Energy Efficiency and Blocking Reduction for Tidal Traffic via Stateful Grooming in IP-Over-Optical Networks

Zhong, Zhizhen; Hua, Nan; Tornatore, Massimo; Yao, Li; Liu, Haijiao; Ma, Chengbin; Li, Yanhe; Zheng, Xiaoping; Mukherjee, Biswanath

doi:10.1364/jocn.8.000175

Cited by 34 publications

(17 citation statements)

References 17 publications

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“…Fixed resource allocation techniques are not suitable solutions to support dynamic metro traffic patterns since they waste power when the overall traffic volume is far from its peak [4]- [7]. Traditional resource allocation methods without QoS management cannot be used to offer a power-efficient network operation because they do not provide different levels of QoS and dissipate power by a resource allocation beyond the actual need of a service level agreement [5], [8]. Software-defined networking (SDN) is a promising management framework that offers a suitable control plane with the required state information to manage the flexibility of the tunable parameters of the data plane [7], [9].…”

Section: Introductionmentioning

confidence: 99%

Joint power-efficient traffic shaping and service provisioning for metro elastic optical networks

Hadi

Agrell

2019

J. Opt. Commun. Netw.

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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 a power-efficient network operation. To support 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 considerable shorter runtime compared to the optimal dynamic programming, and reduces the consumed power by 72% for an offered traffic with 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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Section: Introductionmentioning

confidence: 99%

Joint power-efficient traffic shaping and service provisioning for metro elastic optical networks

Hadi

Agrell

2019

J. Opt. Commun. Netw.

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“…Recently, there are also some works studying tidal traffic under the optical network scenario for resource allocation problems. Zhong et al [13], [14] considered the balance between both energy efficiency and blocking reduction by using the features of tidal traffic in IP-over-optical networks. Klinkowski et al [15] proposed both Integer Linear Programming (ILP) method and heuristic algorithms to improve the performance of routing and spectrum allocation (RSA) under tidal traffic models.…”

Section: Introductionmentioning

confidence: 99%

Area-Aware Routing and Spectrum Allocation for the Tidal Traffic Pattern in Metro Optical Networks

et al. 2020

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With the increasing bandwidth requirements for people and the development of urbanization, the movement of the population in the city (especially the supercity) has an increasing influence on the traffic distribution in both space and time dimensions. The imbalanced distribution results in the regional blocking of different areas in different time periods and reduces the spectrum resource utilization in elastic optical networks. To resolve this problem, this paper proposes a tidal traffic model to formulate a kind of tidal traffic phenomenon firstly. Based on the analysis for this model, the area-aware routing and spectrum allocation algorithm that focuses on the traffic adjustment in specific functional areas is proposed. And two benchmark algorithms named min-hop k-shortest path routing algorithm and occupied-slots-as-weight k-shortest path routing algorithm are introduced. The evaluation results show that, compared to the benchmark algorithms, the proposed area-aware algorithm could reduce the blocking probability efficiently from 2% to 47% with low time complexity.

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“…In developed cities, such as Paris or London, metropolitan areas also have high population densities. Thus, the growth in mobile traffic combined with metropolitan overcrowding intensifies tidal traffic congestion, making it one of the key factors that influences the dimensioning and control of telephone operators [7].…”

Section: Introductionmentioning

confidence: 99%

“…A policy for resource management is needed to maximize the gains that can be obtained by installing a C-RAN, and this policy should be able to deal with tidal effect scenarios, since these are the main causes of network load imbalance and wasted resources (energy and hardware), both of which affect the network at both the metro and core levels [11]. Therefore, this paper establishes a heuristic for the selection and quantitative determination of antennas to meet the capacity requirements of a predetermined scenario.…”

Section: Introductionmentioning

confidence: 99%

The Heuristic for Hardware Dimensioning Considering Tidal Effect

Falcão

Vieira²,

Pereira

et al. 2020

JCIS

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The recent increase in the volume of services and applications, in addition to the accelerated growth in demand for wireless access, represent significant challenges for the fifth generation (5G) of mobile networks. The daily large-scale migration of people to urban centres is another aspect of this trend, as it entails what is known as the "tidal effec". This effect leads to natural fluctuations in traffic throughout the day and makes it difficult to conduct network dimensioning, control, and management, thus resulting in the inefficient use of network resources. A heuristic with two approaches for provisioning resources (one based on the aggregate throughput and the other on the number of connected users) is proposed in this paper. This is based on data extracted from the mobile subscriber movement in the current network architecture, where a database with geolocation information from the city of New York is used. The aim of this heuristic is to meet the imminent network demands of the future in light of the expected lack of available hardware resources in future mobile networks. Our results suggest that the network provisioning strategy meet the requirements of traffic variability by reducing the number of active antennas by 13% and the network-blocking probability by 3.7%, as well as by maximizing the efficiency of the baseband unit (BBU) and quantifying the small cells (SCs) needed to meet network demands.

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Energy Efficiency and Blocking Reduction for Tidal Traffic via Stateful Grooming in IP-Over-Optical Networks

Cited by 34 publications

References 17 publications

Joint power-efficient traffic shaping and service provisioning for metro elastic optical networks

Joint power-efficient traffic shaping and service provisioning for metro elastic optical networks

Area-Aware Routing and Spectrum Allocation for the Tidal Traffic Pattern in Metro Optical Networks

The Heuristic for Hardware Dimensioning Considering Tidal Effect

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