Joint Power-Efficient Traffic Shaping and Service Provisioning for Metro Elastic Optical Networks
Artikel i vetenskaplig tidskrift, 2019

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.

Författare

Mohammad Hadi

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Erik Agrell

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Journal of Optical Communications and Networking

1943-0620 (ISSN)

Vol. 11 12 578-587 8853968

Energieffektiv och höghastighets-transmission i optisk fiber kommunikation

VINNOVA (2017-05228), 2018-01-01 -- 2019-12-31.

Energieffektiv optisk fiberkommunikation

Knut och Alice Wallenbergs Stiftelse (KAW2013.0021), 2014-07-01 -- 2019-06-30.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

Annan fysik

Datavetenskap (datalogi)

DOI

10.1364/JOCN.11.000578

Mer information

Senast uppdaterat

2022-04-05