SlideShare a Scribd company logo
Survey of energy-efficient solutions in Network
                                                            Olivier Z. Zheng, Oxford Brookes University


     Abstract
     Since 2000, the growth of IT has increased in a radical way, to become the first carbon dioxide producer. It
     is at this time that people start to think about the global warming and the bad effect of the carbon dioxide.
     Everybody try to reduce his carbon dioxide footprint. Today, computers are connected to a network. So the
     main actors in IT (manufacturers, organisations…) start to work on solution to decrease the Network’s
     footprint.
     In this paper, different non-commercial energy-efficient solutions are described: the 802.3az standard, the
     EMAN framework, the energy-efficiency metrics and the MiDORi network. Each solution is focused on a
     particular part of the Network (from the interface, to the global design), it has its advantages, but it has also
     its disadvantages. We’ll talk more about the disadvantages of each solution.
     Each solution introduced in this paper will decrease the power consumption of the network. But to have the
     best results, the chosen solution will have to be implemented in the good way to have the best impact on the
     network power consumption: having Core layer routers with 802.3az ports won’t save more energy than
     having Access layer switches with 802.3az ports.



I.       INTRODUCTION
     Since the beginning of the computing, nobody really takes care of the notion of the energy-efficient.
     But since that the global warming becomes a real problem for the future.




                                                                                                                                                                                      	
  
                                              Fig 1 Evolution of the carbon dioxide emission of several industries [1]

     And as we can see on the Figure 1, the Computers and Semiconductors carbon dioxide emission grow
     very fast from 1990 to 2008.
     So companies try to reduce their power consumption, to reduce their carbon footprint.
     	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  
       	
  Olivier Zhou Zheng is with the School of Technology, Oxford Brookes University, Wheatley Campus, Wheatley, Oxford,
     OX33 1HX, United Kingdom (e-mail: olivier.zheng@ieee.org)	
  
Companies have understood that they can improve their reputation and they can also save money by
      reducing the power consumption.
      There are some certifications (Energy Star or EPEAT) made to certify that the equipment or the
      component has power consumption lower than some values, has some save mode or has a high
      efficient. For example, companies may use virtualization: services virtualization on one server can
      avoid having several servers. They avoid business trips by using video-conferencing solutions.
      With the expansion of the utilization of IP protocol, the Network’s energy consumption becomes a new
      problem.
      The network manufacturers understood this and try to develop some solutions: EnergyWise and the
      smart grid by Cisco, D-link Green by D-link are solutions which try to answer to this problem.
      Only the non-commercial solutions made to try to improve the energy consumption, and new
      approaches will be introduced.



II.       BACKGROUND
      There are already 2 non-commercial works, which are developing by the IETF, the IEEE.
      Theses 2 solutions are focused on 2 different levels in the network: the cable at the physical layer level,
      the network equipment at the application layer level.

      A. Approach from the IETF
      In 2008, The Register and Freeform Dynamics have made an online survey. Here is the result of the
      survey.




                                                                                          	
  
                                Fig 2 Result of a survey about IT energy accounting [2]

      As we can see on the Figure 2, 61% of the answer was “No, IT is not accountable”.
      So it shows one thing: before trying to decrease the energy consumption, it may be interesting to
      quantify this consumption.
      A working group has been created in September 2010 [3] in the IETF to propose a solution: the EMAN
      workgroup, EMAN stands for Energy MANagement.
      The main purpose of this working group is to define a framework about energy management, and to
      create a standardized (Management Information Base) on useful parameters in energy management.
      This working group has released 2 drafts in September 2010:
-­‐   The draft named draft-tychon-eman-applicability-statement-00 defines the foundations of the
                 EMAN framework [4].
           -­‐   The draft named draft-parello-eman-energy-aware-mib-00 defines an energy management
                 MIB [5].
       The first draft explained the relation with the frameworks made by some others standardization
       organisations while the second draft is more concrete with the definition of the structure of the MIB,
       and the MIB itself.
       Theses 2 drafts of the EMAN working group is just the beginning: in the milestones of the group, 5
       RFCs submissions are planned before December 2011.

       B. Approach from the IEEE
       In 2007, a working group has been created in the IEEE to propose another solution: the 802.3az
       workgroup. They are trying to give the ability to change the power consumption depending of the load
       on the Ethernet cable.
       The standard 802.3az or Energy Efficient Ethernet will allow the dynamic state transition of the energy
       consumption without interruption: if there is an energy transition during a file transfer, it is transparent
       for the user because there is no network interruption.




                                                                                                    	
  
                             Fig 3 Illustration of the dynamic power transition with the data [6]

       The standard will introduce new states in the PHY (PHYsical layer) to allow the state transition.
       The standard 802.3az has just been ratified at the end of September 2010. Starting this date, there will
       be the interoperability with the EEE (Energy Efficient Ethernet) function.
       The main drawback of this standard is that it is a copper cable standard, there is nothing for the optical
       cable. It is not a standard for this kind of cable.



III.       NEW APPROACHES
       There are 2 new approaches: the first approach is to calculate a metric for each network equipment to
       evaluate their efficiency; the second approach is a network optimization method.

       A. Energy-efficient metrics
       The ECR (Energy Consumption Rating) metric, supported by the ECR initiative is a metric, which is
       focus on 2 parameters: the energy consumption and the capacity of the network equipment.
       The ECR is equal to the ratio of the energy consumption (in Watt) on the capacity (in bits per second).
       So more the ECR metric is low, more the network equipment is energy-efficient.
The drawback of the ECR metric is that “ECR is a peak metric that reflects the highest performance
capacity of the device.” [7]. Because the ECR metric is only a peak metric, it may not reflect the reality
in utilization (when there are less load on the network, during the week/week-end or day/night
utilization).
To solve this problem, another metric has been defined: the EER (Energy Efficient Rating) metric.
This metric corresponds to the ratio of the capacity of the network equipment on the energy
consumption in different loads (full load, half load and idle).
The main drawback of these 2 metrics is that the metric must be used to compare equipment with the
same function: an user purchases a low ECR metric Core router and he uses it as a simple gateway
router; he will lose money because of the price and because he didn’t need a Core router for him
utilization.
Another drawback is the metric with modular equipment; empty equipment will have a higher ECR
metric than equipment with full module (even if the modules are energy consumption, the fact that they
improve the capacity is higher than the energy consumption). Even if the metric is given on his normal
utilization, the equipment may not be used in this normal utilization.

B. MiDORi (Multi- (layer, path, and resources) Dynamically Optimized Routing) Network
The MiDORi network is an optimized network with QoS (Quality of Service) requirements: all the
flows are carried on some links to optimise the energy consumption. Ports may be deactivated; nodes
may be shutdown, depending of the traffic. All the activation/deactivation processes are managed by a
PCE.
To have the optimized network starting a network topology, we need to calculate the energy
consumption of each possibility. The team of Dr Yamanaka divides the combinations in groups to
allow parallel computation with the Beeler’s algorithm on a processor [8].
In an enterprise network, this optimized network should be configured only in a part of it (the Core
layer) and should use others energy consumption solutions in the other one (the Access layer).
One drawback of this MiDORi network is that not very scalable in a non mesh topology (full mesh or
partial mesh topology), because if one link is down, one part of the network can’t communicate
anymore; it may be interesting when this part doesn’t send or receive traffic, but in others cases it’ll
become a problem.
Another drawback of the MiDORi network is that because it “aggregates the traffic and turn off vacant
links” [8], there is no more possibility to have parallel links to have load balancing: sharing the traffic
load on several links using link aggregation technology will no be possible on this network.
The MiDORi goes again his purpose with a multihoming architecture (1 network connected to Internet
using 2 links – each link connected to an ISP): in this architecture, it may have some routing policies
related to this architecture, for example, route all the VoIP on the first link and the rest on the other link
will allow the network administrator to avoid to have to define a QoS on the router with the VoIP
traffic (because it will process only VoIP traffic). On the MiDORi network, there will be no
multihoming architecture, because one link will be shutdown and all the traffic will be aggregated to
the other link; so the network administrator will have to define twice the QoS policies (once per
router).
The last drawback of the implementation of this network is that because all the traffic will be
      aggregated on one link, the link may not be sufficient to answer to the needs, so it will create some
      latency on the network, which is not really recommended in time sensitive communications.
      But if the QoS is applied at the network boundaries, the QoS will be respected in this network because
      it affects just the routing (and may affect the latency – see above).



IV.         CONCLUSIONS
      To answer to the energy consumption problem in the network, we have described 4 methods:
            •   The 802.3az will give the ability to set the power dynamically on the interface depending of
                the traffic load (more power when there is a high load, less power during the peak off)
            •   The EMAN framework will give the ability to manage, to monitor and to configure the
                network devices to optimize the energy consumption of the network
            •   The energy-efficiency metrics is more an indicator to help to choose energy-efficient
                equipment, but it may be use in algorithm to determine the most energy-efficient shortest path.
            •   The MiDORi network is a network where the unoccupied components (links and nodes) are
                deactivated to save energy, to let only the most energy-efficient shortest path activated.
      Each solution may not be sufficient to save all the possible consumption, but the utilization of some of
      them may give interesting results.
      Each solution has to be implemented in the best position in the network to have the best impact on the
      power consumption of the network.



V.          REFERENCES
      [1]   US EAI, “U.S. Carbon Dioxide Emissions from Energy Sources 2008 Flash Estimate” 2009.
            Available at http://www.eia.doe.gov/oiaf/1605/flash/flash.html [Accessed 20 November 2010]
      [2]   Atherton, “Should the IT department be accountable for energy use?”. The Register February 2008.
            Available at http://www.theregister.co.uk/2008/02/08/it_accountable_energy_use/ [Accessed 20 November 2010]
      [3]   IETF, “Energy Management (eman) – Charter” 2010.
            Available at https://datatracker.ietf.org/wg/eman/charter/ [Accessed 20 November 2010]
      [4]   Tychon E, Laherty M and Schoening B, “Energy Management (EMAN) Applicability Statement” 2010.
            Available at https://datatracker.ietf.org/doc/draft-tychon-eman-applicability-statement/ [Accessed 20 November 2010]
      [5]   Parello J and Claise B, “Energy-aware Networks and Devices MIB” 2010.
            Available at https://datatracker.ietf.org/doc/draft-parello-eman-energy-aware-mib/ [Accessed 20 November 2010]
      [6]   Bennett M, “Energy Efficient Ethernet – Part of Energy Efficiency Regulation” 13th July 2009.
            Available at http://www.ethernetalliance.org/files/static_page_files/299ED43F-1D09-3519-
            ADF31F9173B5D30F/IEEE%20Energy%20Efficiency%20and%20Regulation.pdf [Accessed 20 November 2010]
      [7]   Juniper, “Energy Efficiency for network equipment: two steps beyond greenwashing” 2010.
            Available at http://www.juniper.net/us/en/local/pdf/whitepapers/2000284-en.pdf [Accessed 20 November 2010]
      [8]   Yamanaka N, Takashita H, Okamoto S and GAO S, “MiDORi: Energy efficient network based on optimizing network
            design tool, remote protocol and new layer-2 switch” – Paper presented at International Conference on Optical Internet
            2010, The Shilla Jeju, Korea, 11-14th July 2010.
            Available at http://biblio.yamanaka.ics.keio.ac.jp/file/Yamanaka_COIN2010_WeB1-1.pdf [Accessible 20 November
            2010]

More Related Content

PPTX
smart sensor control for energy saving in DC grid led lighting system
PDF
A high efficiency pv module integrated dc dc
PDF
An improved architecture for high efficiency, high-density data centers
PPTX
Green radio (final)
PPTX
Energy efficient wireless technology
PPT
Energy conservation in wireless communication systems with relays
PPTX
Green Communication
smart sensor control for energy saving in DC grid led lighting system
A high efficiency pv module integrated dc dc
An improved architecture for high efficiency, high-density data centers
Green radio (final)
Energy efficient wireless technology
Energy conservation in wireless communication systems with relays
Green Communication

What's hot (20)

PDF
Energy Efficient Wireless Communications
PDF
Ph d thesis_seminar_on the design of energy efficient wireless access_sibelto...
PDF
Implementation of a decentralized real-time management system for electrical ...
PPTX
NETWORK ENERGY SAVING TECHNOLOGIES FOR GREEN WIRELESS ACCESS NETWORKS
PPTX
Energy storage system to reduce peak demand of domestic consumers
RTF
Solar power integration with grid
PDF
Review On Design Of Low Power Multiply And Accumulate Unit Using Baugh-Wooley...
PPTX
Soutenance han2014v3
PPTX
Paper Review: ENERGY-EFFICIENT WIRELESS COMMUNICATIONS TUTORIAL, SURVEY, AND ...
PDF
ADVANCED OPTIMIZATION CIRCUIT FOR WIRELESS POWER TRANSFER
PDF
2014 PV Distribution System Modeling Workshop: DOE Solar Energy Grid Integrat...
PDF
[Case study] Dakota Electric Association: Solutions to streamline GIS, design...
PDF
Implementing energy efficient data centers
PDF
IRJET - Energy Efficient Approach for Data Aggregation in IoT
PDF
IRJET - Design and Simulation of DSTATCOM using Fuzzy Logic Controller
PDF
PV –Fed Led Lighting Systems
PDF
ENERGY EFFICIENT COMPUTING FOR SMART PHONES IN CLOUD ASSISTED ENVIRONMENT
DOCX
PDF
20110824 enernoc english_combined
Energy Efficient Wireless Communications
Ph d thesis_seminar_on the design of energy efficient wireless access_sibelto...
Implementation of a decentralized real-time management system for electrical ...
NETWORK ENERGY SAVING TECHNOLOGIES FOR GREEN WIRELESS ACCESS NETWORKS
Energy storage system to reduce peak demand of domestic consumers
Solar power integration with grid
Review On Design Of Low Power Multiply And Accumulate Unit Using Baugh-Wooley...
Soutenance han2014v3
Paper Review: ENERGY-EFFICIENT WIRELESS COMMUNICATIONS TUTORIAL, SURVEY, AND ...
ADVANCED OPTIMIZATION CIRCUIT FOR WIRELESS POWER TRANSFER
2014 PV Distribution System Modeling Workshop: DOE Solar Energy Grid Integrat...
[Case study] Dakota Electric Association: Solutions to streamline GIS, design...
Implementing energy efficient data centers
IRJET - Energy Efficient Approach for Data Aggregation in IoT
IRJET - Design and Simulation of DSTATCOM using Fuzzy Logic Controller
PV –Fed Led Lighting Systems
ENERGY EFFICIENT COMPUTING FOR SMART PHONES IN CLOUD ASSISTED ENVIRONMENT
20110824 enernoc english_combined
Ad

Viewers also liked (20)

PPT
Living W And Wo Unions
PPT
10 Reasons to Choose Hershey Christian School
PPT
Semana nacionaldecarinho
PDF
May 2014 Devil's Corner 1HBCT Newsletter
PDF
June 15 2012 1ID WEEKLY NEWS UPDATE
PPTX
WebXpress @ ReTechCon 2012
PPT
The five pillars_of_islam
PPT
Trash loves trashcans
PDF
Indonesia
PDF
Ipa kls 5 sd (maryanto)
PDF
25 APRIL 2012 1HBCT Weekly News Update
PPT
Janitor psa
DOC
Tugas makalah bhs
PPT
Update on the Illinois and MSA Economies and the Housing Market
PPTX
Trigger Warning Workshop, Sexual Cultures 2, 2015 with Meg John Barker and C...
PDF
CCNA part 3
PPTX
My photo anaylsis
PPT
T pryor a day in the life
PDF
Vendor Evaluation by configuring Vendor Ratings and Vendor Scorecard:
PDF
Portfolio Management
Living W And Wo Unions
10 Reasons to Choose Hershey Christian School
Semana nacionaldecarinho
May 2014 Devil's Corner 1HBCT Newsletter
June 15 2012 1ID WEEKLY NEWS UPDATE
WebXpress @ ReTechCon 2012
The five pillars_of_islam
Trash loves trashcans
Indonesia
Ipa kls 5 sd (maryanto)
25 APRIL 2012 1HBCT Weekly News Update
Janitor psa
Tugas makalah bhs
Update on the Illinois and MSA Economies and the Housing Market
Trigger Warning Workshop, Sexual Cultures 2, 2015 with Meg John Barker and C...
CCNA part 3
My photo anaylsis
T pryor a day in the life
Vendor Evaluation by configuring Vendor Ratings and Vendor Scorecard:
Portfolio Management
Ad

Similar to Survey of energy-efficient solutions in Network (20)

PDF
Energy Efficient Packet Processing Engine
PDF
Study of Energy Saving in Carrier-Ethernet Network
DOCX
Datacenter ISO50001 and CoC
PDF
Green datacenter jeff lam 2008
DOCX
green cloud computing
PDF
PDF
Lippis Energywise External Final
PPT
Energy Efficient Wireless Internet Access
PDF
10 fn s34
PDF
10 fn s34
PDF
Ethernet In The First Mile Access For Everyone Wael William Diab
PPTX
Energy in Factory Automation and the Role of Industrial Networks
PPTX
Energy in Factory Automation and the Role of Industrial Networks
PPTX
Siemon Carrie Higbie
PPTX
Green Networking
PPT
NGN to mitigate Climate Change
PDF
Review on Green Networking Solutions
PDF
C017631521
PDF
White Paper, Ericsson, TCO2
PDF
Growth and sustainability aspects of WDM
Energy Efficient Packet Processing Engine
Study of Energy Saving in Carrier-Ethernet Network
Datacenter ISO50001 and CoC
Green datacenter jeff lam 2008
green cloud computing
Lippis Energywise External Final
Energy Efficient Wireless Internet Access
10 fn s34
10 fn s34
Ethernet In The First Mile Access For Everyone Wael William Diab
Energy in Factory Automation and the Role of Industrial Networks
Energy in Factory Automation and the Role of Industrial Networks
Siemon Carrie Higbie
Green Networking
NGN to mitigate Climate Change
Review on Green Networking Solutions
C017631521
White Paper, Ericsson, TCO2
Growth and sustainability aspects of WDM

Recently uploaded (20)

PDF
MIND Revenue Release Quarter 2 2025 Press Release
PPTX
VMware vSphere Foundation How to Sell Presentation-Ver1.4-2-14-2024.pptx
PDF
Machine learning based COVID-19 study performance prediction
PDF
Advanced methodologies resolving dimensionality complications for autism neur...
PPTX
Big Data Technologies - Introduction.pptx
PPT
Teaching material agriculture food technology
PDF
Dropbox Q2 2025 Financial Results & Investor Presentation
PDF
Optimiser vos workloads AI/ML sur Amazon EC2 et AWS Graviton
PDF
Reach Out and Touch Someone: Haptics and Empathic Computing
PDF
The Rise and Fall of 3GPP – Time for a Sabbatical?
PPTX
Cloud computing and distributed systems.
PDF
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
PDF
Profit Center Accounting in SAP S/4HANA, S4F28 Col11
PDF
Diabetes mellitus diagnosis method based random forest with bat algorithm
PDF
A comparative analysis of optical character recognition models for extracting...
PPTX
sap open course for s4hana steps from ECC to s4
PDF
Building Integrated photovoltaic BIPV_UPV.pdf
PDF
Encapsulation theory and applications.pdf
PDF
Blue Purple Modern Animated Computer Science Presentation.pdf.pdf
PPT
“AI and Expert System Decision Support & Business Intelligence Systems”
MIND Revenue Release Quarter 2 2025 Press Release
VMware vSphere Foundation How to Sell Presentation-Ver1.4-2-14-2024.pptx
Machine learning based COVID-19 study performance prediction
Advanced methodologies resolving dimensionality complications for autism neur...
Big Data Technologies - Introduction.pptx
Teaching material agriculture food technology
Dropbox Q2 2025 Financial Results & Investor Presentation
Optimiser vos workloads AI/ML sur Amazon EC2 et AWS Graviton
Reach Out and Touch Someone: Haptics and Empathic Computing
The Rise and Fall of 3GPP – Time for a Sabbatical?
Cloud computing and distributed systems.
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
Profit Center Accounting in SAP S/4HANA, S4F28 Col11
Diabetes mellitus diagnosis method based random forest with bat algorithm
A comparative analysis of optical character recognition models for extracting...
sap open course for s4hana steps from ECC to s4
Building Integrated photovoltaic BIPV_UPV.pdf
Encapsulation theory and applications.pdf
Blue Purple Modern Animated Computer Science Presentation.pdf.pdf
“AI and Expert System Decision Support & Business Intelligence Systems”

Survey of energy-efficient solutions in Network

  • 1. Survey of energy-efficient solutions in Network Olivier Z. Zheng, Oxford Brookes University Abstract Since 2000, the growth of IT has increased in a radical way, to become the first carbon dioxide producer. It is at this time that people start to think about the global warming and the bad effect of the carbon dioxide. Everybody try to reduce his carbon dioxide footprint. Today, computers are connected to a network. So the main actors in IT (manufacturers, organisations…) start to work on solution to decrease the Network’s footprint. In this paper, different non-commercial energy-efficient solutions are described: the 802.3az standard, the EMAN framework, the energy-efficiency metrics and the MiDORi network. Each solution is focused on a particular part of the Network (from the interface, to the global design), it has its advantages, but it has also its disadvantages. We’ll talk more about the disadvantages of each solution. Each solution introduced in this paper will decrease the power consumption of the network. But to have the best results, the chosen solution will have to be implemented in the good way to have the best impact on the network power consumption: having Core layer routers with 802.3az ports won’t save more energy than having Access layer switches with 802.3az ports. I. INTRODUCTION Since the beginning of the computing, nobody really takes care of the notion of the energy-efficient. But since that the global warming becomes a real problem for the future.   Fig 1 Evolution of the carbon dioxide emission of several industries [1] And as we can see on the Figure 1, the Computers and Semiconductors carbon dioxide emission grow very fast from 1990 to 2008. So companies try to reduce their power consumption, to reduce their carbon footprint.                                                                                                                  Olivier Zhou Zheng is with the School of Technology, Oxford Brookes University, Wheatley Campus, Wheatley, Oxford, OX33 1HX, United Kingdom (e-mail: olivier.zheng@ieee.org)  
  • 2. Companies have understood that they can improve their reputation and they can also save money by reducing the power consumption. There are some certifications (Energy Star or EPEAT) made to certify that the equipment or the component has power consumption lower than some values, has some save mode or has a high efficient. For example, companies may use virtualization: services virtualization on one server can avoid having several servers. They avoid business trips by using video-conferencing solutions. With the expansion of the utilization of IP protocol, the Network’s energy consumption becomes a new problem. The network manufacturers understood this and try to develop some solutions: EnergyWise and the smart grid by Cisco, D-link Green by D-link are solutions which try to answer to this problem. Only the non-commercial solutions made to try to improve the energy consumption, and new approaches will be introduced. II. BACKGROUND There are already 2 non-commercial works, which are developing by the IETF, the IEEE. Theses 2 solutions are focused on 2 different levels in the network: the cable at the physical layer level, the network equipment at the application layer level. A. Approach from the IETF In 2008, The Register and Freeform Dynamics have made an online survey. Here is the result of the survey.   Fig 2 Result of a survey about IT energy accounting [2] As we can see on the Figure 2, 61% of the answer was “No, IT is not accountable”. So it shows one thing: before trying to decrease the energy consumption, it may be interesting to quantify this consumption. A working group has been created in September 2010 [3] in the IETF to propose a solution: the EMAN workgroup, EMAN stands for Energy MANagement. The main purpose of this working group is to define a framework about energy management, and to create a standardized (Management Information Base) on useful parameters in energy management. This working group has released 2 drafts in September 2010:
  • 3. -­‐ The draft named draft-tychon-eman-applicability-statement-00 defines the foundations of the EMAN framework [4]. -­‐ The draft named draft-parello-eman-energy-aware-mib-00 defines an energy management MIB [5]. The first draft explained the relation with the frameworks made by some others standardization organisations while the second draft is more concrete with the definition of the structure of the MIB, and the MIB itself. Theses 2 drafts of the EMAN working group is just the beginning: in the milestones of the group, 5 RFCs submissions are planned before December 2011. B. Approach from the IEEE In 2007, a working group has been created in the IEEE to propose another solution: the 802.3az workgroup. They are trying to give the ability to change the power consumption depending of the load on the Ethernet cable. The standard 802.3az or Energy Efficient Ethernet will allow the dynamic state transition of the energy consumption without interruption: if there is an energy transition during a file transfer, it is transparent for the user because there is no network interruption.   Fig 3 Illustration of the dynamic power transition with the data [6] The standard will introduce new states in the PHY (PHYsical layer) to allow the state transition. The standard 802.3az has just been ratified at the end of September 2010. Starting this date, there will be the interoperability with the EEE (Energy Efficient Ethernet) function. The main drawback of this standard is that it is a copper cable standard, there is nothing for the optical cable. It is not a standard for this kind of cable. III. NEW APPROACHES There are 2 new approaches: the first approach is to calculate a metric for each network equipment to evaluate their efficiency; the second approach is a network optimization method. A. Energy-efficient metrics The ECR (Energy Consumption Rating) metric, supported by the ECR initiative is a metric, which is focus on 2 parameters: the energy consumption and the capacity of the network equipment. The ECR is equal to the ratio of the energy consumption (in Watt) on the capacity (in bits per second). So more the ECR metric is low, more the network equipment is energy-efficient.
  • 4. The drawback of the ECR metric is that “ECR is a peak metric that reflects the highest performance capacity of the device.” [7]. Because the ECR metric is only a peak metric, it may not reflect the reality in utilization (when there are less load on the network, during the week/week-end or day/night utilization). To solve this problem, another metric has been defined: the EER (Energy Efficient Rating) metric. This metric corresponds to the ratio of the capacity of the network equipment on the energy consumption in different loads (full load, half load and idle). The main drawback of these 2 metrics is that the metric must be used to compare equipment with the same function: an user purchases a low ECR metric Core router and he uses it as a simple gateway router; he will lose money because of the price and because he didn’t need a Core router for him utilization. Another drawback is the metric with modular equipment; empty equipment will have a higher ECR metric than equipment with full module (even if the modules are energy consumption, the fact that they improve the capacity is higher than the energy consumption). Even if the metric is given on his normal utilization, the equipment may not be used in this normal utilization. B. MiDORi (Multi- (layer, path, and resources) Dynamically Optimized Routing) Network The MiDORi network is an optimized network with QoS (Quality of Service) requirements: all the flows are carried on some links to optimise the energy consumption. Ports may be deactivated; nodes may be shutdown, depending of the traffic. All the activation/deactivation processes are managed by a PCE. To have the optimized network starting a network topology, we need to calculate the energy consumption of each possibility. The team of Dr Yamanaka divides the combinations in groups to allow parallel computation with the Beeler’s algorithm on a processor [8]. In an enterprise network, this optimized network should be configured only in a part of it (the Core layer) and should use others energy consumption solutions in the other one (the Access layer). One drawback of this MiDORi network is that not very scalable in a non mesh topology (full mesh or partial mesh topology), because if one link is down, one part of the network can’t communicate anymore; it may be interesting when this part doesn’t send or receive traffic, but in others cases it’ll become a problem. Another drawback of the MiDORi network is that because it “aggregates the traffic and turn off vacant links” [8], there is no more possibility to have parallel links to have load balancing: sharing the traffic load on several links using link aggregation technology will no be possible on this network. The MiDORi goes again his purpose with a multihoming architecture (1 network connected to Internet using 2 links – each link connected to an ISP): in this architecture, it may have some routing policies related to this architecture, for example, route all the VoIP on the first link and the rest on the other link will allow the network administrator to avoid to have to define a QoS on the router with the VoIP traffic (because it will process only VoIP traffic). On the MiDORi network, there will be no multihoming architecture, because one link will be shutdown and all the traffic will be aggregated to the other link; so the network administrator will have to define twice the QoS policies (once per router).
  • 5. The last drawback of the implementation of this network is that because all the traffic will be aggregated on one link, the link may not be sufficient to answer to the needs, so it will create some latency on the network, which is not really recommended in time sensitive communications. But if the QoS is applied at the network boundaries, the QoS will be respected in this network because it affects just the routing (and may affect the latency – see above). IV. CONCLUSIONS To answer to the energy consumption problem in the network, we have described 4 methods: • The 802.3az will give the ability to set the power dynamically on the interface depending of the traffic load (more power when there is a high load, less power during the peak off) • The EMAN framework will give the ability to manage, to monitor and to configure the network devices to optimize the energy consumption of the network • The energy-efficiency metrics is more an indicator to help to choose energy-efficient equipment, but it may be use in algorithm to determine the most energy-efficient shortest path. • The MiDORi network is a network where the unoccupied components (links and nodes) are deactivated to save energy, to let only the most energy-efficient shortest path activated. Each solution may not be sufficient to save all the possible consumption, but the utilization of some of them may give interesting results. Each solution has to be implemented in the best position in the network to have the best impact on the power consumption of the network. V. REFERENCES [1] US EAI, “U.S. Carbon Dioxide Emissions from Energy Sources 2008 Flash Estimate” 2009. Available at http://www.eia.doe.gov/oiaf/1605/flash/flash.html [Accessed 20 November 2010] [2] Atherton, “Should the IT department be accountable for energy use?”. The Register February 2008. Available at http://www.theregister.co.uk/2008/02/08/it_accountable_energy_use/ [Accessed 20 November 2010] [3] IETF, “Energy Management (eman) – Charter” 2010. Available at https://datatracker.ietf.org/wg/eman/charter/ [Accessed 20 November 2010] [4] Tychon E, Laherty M and Schoening B, “Energy Management (EMAN) Applicability Statement” 2010. Available at https://datatracker.ietf.org/doc/draft-tychon-eman-applicability-statement/ [Accessed 20 November 2010] [5] Parello J and Claise B, “Energy-aware Networks and Devices MIB” 2010. Available at https://datatracker.ietf.org/doc/draft-parello-eman-energy-aware-mib/ [Accessed 20 November 2010] [6] Bennett M, “Energy Efficient Ethernet – Part of Energy Efficiency Regulation” 13th July 2009. Available at http://www.ethernetalliance.org/files/static_page_files/299ED43F-1D09-3519- ADF31F9173B5D30F/IEEE%20Energy%20Efficiency%20and%20Regulation.pdf [Accessed 20 November 2010] [7] Juniper, “Energy Efficiency for network equipment: two steps beyond greenwashing” 2010. Available at http://www.juniper.net/us/en/local/pdf/whitepapers/2000284-en.pdf [Accessed 20 November 2010] [8] Yamanaka N, Takashita H, Okamoto S and GAO S, “MiDORi: Energy efficient network based on optimizing network design tool, remote protocol and new layer-2 switch” – Paper presented at International Conference on Optical Internet 2010, The Shilla Jeju, Korea, 11-14th July 2010. Available at http://biblio.yamanaka.ics.keio.ac.jp/file/Yamanaka_COIN2010_WeB1-1.pdf [Accessible 20 November 2010]