Traffic Grooming in Green Optical Networks

Hasan, Mehedi; Farahmand, Farid; Patel, Ankitkumar N.; Jue, Jason P.

doi:10.1109/icc.2010.5502230

Cited by 55 publications

(20 citation statements)

References 10 publications

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“…A consensual and commonly adopted way to represent a network topology is to model it as an undirected graph where the vertices are the nodes and the edges are the bidirectional links Hasan et al 2010]. Each vertex and each edge has an associated power cost function with parameters varying using random theory.…”

Section: Measuring and Modeling Energy Consumptionmentioning

confidence: 99%

A survey on techniques for improving the energy efficiency of large-scale distributed systems

2014

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The great amounts of energy consumed by large-scale computing and network systems, such as data centers and supercomputers, have been a major source of concern in a society increasingly reliant on information technology. Trying to tackle this issue, the research community and industry have proposed a myriad of techniques to curb the energy consumed by IT systems. This article surveys techniques and solutions that aim to improve the energy efficiency of computing and network resources. It discusses methods to evaluate and model the energy consumed by these resources, and describes techniques that operate at a distributed system level, trying to improve aspects such as resource allocation, scheduling and network traffic management.This work aims to review the state of the art on energy efficiency and to foster research on schemes to make network and computing resources more efficient.

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Section: Measuring and Modeling Energy Consumptionmentioning

confidence: 99%

A survey on techniques for improving the energy efficiency of large-scale distributed systems

2014

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“…Hasan et al (2010) has studied the power-aware hybrid grooming problem and proposed auxiliary-graph-based heuristics. By using the current active components in core routers as much as possible, the heuristics proposed in Hasan et al (2010) increased the number of components with idle states as a consequence of power reduction in establishing the lightpaths. However, the above works on green hybrid grooming feature a limited network resiliency and are not power-efficiency oriented.…”

Section: Green Hybrid Groomingmentioning

confidence: 99%

“…The utility of such many components still may cause power thirsty. One practical solution that can be adopted to greening IP over WDM network is hybrid grooming (i.e., traffic grooming along with an optical bypass), which has been studied in the recent literatures (Li and Ramamurthy, 2005;Idzikowski et al, 2010;Idzikowski et al, 2011;Hasan et al, 2009;Wu et al, 2009;Hamad and Kamal, 2005;Shen and Tucker, 2009;Xia et al, 2011;Hasan et al, 2010;Monti et al, 2011;Cavdar et al, 2010). This technique multiplexes several small-granularity connection demands into a high-capacity lightpath and then switches these small-granularity connection demands all-optically as a single entity to ensure both the number of TPs and the times of optical-electrical-optical (OEO) conversions reduction.…”

Section: Introductionmentioning

confidence: 99%

Survivable power efficiency oriented integrated grooming in green networks

Hou

Gong

2013

Journal of Network and Computer Applications

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“…(8) Router ports/transponder deployed at each node does not exceed the maximum number set in this study (9) Renewable energy and non-renewable energy at each node can satisfy the total energy consumption of the node (10)…”

Section: = (4)mentioning

confidence: 99%

“…Results shows that energy-aware traffic grooming needs the least operational power under various scenarios, compared to a direct-lightpath and a traffic-grooming approach. In [8] and [9], the authors focus on the energy aware dynamic traffic grooming in optical networks, based on the methodology of auxiliary graph. The authors minimize energy consumption of devices in the network on the basis of traffic profile variations during different hours of the day.…”

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confidence: 99%

Energy Minimized design of Mixed Line Rate IP-over-WDM Network

2017

IJIET

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Abstract-Power consumption in IP-over-WDM networks has become a major concern, more so due to rapidly evolving data intensive applications. Increasing power consumption also increases the environmental cost (carbon emission). Carbon emissions are the result of power generation using non-renewable (traditional hydrocarbons) energy resources. Usage of non-renewable energy resources (such as hydrocarbons, fossil fuel) is a major cause of global warming. An idea to reduce carbon emission is to maximize the use of renewable energy at each node .This not only gives the opportunity to reduce the carbon emission but also leads to development of sustainable infrastructure. Wind and solar are two important resources of renewable energy today. However, green energy generated by these resources is dependent on time of the day and environmental conditions. Since green energy supply is intermittent and not always available, green nodes are backed up by traditional hydrocarbon grid energy. Efficient use of green energy to minimize carbon emission and energy cost is a challenge. We propose MILP (mixed integer linear program) that minimizes the overall non-renewable energy consumption of the MLR WDM network. This MILP model uses mixed-line-rate (MLR) over the single-line-rate (SLR) in WDM. We also compare the non-renewable energy consumption of MLR-WDM network with that of SLR-WDM network. Optimization results indicate that proposed MILP can reduce the overall non-renewable energy consumption of the network up to 35%. In addition, it also reduces the number of transponders used in MLR as compared to SLR networks. Since the number of transponders utilized in the optical layer is directly proportional to the power consumed, therefore with MLR network, non-renewable energy consumption can be reduced in comparison to SLR network.

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Traffic Grooming in Green Optical Networks

Cited by 55 publications

References 10 publications

A survey on techniques for improving the energy efficiency of large-scale distributed systems

A survey on techniques for improving the energy efficiency of large-scale distributed systems

Survivable power efficiency oriented integrated grooming in green networks

Energy Minimized design of Mixed Line Rate IP-over-WDM Network

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