SlideShare a Scribd company logo
 A network is a series
of points or nodes
interconnected by
communication
paths.
 Networking is the
construction, design,
and use of a network.
 A new study reveals that the information,
communication and technology (ICT) industry
contributes to about 2 percent of global carbon
dioxide emissions, the same amount that the
aviation industry produces.
 Researchers from the Centre for Energy-Efficient
Telecommunications (CEET) and Bell Labs have
estimated that the ICT industry, which
comprises Internet and cloud services,
discharges more than 830 million tons of carbon
dioxide every year.
 Carbon dioxide is one of the primary greenhouse
gases that is responsible for the increase in
global temperatures. CO2 is naturally present in
the Earth's atmosphere, but the emission levels
of the gas have significantly increased due to
human activities.
 Researchers involved in the new study have
projected that the emission of carbon by the ICT
sector is likely to double by the year 2020.
820m tons CO2
360m tons CO2
260m tons CO2
2007Worldwide ICT
carbon footprint:
2% = 830 m tons CO2
Comparable to the
global aviation
industry
Expected to grow
to 4% by 2020
The Climate Group, GeSI
Report “Smart 2020”, 2008
 Consciousness of environmental problems tied to
Greenhouse Gases (GHG) has increased in recent
years.
 All around the world, various studies started
highlighting the devastating effects of massive GHG
emissions and their consequences on climate change.
 According to a report published by the European
Union, a decrease in emission volume of 15%–30% is
required before year 2020 to keep the global
temperature increase below 2 ◦C.
 GHG effects are not limited to the environment,
though.
 Their influence on the economy have also been
investigated and their financial damage has been put
in perspective with the potential economical saving
that would follow GHG reduction.
 In particular, projected that a 1/3 reduction of the GHG
emissions may generate an economical saving higher
than the investment required to reach this goal.
 GHG reduction objectives involve many
industry branches, including the Information
and CommunicationTechnology (ICT) sector,
especially considering the penetration of
these technologies in everyday life.
 Indeed , the volume of CO2 emissions
produced by the ICT sector alone has been
estimated to be approximately 2 % of the
total man-made emissions.
 Energy becomes more expensive.
 People become more conscious of the
negative effects of energy consumption on
the environment.
 Reduction of unnecessary energy
consumption is becoming a major concern
because of the potential economical benefits
and of its expected environmental impact.
 Large-scale ICT infrastructures expanded rapidly and their
energy consumption grew drastically these last few years.
 As networks and data centers are generally prepared to
face high load conditions, these infrastructures are under-
utilized most of the time.
 Network equipments, in particular, could be switched off
when the load is low and switched on again when traffic
increases, or when a failure happens, requiring redundant
equipments to take the duty.
 There is, there, a clear direction to save energy.
 Data-centers and networking infrastructure involve
high-performance and high-availability machines.They
therefore rely on powerful devices, which require
energy-consuming air conditioning to sustain their
operation, and which are organized in a redundant
architecture.
 As these architectures are often designed to endure
peak load and degraded conditions, they are
underutilized in normal operation, leaving a large room
for energy savings.
 Select energy-efficient technologies and
products.
 Minimize resource use whenever possible.
 In recent years, valuable efforts have indeed
been dedicated to reducing unnecessary
energy expenditure which is called greening.
 Green is a simple approach of trying to live in
harmony with nature, whether in small increments,
or from the ground up, in terms of our living and
working environment.
• G - Generate less waste
• R - Recycle everything that cannot be reused
• E - Educate the community on eco-friendly options
• E - Evaluate the environmental impact of actions
• N- Nourish discussions and activities that integrate
environmental education into existing curriculum
 Greening of the networking technologies and
protocols.
 Optimize networking or make it more efficient,
reduce energy consumption, conserve
bandwidth.
 Embedding energy-awareness in the design, in
the devices and in the protocols of networks.
 Any process that will ultimately reduce energy
use and, indirectly, cost.
 Implementing virtualization.
 Practicing server consolidation.
 Upgrading older equipment for newer, more
energy-efficient products.
 Employing systems management to increase
efficiency.
 Substituting telecommuting, remote
administration and videoconferencing for
travel.
 Green networking is an initiative begun by many
telecommunication companies to reduce the
carbon dioxide emissions from base stations.
 Base station emissions are expected to peak at
22 megatons this year and with green initiatives
drop 30% to 15.6 megatons by 2014.
 If these measures are not instituted carbon
emissions are expected to rise to 35 megatons in
5 years.
 The objective of green networking is to aim at
the minimization of the GHG emissions.
 An obvious first step in this direction is to
enforce as much as possible the use of
renewable energy in ICT.
 Yet another natural track is to design low power
components, able to offer the same level of
performance.
 However, these are not the only leads: redesigning the
network architecture itself, for instance by de-locating
network equipment towards strategic places, may yield
substantial savings too for two main reasons.
 The first reason is related to the losses that appear when
energy is transported: the closer the consumption points
are to the production points, the lower this loss will be.
 The second reason is related to the cooling of electronic
devices: air-cooling represents an important share of the
energy expenditure in data centers and cold climates may
lessen this dependency.
 Google displaced their server farms to the banks
of the Columbia River to take advantage of the
energy offered by the hydroelectric power plants
nearby.
 The water flow provided by the river may in
addition be used within the cooling systems, as
experimented by Google, even though this may
lead to other environmental issues such as
seaweed proliferation if the water temperature
increases too much.
 An alternative cooling system, investigated by
Microsoft in the InTent and Marlow projects
consists in leaving servers in the open air so that
heating dissipates more easily.
 Canada advanced research and innovation
network (CANARIE) is strongly pushing in this
direction, especially using virtualization to ease
service geographical delocalization driven by the
energy source availability.
Green networking may be better seen as
“ a way to reduce energy required to
carry out a given task while maintaining the
same level of performance ”.
 Green Networking covers all aspects of the network (personal
computers, peripherals, switches, routers, and communication
media).
 Energy efficiencies of all network components must be optimized
to have a significant impact on the overall energy consumption by
these components.
 Consequently, these efficiencies gained by having a Green
Network will reduce CO2 emissions and thus will help mitigate
global warming.
 New ICT technologies must be explored and the benefits of these
technologies must be assessed in terms of energy efficiencies and
their associated benefits in minimizing the environmental impact
of ICT.
 Reduction of energy consumption.
 Improvement of energy efficiency.
 Consideration of the environmental impact of network components from
design to end of use.
 Integration of network infrastructure and network services; this
integration consolidates traditional different networks into one network.
 Making the network more intelligent; the intelligent network will be
more responsive, requiring less power to operate.
 Compliance with regulatory reporting requirements.
 Promotion of a cultural shift in thinking about how we can reduce carbon
emissions.
Desktop computers and monitors consume 39% of all electrical power used in
ICT. In 2002, this equated to 220 Mt (millions tons of CO2 emission).
 Old Cathode RayTube monitors should be replaced with
Liquid Crystal Display screens which reduce monitor
energy consumption by as much as 80%.
 Replacing all desktop PCs with laptops would achieve a
90% decrease in power consumption.
 Energy can also be saved by using power saving software
installed on desktops and running all the time.The power
saving software controls force PCs to go into standby
when not in use.
 Another option is to use solid state hard drives that use
50% less power than mechanical hard drives.
 Modern network switches perform various network
infrastructure tasks and as a result use considerable
power.
 PoE (Power over Ethernet) is a relative new technology
introduced into modern network switches. PoE switch
ports provide power for network devices as well as
transmit data.
 PoE switch ports are used by IP phones, wireless LAN
access points, and other network attached equipment.
PoE switch port can provide power to a connected device
and can scale back power when not required.
 One solution is to use a highly efficient power
supply within the network switch. By using a
highly efficient power supply we can save up to
800W.
 Another solution is to use power management
software built into the network switch.With
power management software, we can instruct
the network switch to turn off ports when not in
use.
 The main issue with Data Centers, with respect to Green
Networking, is their inefficient use of electrical power by the Data
Center components. In addition, electrical power generation from
coal becomes a critical issue.
 Data centers store a vast amount of data used on a daily basis by
users, companies, government, and academia. As the demand for
data has increased so has the size of Data Centers.
 Consequently, the power consumed has also increased. In 2003, a
typical Data Center consumed about 40Watts per square foot
energy, and in 2005 this figure has been raised to 120 Watts/sq ft
energy and it is anticipated that this figure will continue to rise.
 Due to the high power consumption by Data Centers, there are
some proposed solutions to save energy and make Data Centers
more energy efficient. Some of the solutions include :
 Taking the Data Center to the power source instead of taking the
power source to the DataCenter
 Consolidation and virtualization
 Improved server and storage performances, power management
 High efficiency power supplies
 Improved data center design.
 Traditionally the electrical power needed for Data Centers
is supplied by the electricity grid. Using alternate energy
sources at the Data Center is often impractical.
 The solution is to take the Data Center to the energy
source.The energy source could be solar, wind,
geothermal, or some combination of these alternate
forms of energy.
 Instead of the power traveling great distances, the data
would need to travel great distances. For this to be
feasible, we would require a broadband network
infrastructure.
 The vision of a Green Network is one where we can all have
thin clients using low energy consumption, connected via
wireless to the Internet, where all our data is securely stored
in highly efficient, reliable Data Centers typically running
at low energy per Gigabit per second speed.This can also include
access to network services from Cloud computing service
providers.
 Whatever the future is, Green Networking will help reduce the
carbon footprint of the ICT industry and hopefully lead the way in
a cultural shift that all of us need to make if we are to reverse the
global warming caused by human emissions of greenhouse gases.
 Finally, the issue of Efficiency versus Consumption is an interesting
argument, that is, efficiency drives consumption. ICT solutions can
solve efficiency; it is society that must solve consumption.
 To enable a “Green Network”, we must be able to monitor and
measure the savings associated with our green networking
strategies in place.
 A network energy efficiency baseline must be established from
which we can measure improvements and compare them with the
baseline.
 We must look at ways to develop meaningful measurements to
measure such power savings.
 In a low carbon “Green Networking” environment, instead of
considering bits per second (bps) we might need to consider
watts/bit to measure energy inefficiencies or perhaps a better
indicator would be bits per CO2 (b/co2).
Green Networking

More Related Content

What's hot

4G technology
4G technology4G technology
4G technology
Atul Kumar
 
Wireless technology from 0G to 7.5G
Wireless technology from 0G to 7.5GWireless technology from 0G to 7.5G
Wireless technology from 0G to 7.5G
Shashikanth M
 
Generations of network 1 g, 2g, 3g, 4g, 5g
Generations of network 1 g, 2g, 3g, 4g, 5gGenerations of network 1 g, 2g, 3g, 4g, 5g
Generations of network 1 g, 2g, 3g, 4g, 5g
Noor Mohammad's Faltoos
 
2.1 introduction to cellular architecture
2.1   introduction to cellular architecture2.1   introduction to cellular architecture
2.1 introduction to cellular architecture
JAIGANESH SEKAR
 
Cognitive radio network
Cognitive radio networkCognitive radio network
Cognitive radio networkSuhad Malayshi
 
Introduction to Massive Mimo
Introduction to Massive MimoIntroduction to Massive Mimo
Introduction to Massive Mimo
Ahmed Nasser Agag
 
Green Communication
Green CommunicationGreen Communication
Green CommunicationVARUN KUMAR
 
Cellular communication
Cellular communicationCellular communication
Cellular communication
shalet kochumuttath Shaji
 
Wireless communication for 8th sem EC VTU students
Wireless communication for 8th sem EC VTU studentsWireless communication for 8th sem EC VTU students
Wireless communication for 8th sem EC VTU students
SURESHA V
 
gi-fi :the next generation wireless technology
gi-fi :the next generation wireless technologygi-fi :the next generation wireless technology
gi-fi :the next generation wireless technology
Harshad Kale
 
5G Network - It's Architecture and Technology
5G Network - It's Architecture and Technology5G Network - It's Architecture and Technology
5G Network - It's Architecture and Technology
RajKumarRaj32
 
In building solutions ibs using distributed antenna system
In building solutions  ibs  using distributed antenna systemIn building solutions  ibs  using distributed antenna system
In building solutions ibs using distributed antenna systemIAEME Publication
 
5G Antenna Technology
5G Antenna Technology5G Antenna Technology
5G Antenna Technology
AL- AMIN
 
Ultra wideband technology (UWB)
Ultra wideband technology (UWB)Ultra wideband technology (UWB)
Ultra wideband technology (UWB)
Mustafa Khaleel
 
5 G Wireless Technology
5 G Wireless Technology5 G Wireless Technology
5 G Wireless Technology
Mudasir Ahmad Bhat
 
Cognitive radio networks
Cognitive radio networksCognitive radio networks
Cognitive radio networks
Vatsala Sharma
 
Local multipoint distribution service(lmds)
Local multipoint distribution service(lmds)Local multipoint distribution service(lmds)
Local multipoint distribution service(lmds)Vivek Kumar
 
Energy Efficient Cellular Base Stations based on the Characteristics of Ma...
   Energy Efficient Cellular Base Stations based on the Characteristics of Ma...   Energy Efficient Cellular Base Stations based on the Characteristics of Ma...
Energy Efficient Cellular Base Stations based on the Characteristics of Ma...
Rosdiadee Nordin
 
Massive mimo
Massive mimoMassive mimo
Massive mimo
Mustafa Khaleel
 
Energy efficient wireless technology
Energy efficient wireless technologyEnergy efficient wireless technology
Energy efficient wireless technology
Eisha Madhwal
 

What's hot (20)

4G technology
4G technology4G technology
4G technology
 
Wireless technology from 0G to 7.5G
Wireless technology from 0G to 7.5GWireless technology from 0G to 7.5G
Wireless technology from 0G to 7.5G
 
Generations of network 1 g, 2g, 3g, 4g, 5g
Generations of network 1 g, 2g, 3g, 4g, 5gGenerations of network 1 g, 2g, 3g, 4g, 5g
Generations of network 1 g, 2g, 3g, 4g, 5g
 
2.1 introduction to cellular architecture
2.1   introduction to cellular architecture2.1   introduction to cellular architecture
2.1 introduction to cellular architecture
 
Cognitive radio network
Cognitive radio networkCognitive radio network
Cognitive radio network
 
Introduction to Massive Mimo
Introduction to Massive MimoIntroduction to Massive Mimo
Introduction to Massive Mimo
 
Green Communication
Green CommunicationGreen Communication
Green Communication
 
Cellular communication
Cellular communicationCellular communication
Cellular communication
 
Wireless communication for 8th sem EC VTU students
Wireless communication for 8th sem EC VTU studentsWireless communication for 8th sem EC VTU students
Wireless communication for 8th sem EC VTU students
 
gi-fi :the next generation wireless technology
gi-fi :the next generation wireless technologygi-fi :the next generation wireless technology
gi-fi :the next generation wireless technology
 
5G Network - It's Architecture and Technology
5G Network - It's Architecture and Technology5G Network - It's Architecture and Technology
5G Network - It's Architecture and Technology
 
In building solutions ibs using distributed antenna system
In building solutions  ibs  using distributed antenna systemIn building solutions  ibs  using distributed antenna system
In building solutions ibs using distributed antenna system
 
5G Antenna Technology
5G Antenna Technology5G Antenna Technology
5G Antenna Technology
 
Ultra wideband technology (UWB)
Ultra wideband technology (UWB)Ultra wideband technology (UWB)
Ultra wideband technology (UWB)
 
5 G Wireless Technology
5 G Wireless Technology5 G Wireless Technology
5 G Wireless Technology
 
Cognitive radio networks
Cognitive radio networksCognitive radio networks
Cognitive radio networks
 
Local multipoint distribution service(lmds)
Local multipoint distribution service(lmds)Local multipoint distribution service(lmds)
Local multipoint distribution service(lmds)
 
Energy Efficient Cellular Base Stations based on the Characteristics of Ma...
   Energy Efficient Cellular Base Stations based on the Characteristics of Ma...   Energy Efficient Cellular Base Stations based on the Characteristics of Ma...
Energy Efficient Cellular Base Stations based on the Characteristics of Ma...
 
Massive mimo
Massive mimoMassive mimo
Massive mimo
 
Energy efficient wireless technology
Energy efficient wireless technologyEnergy efficient wireless technology
Energy efficient wireless technology
 

Viewers also liked

Green Communication: An Approach to Reduce Electromagnetic Hypersensitivity f...
Green Communication: An Approach to Reduce Electromagnetic Hypersensitivity f...Green Communication: An Approach to Reduce Electromagnetic Hypersensitivity f...
Green Communication: An Approach to Reduce Electromagnetic Hypersensitivity f...Neeraj Kumar
 
M型社會
M型社會M型社會
M型社會
Dennis Lin
 
字型散步2
字型散步2字型散步2
字型散步2
Dennis Lin
 
天王部落客教你把粉絲變成錢
天王部落客教你把粉絲變成錢天王部落客教你把粉絲變成錢
天王部落客教你把粉絲變成錢
Dennis Lin
 
隱私不保的年代
隱私不保的年代隱私不保的年代
隱私不保的年代
Dennis Lin
 
Leaflet effectief mentorschap 2014
Leaflet effectief mentorschap 2014Leaflet effectief mentorschap 2014
Leaflet effectief mentorschap 2014OpportunityinBedrijf
 
Pequeña industria
Pequeña industriaPequeña industria
Pequeña industria
Estefany Morles
 
PARA TERMOS UMA VI
PARA TERMOS UMA VIPARA TERMOS UMA VI
PARA TERMOS UMA VIAline Santos
 
Astral Media interview questions and answers
Astral Media interview questions and answersAstral Media interview questions and answers
Astral Media interview questions and answersllaisabe
 
Análisis de los tratados de los cambios climáticos
Análisis de los tratados de los cambios climáticosAnálisis de los tratados de los cambios climáticos
Análisis de los tratados de los cambios climáticos
Estefany Morles
 
大數據教育篇
大數據教育篇大數據教育篇
大數據教育篇
Dennis Lin
 
Energia eólica
Energia eólicaEnergia eólica
Energia eólica
GUSTAVO RAMIREZ HUAMAN
 
20150130 victor gau - 一週工作四小時
20150130   victor gau - 一週工作四小時20150130   victor gau - 一週工作四小時
20150130 victor gau - 一週工作四小時
Dennis Lin
 
執著的力量
執著的力量執著的力量
執著的力量
Dennis Lin
 
Proceso innovador en la pequeña Industria
Proceso innovador en la pequeña IndustriaProceso innovador en la pequeña Industria
Proceso innovador en la pequeña Industria
Estefany Morles
 
Presentación1desarrollo
Presentación1desarrolloPresentación1desarrollo
Presentación1desarrollo
Estefany Morles
 
Trabajo investigativo
Trabajo investigativo Trabajo investigativo
Trabajo investigativo Edwin990
 
Islam, the ultimate solution
Islam, the ultimate solutionIslam, the ultimate solution
Islam, the ultimate solution
Tarik Reza Toha
 

Viewers also liked (20)

Green Communication: An Approach to Reduce Electromagnetic Hypersensitivity f...
Green Communication: An Approach to Reduce Electromagnetic Hypersensitivity f...Green Communication: An Approach to Reduce Electromagnetic Hypersensitivity f...
Green Communication: An Approach to Reduce Electromagnetic Hypersensitivity f...
 
M型社會
M型社會M型社會
M型社會
 
字型散步2
字型散步2字型散步2
字型散步2
 
天王部落客教你把粉絲變成錢
天王部落客教你把粉絲變成錢天王部落客教你把粉絲變成錢
天王部落客教你把粉絲變成錢
 
隱私不保的年代
隱私不保的年代隱私不保的年代
隱私不保的年代
 
Leaflet effectief mentorschap 2014
Leaflet effectief mentorschap 2014Leaflet effectief mentorschap 2014
Leaflet effectief mentorschap 2014
 
Alp lcd
Alp lcdAlp lcd
Alp lcd
 
Pequeña industria
Pequeña industriaPequeña industria
Pequeña industria
 
PARA TERMOS UMA VI
PARA TERMOS UMA VIPARA TERMOS UMA VI
PARA TERMOS UMA VI
 
Astral Media interview questions and answers
Astral Media interview questions and answersAstral Media interview questions and answers
Astral Media interview questions and answers
 
Análisis de los tratados de los cambios climáticos
Análisis de los tratados de los cambios climáticosAnálisis de los tratados de los cambios climáticos
Análisis de los tratados de los cambios climáticos
 
大數據教育篇
大數據教育篇大數據教育篇
大數據教育篇
 
Nieuwe website www.opportunity.nl
Nieuwe website www.opportunity.nlNieuwe website www.opportunity.nl
Nieuwe website www.opportunity.nl
 
Energia eólica
Energia eólicaEnergia eólica
Energia eólica
 
20150130 victor gau - 一週工作四小時
20150130   victor gau - 一週工作四小時20150130   victor gau - 一週工作四小時
20150130 victor gau - 一週工作四小時
 
執著的力量
執著的力量執著的力量
執著的力量
 
Proceso innovador en la pequeña Industria
Proceso innovador en la pequeña IndustriaProceso innovador en la pequeña Industria
Proceso innovador en la pequeña Industria
 
Presentación1desarrollo
Presentación1desarrolloPresentación1desarrollo
Presentación1desarrollo
 
Trabajo investigativo
Trabajo investigativo Trabajo investigativo
Trabajo investigativo
 
Islam, the ultimate solution
Islam, the ultimate solutionIslam, the ultimate solution
Islam, the ultimate solution
 

Similar to Green Networking

On Vector Green Broadband
On Vector   Green BroadbandOn Vector   Green Broadband
On Vector Green Broadband
Bill St. Arnaud
 
Educause Green It Summit Nov 13
Educause Green It Summit   Nov 13Educause Green It Summit   Nov 13
Educause Green It Summit Nov 13
Bill St. Arnaud
 
009
009009
Impact of Climate Change on Academic Research
Impact of Climate Change on Academic ResearchImpact of Climate Change on Academic Research
Impact of Climate Change on Academic Research
Bill St. Arnaud
 
C017631521
C017631521C017631521
C017631521
IOSR Journals
 
Review on Green Networking Solutions
Review on Green Networking SolutionsReview on Green Networking Solutions
Review on Green Networking Solutions
iosrjce
 
A Study on:Green Cloud Computing
A Study on:Green Cloud ComputingA Study on:Green Cloud Computing
A Study on:Green Cloud Computing
Vineet Garg
 
F:\green it slidesv3 (2)
F:\green it slidesv3 (2)F:\green it slidesv3 (2)
F:\green it slidesv3 (2)
U.S. Department of Commerce
 
Improved performance through carbon aware green cloud policy
Improved performance through carbon aware green cloud policyImproved performance through carbon aware green cloud policy
Improved performance through carbon aware green cloud policy
Ijrdt Journal
 
Building A Zero Carbon Internet
Building A Zero Carbon InternetBuilding A Zero Carbon Internet
Building A Zero Carbon Internet
Bill St. Arnaud
 
Project GreenLight Measuring the Energy Cost of Applications, Algorithms, and...
Project GreenLight Measuring the Energy Cost of Applications, Algorithms, and...Project GreenLight Measuring the Energy Cost of Applications, Algorithms, and...
Project GreenLight Measuring the Energy Cost of Applications, Algorithms, and...
Larry Smarr
 
GreenLight CENIC Award
GreenLight CENIC AwardGreenLight CENIC Award
GreenLight CENIC Award
Jerry Sheehan
 
Boston Optical Fiber East May 10
Boston Optical Fiber East   May 10Boston Optical Fiber East   May 10
Boston Optical Fiber East May 10
Bill St. Arnaud
 
GREEN CLOUD COMPUTING BY SAIKIRAN PANJALA
GREEN CLOUD COMPUTING BY SAIKIRAN PANJALAGREEN CLOUD COMPUTING BY SAIKIRAN PANJALA
GREEN CLOUD COMPUTING BY SAIKIRAN PANJALA
Saikiran Panjala
 
IBM Science Meeting
IBM Science MeetingIBM Science Meeting
IBM Science Meeting
Bill St. Arnaud
 
Rob bristow sgl cardiff_2010
Rob bristow sgl cardiff_2010Rob bristow sgl cardiff_2010
Rob bristow sgl cardiff_2010Rob Bristow
 

Similar to Green Networking (20)

On Vector Green Broadband
On Vector   Green BroadbandOn Vector   Green Broadband
On Vector Green Broadband
 
Educause Green It Summit Nov 13
Educause Green It Summit   Nov 13Educause Green It Summit   Nov 13
Educause Green It Summit Nov 13
 
009
009009
009
 
Impact of Climate Change on Academic Research
Impact of Climate Change on Academic ResearchImpact of Climate Change on Academic Research
Impact of Climate Change on Academic Research
 
C017631521
C017631521C017631521
C017631521
 
Review on Green Networking Solutions
Review on Green Networking SolutionsReview on Green Networking Solutions
Review on Green Networking Solutions
 
A Study on:Green Cloud Computing
A Study on:Green Cloud ComputingA Study on:Green Cloud Computing
A Study on:Green Cloud Computing
 
F:\green it slidesv3 (2)
F:\green it slidesv3 (2)F:\green it slidesv3 (2)
F:\green it slidesv3 (2)
 
Ict for green
Ict for greenIct for green
Ict for green
 
Improved performance through carbon aware green cloud policy
Improved performance through carbon aware green cloud policyImproved performance through carbon aware green cloud policy
Improved performance through carbon aware green cloud policy
 
Building A Zero Carbon Internet
Building A Zero Carbon InternetBuilding A Zero Carbon Internet
Building A Zero Carbon Internet
 
FINAL
FINALFINAL
FINAL
 
Project GreenLight Measuring the Energy Cost of Applications, Algorithms, and...
Project GreenLight Measuring the Energy Cost of Applications, Algorithms, and...Project GreenLight Measuring the Energy Cost of Applications, Algorithms, and...
Project GreenLight Measuring the Energy Cost of Applications, Algorithms, and...
 
GreenLight CENIC Award
GreenLight CENIC AwardGreenLight CENIC Award
GreenLight CENIC Award
 
Boston Optical Fiber East May 10
Boston Optical Fiber East   May 10Boston Optical Fiber East   May 10
Boston Optical Fiber East May 10
 
The next wave of GreenIT
The next wave of GreenITThe next wave of GreenIT
The next wave of GreenIT
 
GREEN CLOUD COMPUTING BY SAIKIRAN PANJALA
GREEN CLOUD COMPUTING BY SAIKIRAN PANJALAGREEN CLOUD COMPUTING BY SAIKIRAN PANJALA
GREEN CLOUD COMPUTING BY SAIKIRAN PANJALA
 
IBM Science Meeting
IBM Science MeetingIBM Science Meeting
IBM Science Meeting
 
Rob bristow sgl cardiff_2010
Rob bristow sgl cardiff_2010Rob bristow sgl cardiff_2010
Rob bristow sgl cardiff_2010
 
Abstract
AbstractAbstract
Abstract
 

More from Tarik Reza Toha

An approach towards greening the digital display system
An approach towards greening the digital display systemAn approach towards greening the digital display system
An approach towards greening the digital display system
Tarik Reza Toha
 
Many-Objective Performance Enhancement in Computing Clusters
Many-Objective Performance Enhancement in Computing ClustersMany-Objective Performance Enhancement in Computing Clusters
Many-Objective Performance Enhancement in Computing Clusters
Tarik Reza Toha
 
Exploiting a Synergy between Greedy Approach and NSGA for Scheduling in Compu...
Exploiting a Synergy between Greedy Approach and NSGA for Scheduling in Compu...Exploiting a Synergy between Greedy Approach and NSGA for Scheduling in Compu...
Exploiting a Synergy between Greedy Approach and NSGA for Scheduling in Compu...
Tarik Reza Toha
 
Predicting Human Count through Environmental Sensing in Closed Indoor Settings
Predicting Human Count through Environmental Sensing in Closed Indoor SettingsPredicting Human Count through Environmental Sensing in Closed Indoor Settings
Predicting Human Count through Environmental Sensing in Closed Indoor Settings
Tarik Reza Toha
 
Automatic Fabric Defect Detection with a Wide-And-Compact Network
Automatic Fabric Defect Detection with a Wide-And-Compact NetworkAutomatic Fabric Defect Detection with a Wide-And-Compact Network
Automatic Fabric Defect Detection with a Wide-And-Compact Network
Tarik Reza Toha
 
Binarization of degraded document images based on hierarchical deep supervise...
Binarization of degraded document images based on hierarchical deep supervise...Binarization of degraded document images based on hierarchical deep supervise...
Binarization of degraded document images based on hierarchical deep supervise...
Tarik Reza Toha
 
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks—Countin...
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks—Countin...Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks—Countin...
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks—Countin...
Tarik Reza Toha
 
BGPC: Energy-Efficient Parallel Computing Considering Both Computational and ...
BGPC: Energy-Efficient Parallel Computing Considering Both Computational and ...BGPC: Energy-Efficient Parallel Computing Considering Both Computational and ...
BGPC: Energy-Efficient Parallel Computing Considering Both Computational and ...
Tarik Reza Toha
 
Towards Simulating Non-lane Based Heterogeneous Road Traffic of Less Develope...
Towards Simulating Non-lane Based Heterogeneous Road Traffic of Less Develope...Towards Simulating Non-lane Based Heterogeneous Road Traffic of Less Develope...
Towards Simulating Non-lane Based Heterogeneous Road Traffic of Less Develope...
Tarik Reza Toha
 
GMC: Greening MapReduce Clusters Considering both Computation Energy and Cool...
GMC: Greening MapReduce Clusters Considering both Computation Energy and Cool...GMC: Greening MapReduce Clusters Considering both Computation Energy and Cool...
GMC: Greening MapReduce Clusters Considering both Computation Energy and Cool...
Tarik Reza Toha
 
PNUTS: Yahoo!’s Hosted Data Serving Platform
PNUTS: Yahoo!’s Hosted Data Serving PlatformPNUTS: Yahoo!’s Hosted Data Serving Platform
PNUTS: Yahoo!’s Hosted Data Serving Platform
Tarik Reza Toha
 
Path shala
Path shalaPath shala
Path shala
Tarik Reza Toha
 
Towards Greening the Digital Display System
Towards Greening the Digital Display SystemTowards Greening the Digital Display System
Towards Greening the Digital Display System
Tarik Reza Toha
 
Workload-Based Prediction of CPU Temperature and Usage for Small-Scale Distri...
Workload-Based Prediction of CPU Temperature and Usage for Small-Scale Distri...Workload-Based Prediction of CPU Temperature and Usage for Small-Scale Distri...
Workload-Based Prediction of CPU Temperature and Usage for Small-Scale Distri...
Tarik Reza Toha
 
Towards Making an Anonymous and One-Stop Online Reporting System for Third-Wo...
Towards Making an Anonymous and One-Stop Online Reporting System for Third-Wo...Towards Making an Anonymous and One-Stop Online Reporting System for Third-Wo...
Towards Making an Anonymous and One-Stop Online Reporting System for Third-Wo...
Tarik Reza Toha
 
Sparse Mat: A Tale of Devising A Low-Cost Directional System for Pedestrian C...
Sparse Mat: A Tale of Devising A Low-Cost Directional System for Pedestrian C...Sparse Mat: A Tale of Devising A Low-Cost Directional System for Pedestrian C...
Sparse Mat: A Tale of Devising A Low-Cost Directional System for Pedestrian C...
Tarik Reza Toha
 
Smart Mat: A Low Cost People Counting Solution
Smart Mat: A Low Cost People Counting SolutionSmart Mat: A Low Cost People Counting Solution
Smart Mat: A Low Cost People Counting SolutionTarik Reza Toha
 
uReporter, an open public reporting system(SD)
uReporter, an open public reporting system(SD)uReporter, an open public reporting system(SD)
uReporter, an open public reporting system(SD)
Tarik Reza Toha
 
uReporter, a social problem reporting system (ISD+DB)
uReporter, a social problem reporting system (ISD+DB)uReporter, a social problem reporting system (ISD+DB)
uReporter, a social problem reporting system (ISD+DB)
Tarik Reza Toha
 
Euler trails and circuit
Euler trails and circuitEuler trails and circuit
Euler trails and circuit
Tarik Reza Toha
 

More from Tarik Reza Toha (20)

An approach towards greening the digital display system
An approach towards greening the digital display systemAn approach towards greening the digital display system
An approach towards greening the digital display system
 
Many-Objective Performance Enhancement in Computing Clusters
Many-Objective Performance Enhancement in Computing ClustersMany-Objective Performance Enhancement in Computing Clusters
Many-Objective Performance Enhancement in Computing Clusters
 
Exploiting a Synergy between Greedy Approach and NSGA for Scheduling in Compu...
Exploiting a Synergy between Greedy Approach and NSGA for Scheduling in Compu...Exploiting a Synergy between Greedy Approach and NSGA for Scheduling in Compu...
Exploiting a Synergy between Greedy Approach and NSGA for Scheduling in Compu...
 
Predicting Human Count through Environmental Sensing in Closed Indoor Settings
Predicting Human Count through Environmental Sensing in Closed Indoor SettingsPredicting Human Count through Environmental Sensing in Closed Indoor Settings
Predicting Human Count through Environmental Sensing in Closed Indoor Settings
 
Automatic Fabric Defect Detection with a Wide-And-Compact Network
Automatic Fabric Defect Detection with a Wide-And-Compact NetworkAutomatic Fabric Defect Detection with a Wide-And-Compact Network
Automatic Fabric Defect Detection with a Wide-And-Compact Network
 
Binarization of degraded document images based on hierarchical deep supervise...
Binarization of degraded document images based on hierarchical deep supervise...Binarization of degraded document images based on hierarchical deep supervise...
Binarization of degraded document images based on hierarchical deep supervise...
 
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks—Countin...
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks—Countin...Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks—Countin...
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks—Countin...
 
BGPC: Energy-Efficient Parallel Computing Considering Both Computational and ...
BGPC: Energy-Efficient Parallel Computing Considering Both Computational and ...BGPC: Energy-Efficient Parallel Computing Considering Both Computational and ...
BGPC: Energy-Efficient Parallel Computing Considering Both Computational and ...
 
Towards Simulating Non-lane Based Heterogeneous Road Traffic of Less Develope...
Towards Simulating Non-lane Based Heterogeneous Road Traffic of Less Develope...Towards Simulating Non-lane Based Heterogeneous Road Traffic of Less Develope...
Towards Simulating Non-lane Based Heterogeneous Road Traffic of Less Develope...
 
GMC: Greening MapReduce Clusters Considering both Computation Energy and Cool...
GMC: Greening MapReduce Clusters Considering both Computation Energy and Cool...GMC: Greening MapReduce Clusters Considering both Computation Energy and Cool...
GMC: Greening MapReduce Clusters Considering both Computation Energy and Cool...
 
PNUTS: Yahoo!’s Hosted Data Serving Platform
PNUTS: Yahoo!’s Hosted Data Serving PlatformPNUTS: Yahoo!’s Hosted Data Serving Platform
PNUTS: Yahoo!’s Hosted Data Serving Platform
 
Path shala
Path shalaPath shala
Path shala
 
Towards Greening the Digital Display System
Towards Greening the Digital Display SystemTowards Greening the Digital Display System
Towards Greening the Digital Display System
 
Workload-Based Prediction of CPU Temperature and Usage for Small-Scale Distri...
Workload-Based Prediction of CPU Temperature and Usage for Small-Scale Distri...Workload-Based Prediction of CPU Temperature and Usage for Small-Scale Distri...
Workload-Based Prediction of CPU Temperature and Usage for Small-Scale Distri...
 
Towards Making an Anonymous and One-Stop Online Reporting System for Third-Wo...
Towards Making an Anonymous and One-Stop Online Reporting System for Third-Wo...Towards Making an Anonymous and One-Stop Online Reporting System for Third-Wo...
Towards Making an Anonymous and One-Stop Online Reporting System for Third-Wo...
 
Sparse Mat: A Tale of Devising A Low-Cost Directional System for Pedestrian C...
Sparse Mat: A Tale of Devising A Low-Cost Directional System for Pedestrian C...Sparse Mat: A Tale of Devising A Low-Cost Directional System for Pedestrian C...
Sparse Mat: A Tale of Devising A Low-Cost Directional System for Pedestrian C...
 
Smart Mat: A Low Cost People Counting Solution
Smart Mat: A Low Cost People Counting SolutionSmart Mat: A Low Cost People Counting Solution
Smart Mat: A Low Cost People Counting Solution
 
uReporter, an open public reporting system(SD)
uReporter, an open public reporting system(SD)uReporter, an open public reporting system(SD)
uReporter, an open public reporting system(SD)
 
uReporter, a social problem reporting system (ISD+DB)
uReporter, a social problem reporting system (ISD+DB)uReporter, a social problem reporting system (ISD+DB)
uReporter, a social problem reporting system (ISD+DB)
 
Euler trails and circuit
Euler trails and circuitEuler trails and circuit
Euler trails and circuit
 

Recently uploaded

Railway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdfRailway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdf
TeeVichai
 
Gen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdfGen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdf
gdsczhcet
 
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
H.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdfH.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdf
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
MLILAB
 
WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234
AafreenAbuthahir2
 
Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacks
gerogepatton
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
Kamal Acharya
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
R&R Consult
 
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSE
TECHNICAL TRAINING MANUAL   GENERAL FAMILIARIZATION COURSETECHNICAL TRAINING MANUAL   GENERAL FAMILIARIZATION COURSE
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSE
DuvanRamosGarzon1
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
Neometrix_Engineering_Pvt_Ltd
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
Massimo Talia
 
Architectural Portfolio Sean Lockwood
Architectural Portfolio Sean LockwoodArchitectural Portfolio Sean Lockwood
Architectural Portfolio Sean Lockwood
seandesed
 
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdf
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfCOLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdf
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdf
Kamal Acharya
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
karthi keyan
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
ankuprajapati0525
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
AJAYKUMARPUND1
 
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdfAKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
SamSarthak3
 
addressing modes in computer architecture
addressing modes  in computer architectureaddressing modes  in computer architecture
addressing modes in computer architecture
ShahidSultan24
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
VENKATESHvenky89705
 
J.Yang, ICLR 2024, MLILAB, KAIST AI.pdf
J.Yang,  ICLR 2024, MLILAB, KAIST AI.pdfJ.Yang,  ICLR 2024, MLILAB, KAIST AI.pdf
J.Yang, ICLR 2024, MLILAB, KAIST AI.pdf
MLILAB
 
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdfTop 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Teleport Manpower Consultant
 

Recently uploaded (20)

Railway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdfRailway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdf
 
Gen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdfGen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdf
 
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
H.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdfH.Seo,  ICLR 2024, MLILAB,  KAIST AI.pdf
H.Seo, ICLR 2024, MLILAB, KAIST AI.pdf
 
WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234WATER CRISIS and its solutions-pptx 1234
WATER CRISIS and its solutions-pptx 1234
 
Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacks
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
 
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSE
TECHNICAL TRAINING MANUAL   GENERAL FAMILIARIZATION COURSETECHNICAL TRAINING MANUAL   GENERAL FAMILIARIZATION COURSE
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSE
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
 
Architectural Portfolio Sean Lockwood
Architectural Portfolio Sean LockwoodArchitectural Portfolio Sean Lockwood
Architectural Portfolio Sean Lockwood
 
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdf
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfCOLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdf
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdf
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
 
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdfAKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
 
addressing modes in computer architecture
addressing modes  in computer architectureaddressing modes  in computer architecture
addressing modes in computer architecture
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
 
J.Yang, ICLR 2024, MLILAB, KAIST AI.pdf
J.Yang,  ICLR 2024, MLILAB, KAIST AI.pdfJ.Yang,  ICLR 2024, MLILAB, KAIST AI.pdf
J.Yang, ICLR 2024, MLILAB, KAIST AI.pdf
 
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdfTop 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
 

Green Networking

  • 1.
  • 2.
  • 3.  A network is a series of points or nodes interconnected by communication paths.  Networking is the construction, design, and use of a network.
  • 4.
  • 5.  A new study reveals that the information, communication and technology (ICT) industry contributes to about 2 percent of global carbon dioxide emissions, the same amount that the aviation industry produces.  Researchers from the Centre for Energy-Efficient Telecommunications (CEET) and Bell Labs have estimated that the ICT industry, which comprises Internet and cloud services, discharges more than 830 million tons of carbon dioxide every year.
  • 6.  Carbon dioxide is one of the primary greenhouse gases that is responsible for the increase in global temperatures. CO2 is naturally present in the Earth's atmosphere, but the emission levels of the gas have significantly increased due to human activities.  Researchers involved in the new study have projected that the emission of carbon by the ICT sector is likely to double by the year 2020.
  • 7. 820m tons CO2 360m tons CO2 260m tons CO2 2007Worldwide ICT carbon footprint: 2% = 830 m tons CO2 Comparable to the global aviation industry Expected to grow to 4% by 2020 The Climate Group, GeSI Report “Smart 2020”, 2008
  • 8.  Consciousness of environmental problems tied to Greenhouse Gases (GHG) has increased in recent years.  All around the world, various studies started highlighting the devastating effects of massive GHG emissions and their consequences on climate change.  According to a report published by the European Union, a decrease in emission volume of 15%–30% is required before year 2020 to keep the global temperature increase below 2 ◦C.
  • 9.  GHG effects are not limited to the environment, though.  Their influence on the economy have also been investigated and their financial damage has been put in perspective with the potential economical saving that would follow GHG reduction.  In particular, projected that a 1/3 reduction of the GHG emissions may generate an economical saving higher than the investment required to reach this goal.
  • 10.  GHG reduction objectives involve many industry branches, including the Information and CommunicationTechnology (ICT) sector, especially considering the penetration of these technologies in everyday life.  Indeed , the volume of CO2 emissions produced by the ICT sector alone has been estimated to be approximately 2 % of the total man-made emissions.
  • 11.  Energy becomes more expensive.  People become more conscious of the negative effects of energy consumption on the environment.  Reduction of unnecessary energy consumption is becoming a major concern because of the potential economical benefits and of its expected environmental impact.
  • 12.  Large-scale ICT infrastructures expanded rapidly and their energy consumption grew drastically these last few years.  As networks and data centers are generally prepared to face high load conditions, these infrastructures are under- utilized most of the time.  Network equipments, in particular, could be switched off when the load is low and switched on again when traffic increases, or when a failure happens, requiring redundant equipments to take the duty.  There is, there, a clear direction to save energy.
  • 13.  Data-centers and networking infrastructure involve high-performance and high-availability machines.They therefore rely on powerful devices, which require energy-consuming air conditioning to sustain their operation, and which are organized in a redundant architecture.  As these architectures are often designed to endure peak load and degraded conditions, they are underutilized in normal operation, leaving a large room for energy savings.
  • 14.  Select energy-efficient technologies and products.  Minimize resource use whenever possible.  In recent years, valuable efforts have indeed been dedicated to reducing unnecessary energy expenditure which is called greening.
  • 15.  Green is a simple approach of trying to live in harmony with nature, whether in small increments, or from the ground up, in terms of our living and working environment. • G - Generate less waste • R - Recycle everything that cannot be reused • E - Educate the community on eco-friendly options • E - Evaluate the environmental impact of actions • N- Nourish discussions and activities that integrate environmental education into existing curriculum
  • 16.  Greening of the networking technologies and protocols.  Optimize networking or make it more efficient, reduce energy consumption, conserve bandwidth.  Embedding energy-awareness in the design, in the devices and in the protocols of networks.  Any process that will ultimately reduce energy use and, indirectly, cost.
  • 17.  Implementing virtualization.  Practicing server consolidation.  Upgrading older equipment for newer, more energy-efficient products.  Employing systems management to increase efficiency.  Substituting telecommuting, remote administration and videoconferencing for travel.
  • 18.  Green networking is an initiative begun by many telecommunication companies to reduce the carbon dioxide emissions from base stations.  Base station emissions are expected to peak at 22 megatons this year and with green initiatives drop 30% to 15.6 megatons by 2014.  If these measures are not instituted carbon emissions are expected to rise to 35 megatons in 5 years.
  • 19.  The objective of green networking is to aim at the minimization of the GHG emissions.  An obvious first step in this direction is to enforce as much as possible the use of renewable energy in ICT.  Yet another natural track is to design low power components, able to offer the same level of performance.
  • 20.  However, these are not the only leads: redesigning the network architecture itself, for instance by de-locating network equipment towards strategic places, may yield substantial savings too for two main reasons.  The first reason is related to the losses that appear when energy is transported: the closer the consumption points are to the production points, the lower this loss will be.  The second reason is related to the cooling of electronic devices: air-cooling represents an important share of the energy expenditure in data centers and cold climates may lessen this dependency.
  • 21.  Google displaced their server farms to the banks of the Columbia River to take advantage of the energy offered by the hydroelectric power plants nearby.  The water flow provided by the river may in addition be used within the cooling systems, as experimented by Google, even though this may lead to other environmental issues such as seaweed proliferation if the water temperature increases too much.
  • 22.  An alternative cooling system, investigated by Microsoft in the InTent and Marlow projects consists in leaving servers in the open air so that heating dissipates more easily.  Canada advanced research and innovation network (CANARIE) is strongly pushing in this direction, especially using virtualization to ease service geographical delocalization driven by the energy source availability.
  • 23. Green networking may be better seen as “ a way to reduce energy required to carry out a given task while maintaining the same level of performance ”.
  • 24.  Green Networking covers all aspects of the network (personal computers, peripherals, switches, routers, and communication media).  Energy efficiencies of all network components must be optimized to have a significant impact on the overall energy consumption by these components.  Consequently, these efficiencies gained by having a Green Network will reduce CO2 emissions and thus will help mitigate global warming.  New ICT technologies must be explored and the benefits of these technologies must be assessed in terms of energy efficiencies and their associated benefits in minimizing the environmental impact of ICT.
  • 25.  Reduction of energy consumption.  Improvement of energy efficiency.  Consideration of the environmental impact of network components from design to end of use.  Integration of network infrastructure and network services; this integration consolidates traditional different networks into one network.  Making the network more intelligent; the intelligent network will be more responsive, requiring less power to operate.  Compliance with regulatory reporting requirements.  Promotion of a cultural shift in thinking about how we can reduce carbon emissions.
  • 26. Desktop computers and monitors consume 39% of all electrical power used in ICT. In 2002, this equated to 220 Mt (millions tons of CO2 emission).
  • 27.  Old Cathode RayTube monitors should be replaced with Liquid Crystal Display screens which reduce monitor energy consumption by as much as 80%.  Replacing all desktop PCs with laptops would achieve a 90% decrease in power consumption.  Energy can also be saved by using power saving software installed on desktops and running all the time.The power saving software controls force PCs to go into standby when not in use.  Another option is to use solid state hard drives that use 50% less power than mechanical hard drives.
  • 28.  Modern network switches perform various network infrastructure tasks and as a result use considerable power.  PoE (Power over Ethernet) is a relative new technology introduced into modern network switches. PoE switch ports provide power for network devices as well as transmit data.  PoE switch ports are used by IP phones, wireless LAN access points, and other network attached equipment. PoE switch port can provide power to a connected device and can scale back power when not required.
  • 29.  One solution is to use a highly efficient power supply within the network switch. By using a highly efficient power supply we can save up to 800W.  Another solution is to use power management software built into the network switch.With power management software, we can instruct the network switch to turn off ports when not in use.
  • 30.  The main issue with Data Centers, with respect to Green Networking, is their inefficient use of electrical power by the Data Center components. In addition, electrical power generation from coal becomes a critical issue.  Data centers store a vast amount of data used on a daily basis by users, companies, government, and academia. As the demand for data has increased so has the size of Data Centers.  Consequently, the power consumed has also increased. In 2003, a typical Data Center consumed about 40Watts per square foot energy, and in 2005 this figure has been raised to 120 Watts/sq ft energy and it is anticipated that this figure will continue to rise.
  • 31.
  • 32.  Due to the high power consumption by Data Centers, there are some proposed solutions to save energy and make Data Centers more energy efficient. Some of the solutions include :  Taking the Data Center to the power source instead of taking the power source to the DataCenter  Consolidation and virtualization  Improved server and storage performances, power management  High efficiency power supplies  Improved data center design.
  • 33.  Traditionally the electrical power needed for Data Centers is supplied by the electricity grid. Using alternate energy sources at the Data Center is often impractical.  The solution is to take the Data Center to the energy source.The energy source could be solar, wind, geothermal, or some combination of these alternate forms of energy.  Instead of the power traveling great distances, the data would need to travel great distances. For this to be feasible, we would require a broadband network infrastructure.
  • 34.  The vision of a Green Network is one where we can all have thin clients using low energy consumption, connected via wireless to the Internet, where all our data is securely stored in highly efficient, reliable Data Centers typically running at low energy per Gigabit per second speed.This can also include access to network services from Cloud computing service providers.  Whatever the future is, Green Networking will help reduce the carbon footprint of the ICT industry and hopefully lead the way in a cultural shift that all of us need to make if we are to reverse the global warming caused by human emissions of greenhouse gases.  Finally, the issue of Efficiency versus Consumption is an interesting argument, that is, efficiency drives consumption. ICT solutions can solve efficiency; it is society that must solve consumption.
  • 35.  To enable a “Green Network”, we must be able to monitor and measure the savings associated with our green networking strategies in place.  A network energy efficiency baseline must be established from which we can measure improvements and compare them with the baseline.  We must look at ways to develop meaningful measurements to measure such power savings.  In a low carbon “Green Networking” environment, instead of considering bits per second (bps) we might need to consider watts/bit to measure energy inefficiencies or perhaps a better indicator would be bits per CO2 (b/co2).