for Solving TSP2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT)10.1109/AICT61584.2023.10452423(170-173)Online publication date: 21-Nov-2023
https://doi.org/10.1109/AICT61584.2023.10452423
Maksymyuk TGazda JShubyn BKarpin OKapshii OUrikova OAmhoud ELiyanage MJo MDohler M(2023)Metaverse of Things in 6G Era: An Emerging Fusion of IoT, XR, Edge AI and Blockchain TechnologiesEmerging Networking in the Digital Transformation Age10.1007/978-3-031-24963-1_31(546-564)Online publication date: 3-Feb-2023
https://doi.org/10.1007/978-3-031-24963-1_31
Andrushchak VKaidan MDumych SDashkovska OKopets H(2020)Deep Learning based Traffic Optimization in Optical Transport Networks2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)10.1109/TCSET49122.2020.235561(873-876)Online publication date: Feb-2020
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Klymash MHordiichuk-Bublivska OTchaikovskyi IDeschynskiy Y(2020)Modeling and Research of Processing Big Data Sets in Distributed Information Systems2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)10.1109/TCSET49122.2020.235558(858-863)Online publication date: Feb-2020
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Andrushchak VKaidan MDumych SPyrih YMaksymyuk T(2019)Research on the Scalability of All-Optical Switches in the OLS Networks2019 IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM)10.1109/CADSM.2019.8779310(1-4)Online publication date: Feb-2019
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Toroshanko YSelepyna YYakymchuk NCherevyk V(2019)Control of Traffic Streams with the Multi-Rate Token Bucket2019 3rd International Conference on Advanced Information and Communications Technologies (AICT)10.1109/AIACT.2019.8847860(352-355)Online publication date: Jul-2019
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Beshley MPryslupskyi APanchenko OBeshley H(2019)SDN/Cloud Solutions for Intent-Based Networking2019 3rd International Conference on Advanced Information and Communications Technologies (AICT)10.1109/AIACT.2019.8847731(22-25)Online publication date: Jul-2019
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Recommendations

A distributed backoff-channel deflection algorithm with load balancing for optical burst switching networks

Algorithms for burst rescheduling in WDM optical burst switching networks

On ordered scheduling for optical burst switching

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