Dynamic Topology Reconfiguration for Energy Efficient Multi-layer Network using Extended GMPLS with Link Power Control

Nomura, Yoshihiko; Yonezu, Haruka; Ishii, Daisuke; Okamoto, Satoru; Yamanaka, Naoaki

doi:10.1364/nfoec.2012.ntu2j.6

Cited by 5 publications

(5 citation statements)

References 4 publications

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“…Multi-layer re-configuration has also focused on energyefficiency, both from a static [32] [33] and dynamic [34] [35] perspective. Papers [32] [33] introduce two models for network optimization with two different objectives: the minimization of the cost of interfaces [32] and the maximization of the usage of renewable energy [33].…”

Section: Multi-layer Re-configuration and Optimizationmentioning

confidence: 99%

“…Papers [32] [33] introduce two models for network optimization with two different objectives: the minimization of the cost of interfaces [32] and the maximization of the usage of renewable energy [33]. Authors of [34] [35] propose instead two energy-efficient re-configuration schemes: paper [34] investigates the trade-off between energy efficiency and routing stability, while paper [35] aims at switching to a power-saving topology when traffic load is low, by turning off unused links. Our work further allows balancing energy savings against lightpath establishment responsiveness.…”

Section: Multi-layer Re-configuration and Optimizationmentioning

confidence: 99%

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A Dynamic Multi-Layer Resource Allocation and Optimization Framework in Application-Centric Networks

Rožić

Savi

Matrakidis

et al. 2018

J. Lightwave Technol.

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In an SDN-based network, service requests can be accommodated according to network application requirements. We devise a framework where such requirements drive IP and optical network resource allocation, dynamic optimization, and instantiation through an SDN orchestrator. The framework aims to balance the often-conflicting goals such as energy savings and resource allocation speed, while ensuring that the orchestrator can accommodate incoming service requests without interrupting the running services. We show the functionality of the framework with a simulation on a real network topology and realistic input traffic. Index Terms-(060.4256) Networks, network optimization, (060.4251) Networks, assignment and routing algorithms I. INTRODUCTION pplications running over the Internet today, such as autonomous driving, remote surgery, 5G backhauling, and data migration, demand more than just a bandwidth pipe over a connected network. The new service requirements are specific and complex, so merely providing a sufficiently capacitated optical channel will not suffice. Moreover, bundling the traffic from diverse applications does have advantages of cost, but the resulting service may be inadequate, the usage of network resources may be inefficient, or the network operator may miss an opportunity to generate revenue from higher-class services. Recently, Software-Defined Networking (SDN) enables service providers to use the existing IP and optical network resources more intelligently and efficiently. This advance allows for assigning bandwidth where and when needed, and Manuscript received July 12 th , 2018. The research leading to these results has received funding from the European Commission within the H2020 Research and Innovation programme, ACINO project, Grant Number 645127, www.acino.eu.

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Section: Multi-layer Re-configuration and Optimizationmentioning

confidence: 99%

Section: Multi-layer Re-configuration and Optimizationmentioning

confidence: 99%

A Dynamic Multi-Layer Resource Allocation and Optimization Framework in Application-Centric Networks

Rožić

Savi

Matrakidis

et al. 2018

J. Lightwave Technol.

View full text Add to dashboard Cite

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“…In [12], the authors show the energy consumption (in Wh without specifying the considered time period and details of the traffic data) on a 4-node full mesh network. The energy saving reaches up to 23.8%.…”

Section: Related Workmentioning

confidence: 99%

“…The experiments with the multilayer network using GbE switches and the optical switch from [11] are continued in [13] using the extension of the GMPLS. Namely, 4 Ethernet switches out of the considered 6 are connected to the optical switch.…”

Section: Related Workmentioning

confidence: 99%

Facing the Reality: Validation of Energy Saving Mechanisms on a Testbed

Tego

Idzikowski

Chiaraviglio

et al. 2014

Journal of Electrical and Computer Engineering

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Two energy saving approaches, called Fixed Upper Fixed Lower (FUFL) and Dynamic Upper Fixed Lower (DUFL), switching off idle optical Gigabit Ethernet (GbE) interfaces during low traffic periods, have been implemented on a testbed. We show on a simple network scenario that energy can be saved using off-the-shelf equipment not explicitly designed for dynamic on/off operation. No packet loss is experienced in our experiments. We indicate the need for faster access to routers in order to perform the reconfiguration. This is particularly important for the more sophisticated energy saving approaches such as DUFL, since FUFL can be implemented locally.

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“…Traffic demand is dynamically changed, but the network is designed to endure the maximum traffic demand. In case of the lower traffic demand, energy efficient TE [22][23][24] can be applied to concentrate the traffic into limited number of links and nodes and then unused links and nodes are shutdown to save the operating power consumption. In the E 3 -DCN, the energy efficient TE is applied to virtual networks.…”

Section: A Strategy I: Dynamic Network Reconfigurationmentioning

confidence: 99%

Energy Efficient and Enhanced-Type Data-Centric Network (E3-DCN)

Okamoto

Yamanaka

Matsubara

et al. 2012

2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed C

Self Cite

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This paper presents a concept of the Energy Efficient and Enhanced-type Data-centric Network (E 3 -DCN). For future network technology, the Contents-centric Network (CCN) is widely studied. DCN is an extended version of CCN. M2M communication and mobility of the data are supported.In the enhanced-type DCN, a user requests data name or identifier to the network. If the exactly matched requested data are not found in the network, the network constructs the requested data. E 3 -DCN provides an energy efficient contents delivery network on the network virtualization platform.

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Dynamic Topology Reconfiguration for Energy Efficient Multi-layer Network using Extended GMPLS with Link Power Control

Cited by 5 publications

References 4 publications

A Dynamic Multi-Layer Resource Allocation and Optimization Framework in Application-Centric Networks

A Dynamic Multi-Layer Resource Allocation and Optimization Framework in Application-Centric Networks

Facing the Reality: Validation of Energy Saving Mechanisms on a Testbed

Energy Efficient and Enhanced-Type Data-Centric Network (E3-DCN)

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