Joint power-efficient traffic shaping and service provisioning for metro elastic optical networks
Considering the time-averaged behavior of a metro elastic optical network, we develop a joint procedure for resource allocation and traffic shaping to exploit the inherent service diversity among the requests for power-efficient network operation. To support the quality of service diversity, we cons...
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| Published in | Journal of optical communications and networking Vol. 11; no. 12; pp. 578 - 587 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
Optica Publishing Group
01.12.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1943-0620 1943-0639 1943-0639 |
| DOI | 10.1364/JOCN.11.000578 |
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| Abstract | Considering the time-averaged behavior of a metro elastic optical network, we develop a joint procedure for resource allocation and traffic shaping to exploit the inherent service diversity among the requests for power-efficient network operation. To support the quality of service diversity, we consider minimum transmission rate, average transmission rate, maximum burst size, and average transmission delay as the adjustable parameters of a general service profile. The work evolves from a stochastic optimization problem, which minimizes the power consumption subject to stability, physical, and service constraints. The optimal solution of the problem is obtained using a complex dynamic programming method. To provide a near-optimal fast-achievable solution, we propose a sequential heuristic with a scalable and causal software implementation, according to the basic Lyapunov iterations of an integer linear program. The heuristic method has a negligible optimality gap and a considerably shorter runtime compared to the optimal dynamic programming, and reduces the consumed power by 72% for an offered traffic with a unit variation coefficient. The adjustable trade-offs of the proposed scheme offer a typical 10% power saving for an acceptable amount of excess transmission delay or drop rate. |
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| AbstractList | Considering the time-averaged behavior of a metro elastic optical network, we develop a joint procedure for resource allocation and traffic shaping to exploit the inherent service diversity among the requests for power-efficient network operation. To support the quality of service diversity, we consider minimum transmission rate, average transmission rate, maximum burst size, and average transmission delay as the adjustable parameters of a general service profile. The work evolves from a stochastic optimization problem, which minimizes the power consumption subject to stability, physical, and service constraints. The optimal solution of the problem is obtained using a complex dynamic programming method. To provide a near-optimal fast-achievable solution, we propose a sequential heuristic with a scalable and causal software implementation, according to the basic Lyapunov iterations of an integer linear program. The heuristic method has a negligible optimality gap and a considerably shorter runtime compared to the optimal dynamic programming, and reduces the consumed power by 72% for an offered traffic with a unit variation coefficient. The adjustable trade-offs of the proposed scheme offer a typical 10% power saving for an acceptable amount of excess transmission delay or drop rate. |
| Author | Agrell, Erik Hadi, Mohammad |
| Author_xml | – sequence: 1 givenname: Mohammad orcidid: 0000-0002-5179-2138 surname: Hadi fullname: Hadi, Mohammad email: mohadi@chalmers.se organization: Department of Electrical Engineering, Chalmers University of Technology, SE-41296 Gothenburg, Sweden – sequence: 2 givenname: Erik orcidid: 0000-0003-0685-451X surname: Agrell fullname: Agrell, Erik organization: Department of Electrical Engineering, Chalmers University of Technology, SE-41296 Gothenburg, Sweden |
| BackLink | https://research.chalmers.se/publication/512261$$DView record from Swedish Publication Index |
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| Cites_doi | 10.1364/JOCN.9.000D19 10.1109/MCOM.2018.1700025 10.1109/JLT.2018.2795345 10.1364/JOCN.7.00B101 10.1364/JOCN.11.000250 10.1364/JOCN.8.000118 10.1364/OE.22.000055 10.1364/JOCN.10.000832 10.1016/j.comnet.2012.03.012 10.1109/JLT.2016.2638739 10.1109/MCOM.2009.5307468 10.1109/TGCN.2018.2876338 10.1364/JOCN.5.000305 10.1364/JOCN.8.000175 10.1109/MCOM.2015.7045403 10.2200/S00271ED1V01Y201006CNT007 10.1364/JOCN.7.00A142 10.1109/JLT.2013.2295208 10.1109/JLT.2015.2461449 10.1364/JOCN.10.000090 10.1109/JLT.2017.2657698 10.1109/TC.2015.2401031 10.1364/JOCN.9.00A170 10.1109/JLT.2014.2332360 10.1109/COMST.2017.2769102 10.1109/JLT.2017.2665783 10.1109/JLT.2016.2590578 |
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| References | Zhong (jocn-11-12-578-R5) 2016; 8 Yan (jocn-11-12-578-R20) 2017; 35 Neely (jocn-11-12-578-R25) 2010; 3 Ye (jocn-11-12-578-R3) 2015; 53 Dupas (jocn-11-12-578-R10) 2017; 9 Khodakarami (jocn-11-12-578-R16) 2014; 32 Jinno (jocn-11-12-578-R33) 2009; 47 Yan (jocn-11-12-578-R26) 2015; 7 Shen (jocn-11-12-578-R1) 2018; 56 Paolucci (jocn-11-12-578-R9) 2018; 36 Huang (jocn-11-12-578-R13) 2015; 64 Layec (jocn-11-12-578-R2) 2017; 35 Neely (jocn-11-12-578-R30) 2009 Fallahpour (jocn-11-12-578-R18) 2015; 33 Hadi (jocn-11-12-578-R15) 2019; 3 Khodakarami (jocn-11-12-578-R17) 2016; 8 Hadi (jocn-11-12-578-R23) 2019; 11 Zhang (jocn-11-12-578-R19) 2015; 7 Hadi (jocn-11-12-578-R14) 2018; 10 Ju (jocn-11-12-578-R29) 2016; 34 Yan (jocn-11-12-578-R21) 2018; 10 Alvizu (jocn-11-12-578-R7) 2017; 9 Alvizu (jocn-11-12-578-R6) 2017; 35 Vizcaíno (jocn-11-12-578-R28) 2012; 56 Rottondi (jocn-11-12-578-R22) 2013; 5 Poggiolini (jocn-11-12-578-R27) 2014; 32 Chatterjee (jocn-11-12-578-R8) 2018; 20 Velasco (jocn-11-12-578-R34) 2014; 22 |
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| SubjectTerms | Coefficient of variation Delay Delays Dynamic programming Energy conservation Heuristic methods Modulation Optical arrays Optical communication Optimization Power consumption Power demand Provisioning Quality of service Quality of service architectures Resource allocation Resource management Transponders |
| Title | Joint power-efficient traffic shaping and service provisioning for metro elastic optical networks |
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