Impacts of Green IT
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This article discusses the impacts of Green IT on the environment and industries. It explores the concept of Green IT, its components, and its benefits. The article covers topics such as sustainable computing, energy efficiency, and the use of eco-friendly solutions. It also discusses the advances made in Green IT, including green cloud computing, green mobile computing, green Internet of Things (IoT), and green big data analytics. Overall, the article highlights the importance of Green IT in promoting environmental sustainability and efficiency in the IT sector.
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Running head: IMPACTS OF GREEN IT
Impacts of Green IT
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Impacts of Green IT
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1IMPACTS OF GREEN IT
Table of Contents
1. Introduction.................................................................................................2
2. Discussion....................................................................................................2
3. Conclusion...................................................................................................8
References.....................................................................................................10
Table of Contents
1. Introduction.................................................................................................2
2. Discussion....................................................................................................2
3. Conclusion...................................................................................................8
References.....................................................................................................10
2IMPACTS OF GREEN IT
1. Introduction
Green IT can be defined as the certain practice as environment friendly
form of sustainable computing. The primary aim of Green IT would be to
maximize the different kind of negative impact based on IT operations that
are made over the environment (Molla, Abareshi and Cooper 2014). The
various kind of computing operations, which are performed are based on
designing of certain computing aspects, manufacturing them, operating
them and disposal of computer and other related products in an
environmental friendly process. The primary motive for the implication of
Green IT would be based on reduction of different forms of hazardous
materials, maximizing the efficiency of energy during the lifetime of product
and thus promoting the use of biodegradable and outdated products.
The primary concept of Green IT had mainly emerged in the year 1992
during the time when the U.S Environmental Protection Agency had launched
Energy Star. It was a voluntary program that had their main aim for saving
energy and money within every organisation. The program also had aims for
reducing the different emissions of greenhouse gases that would provide
superior form of efficiency of energy (Deng and Ji 2015). There are different
kind of components based on Green IT, which includes the controlling of
growing popularity based on virtualization, redesigning of data centers, cloud
computing and green networking. There are many private and governmental
organisation who are in the process for implementing new standards that
would regulate the effect of green computing within their organisation.
2. Discussion
In the recent times, there is a wide kind of use of different usage of
Green IT technology that are implemented by different organisations to bring
various kind of impacts towards their sectors. Green IT would generally be
defined as the term that refers to efficient of useful resources based on
computing factors (Kharchenko and Illiashenko 2017). The factor of
1. Introduction
Green IT can be defined as the certain practice as environment friendly
form of sustainable computing. The primary aim of Green IT would be to
maximize the different kind of negative impact based on IT operations that
are made over the environment (Molla, Abareshi and Cooper 2014). The
various kind of computing operations, which are performed are based on
designing of certain computing aspects, manufacturing them, operating
them and disposal of computer and other related products in an
environmental friendly process. The primary motive for the implication of
Green IT would be based on reduction of different forms of hazardous
materials, maximizing the efficiency of energy during the lifetime of product
and thus promoting the use of biodegradable and outdated products.
The primary concept of Green IT had mainly emerged in the year 1992
during the time when the U.S Environmental Protection Agency had launched
Energy Star. It was a voluntary program that had their main aim for saving
energy and money within every organisation. The program also had aims for
reducing the different emissions of greenhouse gases that would provide
superior form of efficiency of energy (Deng and Ji 2015). There are different
kind of components based on Green IT, which includes the controlling of
growing popularity based on virtualization, redesigning of data centers, cloud
computing and green networking. There are many private and governmental
organisation who are in the process for implementing new standards that
would regulate the effect of green computing within their organisation.
2. Discussion
In the recent times, there is a wide kind of use of different usage of
Green IT technology that are implemented by different organisations to bring
various kind of impacts towards their sectors. Green IT would generally be
defined as the term that refers to efficient of useful resources based on
computing factors (Kharchenko and Illiashenko 2017). The factor of
3IMPACTS OF GREEN IT
efficiency based on Green IT would mainly emphasize on minimizing the
factor of hazardous factors based within environment. It would also help in
bringing a broad spectrum of different kind of subjects. The entire area of
Green IT would cover a wide range of aspects. This includes – sustainable
form of digital services, alternative methods of generation of energy and
varies techniques for reducing the consumption of energy (Tushi, Sedera and
Recker 2014). There are many organisations who are highly focused on using
different kind of eco-friendly solutions that would help in reducing the
negative impacts made by the use of IT. There are some kind of technical
issues based on the impacts of green technology (Zhang and Xie 2015).
These include: use of green hardware, green infrastructure, using of energy
efficient server design, green hardware systems and solid-state storage
systems.
Based on the purpose of achieving social awareness in relation to
green computing and promoting the solutions based on green technology,
the different complementary approaches could be highly employed.
1. Green Disposal – The organisations focused of implementing
Green IT within their organisational services could reuse the existing
computers and different other kind of existing devices associated with their
recycling of used and unwanted computers (Azmal et al. 2014). Different
other forms of electronic wastes by different IT vendors could be helpful for
enabling the full lifecycle of the products that are used by them.
2. Green Use – This process defines the reduction of power
consumption of computers and different other forms of information systems
(Ali et al. 2016). Different other peripheral subsystems that would be highly
eco-friendly in nature would be used within the industries.
3. Green Design – The various connecting companies, environmental
organisations and government organisations could help themselves based on
the development of regulatory and business processes. Inventive
efficiency based on Green IT would mainly emphasize on minimizing the
factor of hazardous factors based within environment. It would also help in
bringing a broad spectrum of different kind of subjects. The entire area of
Green IT would cover a wide range of aspects. This includes – sustainable
form of digital services, alternative methods of generation of energy and
varies techniques for reducing the consumption of energy (Tushi, Sedera and
Recker 2014). There are many organisations who are highly focused on using
different kind of eco-friendly solutions that would help in reducing the
negative impacts made by the use of IT. There are some kind of technical
issues based on the impacts of green technology (Zhang and Xie 2015).
These include: use of green hardware, green infrastructure, using of energy
efficient server design, green hardware systems and solid-state storage
systems.
Based on the purpose of achieving social awareness in relation to
green computing and promoting the solutions based on green technology,
the different complementary approaches could be highly employed.
1. Green Disposal – The organisations focused of implementing
Green IT within their organisational services could reuse the existing
computers and different other kind of existing devices associated with their
recycling of used and unwanted computers (Azmal et al. 2014). Different
other forms of electronic wastes by different IT vendors could be helpful for
enabling the full lifecycle of the products that are used by them.
2. Green Use – This process defines the reduction of power
consumption of computers and different other forms of information systems
(Ali et al. 2016). Different other peripheral subsystems that would be highly
eco-friendly in nature would be used within the industries.
3. Green Design – The various connecting companies, environmental
organisations and government organisations could help themselves based on
the development of regulatory and business processes. Inventive
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4IMPACTS OF GREEN IT
management could also be introduced within the systems (Russo and Rizzi
2014). in a practical and narrow aspect, the designing of eco-friendly
computers and bringing efficiency in power and their subsystems could be
introduced. Various forms of improvements could be made in relation to the
aspect of cooling equipment and server systems.
4. Green Manufacturing – There is a certain kind of process based on
production of computers and the different forms of associated devices that
are produced by the manufacturing companies. In the recent times, the
major trend of production of computer parts and equipment is based on
manufacturing biodegradable components (Govindan, Diabat and Shankar
2015). The approach based on green manufacturing is based on producing
biodegradable components for bringing minimal and no forms of impact
toward the organisations. The approach would also help in providing
efficiency within the business processes and incurring long-term cost savings
on various equipment.
The four discussed approaches help in covering a wide range of issues.
They are also helpful for implementing different kind of efforts and actions
based on meeting the needs of efficient use of computing devices. Such kind
of development of green procedures within the industries have their main
aims for achievement of sustainability within the industries. In the past
years, it has been seen that different computer vendors and manufacturers
would be directly responsible for contributing towards pollution (Li et al.
2016). These IT industries would have hidden forms of impact based on
environmental pollution that would be mainly caused with the factors of
power consumption and the inefficient form of use of hardware devices.
Based on the impacts of green computing and use of environment-
friendly devices within the IT sector, it could be understood that such kind of
technology could be useful for the proliferation of computing sectors. The
industries are making big advantages of such kind of concepts based on
bringing in better kind of impacts within the organisation. Some of the major
management could also be introduced within the systems (Russo and Rizzi
2014). in a practical and narrow aspect, the designing of eco-friendly
computers and bringing efficiency in power and their subsystems could be
introduced. Various forms of improvements could be made in relation to the
aspect of cooling equipment and server systems.
4. Green Manufacturing – There is a certain kind of process based on
production of computers and the different forms of associated devices that
are produced by the manufacturing companies. In the recent times, the
major trend of production of computer parts and equipment is based on
manufacturing biodegradable components (Govindan, Diabat and Shankar
2015). The approach based on green manufacturing is based on producing
biodegradable components for bringing minimal and no forms of impact
toward the organisations. The approach would also help in providing
efficiency within the business processes and incurring long-term cost savings
on various equipment.
The four discussed approaches help in covering a wide range of issues.
They are also helpful for implementing different kind of efforts and actions
based on meeting the needs of efficient use of computing devices. Such kind
of development of green procedures within the industries have their main
aims for achievement of sustainability within the industries. In the past
years, it has been seen that different computer vendors and manufacturers
would be directly responsible for contributing towards pollution (Li et al.
2016). These IT industries would have hidden forms of impact based on
environmental pollution that would be mainly caused with the factors of
power consumption and the inefficient form of use of hardware devices.
Based on the impacts of green computing and use of environment-
friendly devices within the IT sector, it could be understood that such kind of
technology could be useful for the proliferation of computing sectors. The
industries are making big advantages of such kind of concepts based on
bringing in better kind of impacts within the organisation. Some of the major
5IMPACTS OF GREEN IT
advances that have been made in the sector of Green IT are discussed as
follows:
1. Green Cloud Computing – The Cloud Data Centers (CDC) helps in
supporting a broad range of services that would have high performance of
computing resources. This kind of computing would be able to scale the large
form of data analytics that would be provided to the end users. The massive
scale of data produced from the data centers would be mostly set up at
different geographical locations based on facilitating the distributed users for
contributing to the 25% for the total electric share (Gai et al. 2016). The data
centers that are supported by cloud resources are primarily managed with
the help of virtualisation technology that would mainly reside in the form of
physical resources. The primary objective of the virtualisation technology
present within the cloud data centers would be to provide a flexible and
scalable form of operations. Increasing form of use of such kind of
technology would be mainly used for performing the efficiency of energy and
consolidation of resources.
The cloud data centers would be mainly operating with the help of
renewable resources of energy that would lead to zero form of GHG
emissions (Shu, Wang and Wang 2014). The renewable energy gathered
from different sources could be useful for generating the on-site installations.
These could also be purchased from the off-site corporations.
2. Green Mobile Computing – In the recent times, there is a rapid
increase of the number of smartphones that are used within the market. The
smartphones that are used within the recent generations are primarily
equipped with high form of storage capacity and have high form of
computational power that would be able to perform intensive tasks. The high
form of use of mobile computing services have hugely lessened the use of
desktop based computers (Benkhelifa et al. 2015). As a certain result, the
requirements of the applications designed for smartphones have increased
rapidly. In the recent times, the applications within the smartphones
advances that have been made in the sector of Green IT are discussed as
follows:
1. Green Cloud Computing – The Cloud Data Centers (CDC) helps in
supporting a broad range of services that would have high performance of
computing resources. This kind of computing would be able to scale the large
form of data analytics that would be provided to the end users. The massive
scale of data produced from the data centers would be mostly set up at
different geographical locations based on facilitating the distributed users for
contributing to the 25% for the total electric share (Gai et al. 2016). The data
centers that are supported by cloud resources are primarily managed with
the help of virtualisation technology that would mainly reside in the form of
physical resources. The primary objective of the virtualisation technology
present within the cloud data centers would be to provide a flexible and
scalable form of operations. Increasing form of use of such kind of
technology would be mainly used for performing the efficiency of energy and
consolidation of resources.
The cloud data centers would be mainly operating with the help of
renewable resources of energy that would lead to zero form of GHG
emissions (Shu, Wang and Wang 2014). The renewable energy gathered
from different sources could be useful for generating the on-site installations.
These could also be purchased from the off-site corporations.
2. Green Mobile Computing – In the recent times, there is a rapid
increase of the number of smartphones that are used within the market. The
smartphones that are used within the recent generations are primarily
equipped with high form of storage capacity and have high form of
computational power that would be able to perform intensive tasks. The high
form of use of mobile computing services have hugely lessened the use of
desktop based computers (Benkhelifa et al. 2015). As a certain result, the
requirements of the applications designed for smartphones have increased
rapidly. In the recent times, the applications within the smartphones
6IMPACTS OF GREEN IT
frequently make use of sensors that need to be triggered in recent intervals.
various kind of sensors that are equipped within the sensors include
accelerometer, GPS and wireless radios that help in providing content to
ware such kind of services. As a certain result, the cost of energy within the
smartphones would have a significant increase.
The software designers who are mainly responsible for designing the
applications follow the techniques based on estimating the energy. They also
propose certain energy efficient designs based on smartphone applications.
These designers should make use of an efficient form of management of
different hardware components based within the smartphones device (Han
and Ansari 2014). The hardware components of the smartphone device is
designed in the form of Complementary-Metal-Oxide-Semiconductor (CMOS).
Hence, this form of design helps in lowering the total consumption of power
based on the CMOS circuits.
The software applications that would be designed by the software
designers would have a high form of impact on the total consumption of
energy. There should be an optimal placement of functions and classes that
would help in reducing the consumption of power (Lyu et al. 2018). As for an
example, the minimization of memory distance between the two different
functions that would communicate frequently will be helpful for reducing the
energy consumption of the mobile application.
3. Green Internet of Things (IoT) – The IoT could also be defined as
an emerging form of technology that would be helpful for facilitating the
communication of data within multiple electronic devices without the
computer and human interventions (Shaikh, Zeadally and Exposito 2015).
Green IoT could be defined as a certain set of procedures that would be
adopted by different industries in order to bring in several level of efficiency
within the efficiency techniques of hardware and software. The primary
purpose of Green IoT would mainly aim for achieving the high efficiency of
energy through the process of reduction of greenhouse effect within the
frequently make use of sensors that need to be triggered in recent intervals.
various kind of sensors that are equipped within the sensors include
accelerometer, GPS and wireless radios that help in providing content to
ware such kind of services. As a certain result, the cost of energy within the
smartphones would have a significant increase.
The software designers who are mainly responsible for designing the
applications follow the techniques based on estimating the energy. They also
propose certain energy efficient designs based on smartphone applications.
These designers should make use of an efficient form of management of
different hardware components based within the smartphones device (Han
and Ansari 2014). The hardware components of the smartphone device is
designed in the form of Complementary-Metal-Oxide-Semiconductor (CMOS).
Hence, this form of design helps in lowering the total consumption of power
based on the CMOS circuits.
The software applications that would be designed by the software
designers would have a high form of impact on the total consumption of
energy. There should be an optimal placement of functions and classes that
would help in reducing the consumption of power (Lyu et al. 2018). As for an
example, the minimization of memory distance between the two different
functions that would communicate frequently will be helpful for reducing the
energy consumption of the mobile application.
3. Green Internet of Things (IoT) – The IoT could also be defined as
an emerging form of technology that would be helpful for facilitating the
communication of data within multiple electronic devices without the
computer and human interventions (Shaikh, Zeadally and Exposito 2015).
Green IoT could be defined as a certain set of procedures that would be
adopted by different industries in order to bring in several level of efficiency
within the efficiency techniques of hardware and software. The primary
purpose of Green IoT would mainly aim for achieving the high efficiency of
energy through the process of reduction of greenhouse effect within the
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7IMPACTS OF GREEN IT
present services and computer applications (Chen et al. 2014). Such kind of
technology would mainly focus over the various issues based on green
productions, green disposal or recycling and green redesigning. The real
form of deployment of IoT would be mainly performed through the varied use
of collaboration based on enabling of technologies, communicate with such
kind of technologies and implementing several protocols. They would
ultimately aimed for bringing efficiency of computing services and reduce
the consumption of power.
The Green Wireless Sensor Network (GWN) could comprise of different
forms of sensor nodes that would have some form of constraints based on
obtaining resources. These resources would have higher storage capacity,
low power and higher computing capabilities. These sensor nodes would be
connected to a powerful substation that would be known as sink.
The Green M2M Communication could be also defined as one of the
paradigm within the IoT network (Da Xu, He and Li 2014). The primary
techniques that would be applied for the purpose of utilizing and
improvement of energy efficiency are discussed as: intelligent form of
adjustment of transmission of power that would be highly necessary, use of
efficient harvesting techniques and adjusting of transmission power based on
certain necessary levels.
4. Green Big Data Analytics – With the recent kind of developments
that would be made in the area of Big Data, there are new kind of challenges
that would also be faced by different technologies. The industries require a
high form of accuracy level based on retrieving a search results from a large
pool of data (Wu et al. 2016). Big Data mechanisms would mainly aim for
bringing in better kind of search results that would be gathered from a broad
pool of datasets.
The use of Big Data analytics would mainly contribute towards the
preserving of the varied forms of usage. There are various kind of
present services and computer applications (Chen et al. 2014). Such kind of
technology would mainly focus over the various issues based on green
productions, green disposal or recycling and green redesigning. The real
form of deployment of IoT would be mainly performed through the varied use
of collaboration based on enabling of technologies, communicate with such
kind of technologies and implementing several protocols. They would
ultimately aimed for bringing efficiency of computing services and reduce
the consumption of power.
The Green Wireless Sensor Network (GWN) could comprise of different
forms of sensor nodes that would have some form of constraints based on
obtaining resources. These resources would have higher storage capacity,
low power and higher computing capabilities. These sensor nodes would be
connected to a powerful substation that would be known as sink.
The Green M2M Communication could be also defined as one of the
paradigm within the IoT network (Da Xu, He and Li 2014). The primary
techniques that would be applied for the purpose of utilizing and
improvement of energy efficiency are discussed as: intelligent form of
adjustment of transmission of power that would be highly necessary, use of
efficient harvesting techniques and adjusting of transmission power based on
certain necessary levels.
4. Green Big Data Analytics – With the recent kind of developments
that would be made in the area of Big Data, there are new kind of challenges
that would also be faced by different technologies. The industries require a
high form of accuracy level based on retrieving a search results from a large
pool of data (Wu et al. 2016). Big Data mechanisms would mainly aim for
bringing in better kind of search results that would be gathered from a broad
pool of datasets.
The use of Big Data analytics would mainly contribute towards the
preserving of the varied forms of usage. There are various kind of
8IMPACTS OF GREEN IT
requirements based on the use of Big Data Analytics. These requirements
would help in high processing of data and enforce the use of storage
resources. In the recent times, renewable energy technology is being highly
developed that would help in reduced form of adaptation of cost, increasing
form of renewability and efficient form of green housing systems. The
primary aim of green IT would be helpful for achieving reduced form of
carbon discharge, incurring stable and lower energy costs and provide a
wide form of access to reliable sources of energy.
Green Big Data Analytics would also be highly significant in optimising
the consumption of energy and use of re-usable sources of energy. This
would be mainly aimed for providing extensive kind of analytics that would
be the primary requirements of Big Data. The different researchers present
within the industries have mainly suggested that the technology industry
would seem to be much concerned about maintaining the efficiency of
analytical procedures than maintaining environmental sustainability (Sun et
al. 2016). However, with the implementation of green analytics on the use of
Big Data, it would ensure higher and efficient results that would also be
helpful in reducing the usage of memory and lower the cost of computation.
3. Conclusion
The discussion in this report mainly focuses over the various kind of
impacts that are made with the use of Green IT within the various kind of
industries. In the recent times, the industries are rapidly making use of
several kind of new technologies that would make use of Green IT
technology and systems that would help in bringing in efficiency of the
systems and the underlying processes. There is also a rapid demand for the
implication of new form of technologies that would help for reducing the
amount of power consumed within the industries. The discussion mainly puts
emphasis over the use of such kind of useful technologies that are used
within the industries in the recent times.
requirements based on the use of Big Data Analytics. These requirements
would help in high processing of data and enforce the use of storage
resources. In the recent times, renewable energy technology is being highly
developed that would help in reduced form of adaptation of cost, increasing
form of renewability and efficient form of green housing systems. The
primary aim of green IT would be helpful for achieving reduced form of
carbon discharge, incurring stable and lower energy costs and provide a
wide form of access to reliable sources of energy.
Green Big Data Analytics would also be highly significant in optimising
the consumption of energy and use of re-usable sources of energy. This
would be mainly aimed for providing extensive kind of analytics that would
be the primary requirements of Big Data. The different researchers present
within the industries have mainly suggested that the technology industry
would seem to be much concerned about maintaining the efficiency of
analytical procedures than maintaining environmental sustainability (Sun et
al. 2016). However, with the implementation of green analytics on the use of
Big Data, it would ensure higher and efficient results that would also be
helpful in reducing the usage of memory and lower the cost of computation.
3. Conclusion
The discussion in this report mainly focuses over the various kind of
impacts that are made with the use of Green IT within the various kind of
industries. In the recent times, the industries are rapidly making use of
several kind of new technologies that would make use of Green IT
technology and systems that would help in bringing in efficiency of the
systems and the underlying processes. There is also a rapid demand for the
implication of new form of technologies that would help for reducing the
amount of power consumed within the industries. The discussion mainly puts
emphasis over the use of such kind of useful technologies that are used
within the industries in the recent times.
9IMPACTS OF GREEN IT
Green IT has made a varied form of impact over various technological
areas that are mostly implemented by most of the industries. The different
technologies that are implemented by the various industries include Internet
of Things (IoT), cloud computing, Big Data analytics and mobile computing
technologies. These kind of new technologies are mostly implemented within
the industries. These technologies help in the development of industries and
thus bringing productivity within the organisation. The high form of demand
and social integration technologies based on the IT technologies have been
increasing at a rapid pace. With a new kind of focus on the global crisis of
energy, the various researchers and practitioners of IT based services have
been able to propose and implement different useful algorithms that would
help in reducing the consumption of energy. In the discussed research, there
have been a detailed analysis over the performance of the system and
energy that would lead towards the fine tuning of solutions based on green
computing. Based on a certain form of implication of such kind of
technologies, it would also be helpful for maintaining a proper form of
consumption of energy within the industries.
Green IT has made a varied form of impact over various technological
areas that are mostly implemented by most of the industries. The different
technologies that are implemented by the various industries include Internet
of Things (IoT), cloud computing, Big Data analytics and mobile computing
technologies. These kind of new technologies are mostly implemented within
the industries. These technologies help in the development of industries and
thus bringing productivity within the organisation. The high form of demand
and social integration technologies based on the IT technologies have been
increasing at a rapid pace. With a new kind of focus on the global crisis of
energy, the various researchers and practitioners of IT based services have
been able to propose and implement different useful algorithms that would
help in reducing the consumption of energy. In the discussed research, there
have been a detailed analysis over the performance of the system and
energy that would lead towards the fine tuning of solutions based on green
computing. Based on a certain form of implication of such kind of
technologies, it would also be helpful for maintaining a proper form of
consumption of energy within the industries.
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10IMPACTS OF GREEN IT
References
Ali, R.M., Hamad, H.A., Hussein, M.M. and Malash, G.F., 2016. Potential of
using green adsorbent of heavy metal removal from aqueous solutions:
adsorption kinetics, isotherm, thermodynamic, mechanism and economic
analysis. Ecological Engineering, 91, pp.317-332.
Azmal, M., Kalhor, R., Dehcheshmeh, N.F., Goharinezhad, S., Heidari, Z.A.
and Farzianpour, F., 2014. Going toward green hospital by sustainable
healthcare waste management: segregation, treatment and safe
disposal. Health, 6(19), p.2632.
Benkhelifa, E., Welsh, T., Tawalbeh, L., Jararweh, Y. and Basalamah, A., 2015.
User profiling for energy optimisation in mobile cloud computing. Procedia
Computer Science, 52, pp.1159-1165.
Chen, Y., Han, F., Yang, Y.H., Ma, H., Han, Y., Jiang, C., Lai, H.Q., Claffey, D.,
Safar, Z. and Liu, K.R., 2014. Time-reversal wireless paradigm for green
Internet of Things: An overview. IEEE Internet of Things Journal, 1(1), pp.81-
98.
Da Xu, L., He, W. and Li, S., 2014. Internet of things in industries: A
survey. IEEE Transactions on industrial informatics, 10(4), pp.2233-2243.
Deng, Q. and Ji, S., 2015. Organizational green IT adoption: concept and
evidence. Sustainability, 7(12), pp.16737-16755.
Gai, K., Qiu, M., Zhao, H., Tao, L. and Zong, Z., 2016. Dynamic energy-aware
cloudlet-based mobile cloud computing model for green computing. Journal
of Network and Computer Applications, 59, pp.46-54.
Govindan, K., Diabat, A. and Shankar, K.M., 2015. Analyzing the drivers of
green manufacturing with fuzzy approach. Journal of Cleaner Production, 96,
pp.182-193.
References
Ali, R.M., Hamad, H.A., Hussein, M.M. and Malash, G.F., 2016. Potential of
using green adsorbent of heavy metal removal from aqueous solutions:
adsorption kinetics, isotherm, thermodynamic, mechanism and economic
analysis. Ecological Engineering, 91, pp.317-332.
Azmal, M., Kalhor, R., Dehcheshmeh, N.F., Goharinezhad, S., Heidari, Z.A.
and Farzianpour, F., 2014. Going toward green hospital by sustainable
healthcare waste management: segregation, treatment and safe
disposal. Health, 6(19), p.2632.
Benkhelifa, E., Welsh, T., Tawalbeh, L., Jararweh, Y. and Basalamah, A., 2015.
User profiling for energy optimisation in mobile cloud computing. Procedia
Computer Science, 52, pp.1159-1165.
Chen, Y., Han, F., Yang, Y.H., Ma, H., Han, Y., Jiang, C., Lai, H.Q., Claffey, D.,
Safar, Z. and Liu, K.R., 2014. Time-reversal wireless paradigm for green
Internet of Things: An overview. IEEE Internet of Things Journal, 1(1), pp.81-
98.
Da Xu, L., He, W. and Li, S., 2014. Internet of things in industries: A
survey. IEEE Transactions on industrial informatics, 10(4), pp.2233-2243.
Deng, Q. and Ji, S., 2015. Organizational green IT adoption: concept and
evidence. Sustainability, 7(12), pp.16737-16755.
Gai, K., Qiu, M., Zhao, H., Tao, L. and Zong, Z., 2016. Dynamic energy-aware
cloudlet-based mobile cloud computing model for green computing. Journal
of Network and Computer Applications, 59, pp.46-54.
Govindan, K., Diabat, A. and Shankar, K.M., 2015. Analyzing the drivers of
green manufacturing with fuzzy approach. Journal of Cleaner Production, 96,
pp.182-193.
11IMPACTS OF GREEN IT
Han, T. and Ansari, N., 2014. Powering mobile networks with green
energy. IEEE Wireless Communications, 21(1), pp.90-96.
Kharchenko, V. and Illiashenko, O., 2017. Concepts of green IT engineering:
taxonomy, principles and implementation. In Green IT Engineering:
Concepts, Models, Complex Systems Architectures (pp. 3-19). Springer,
Cham.
Li, S., Jayaraman, V., Paulraj, A. and Shang, K.C., 2016. Proactive
environmental strategies and performance: role of green supply chain
processes and green product design in the Chinese high-tech
industry. International Journal of Production Research, 54(7), pp.2136-2151.
Lyu, X., Tian, H., Jiang, L., Vinel, A., Maharjan, S., Gjessing, S. and Zhang, Y.,
2018. Selective offloading in mobile edge computing for the green Internet of
Things. IEEE Network, 32(1), pp.54-60.
Molla, A., Abareshi, A. and Cooper, V., 2014. Green IT beliefs and pro-
environmental IT practices among IT professionals. Information Technology
& People, 27(2), pp.129-154.
Russo, D. and Rizzi, C., 2014. Structural optimization strategies to design
green products. Computers in industry, 65(3), pp.470-479.
Shaikh, F.K., Zeadally, S. and Exposito, E., 2015. Enabling technologies for
green internet of things. IEEE Systems Journal, 11(2), pp.983-994.
Shu, W., Wang, W. and Wang, Y., 2014. A novel energy-efficient resource
allocation algorithm based on immune clonal optimization for green cloud
computing. EURASIP Journal on Wireless Communications and
Networking, 2014(1), p.64.
Sun, Y., Song, H., Jara, A.J. and Bie, R., 2016. Internet of things and big data
analytics for smart and connected communities. IEEE access, 4, pp.766-773.
Han, T. and Ansari, N., 2014. Powering mobile networks with green
energy. IEEE Wireless Communications, 21(1), pp.90-96.
Kharchenko, V. and Illiashenko, O., 2017. Concepts of green IT engineering:
taxonomy, principles and implementation. In Green IT Engineering:
Concepts, Models, Complex Systems Architectures (pp. 3-19). Springer,
Cham.
Li, S., Jayaraman, V., Paulraj, A. and Shang, K.C., 2016. Proactive
environmental strategies and performance: role of green supply chain
processes and green product design in the Chinese high-tech
industry. International Journal of Production Research, 54(7), pp.2136-2151.
Lyu, X., Tian, H., Jiang, L., Vinel, A., Maharjan, S., Gjessing, S. and Zhang, Y.,
2018. Selective offloading in mobile edge computing for the green Internet of
Things. IEEE Network, 32(1), pp.54-60.
Molla, A., Abareshi, A. and Cooper, V., 2014. Green IT beliefs and pro-
environmental IT practices among IT professionals. Information Technology
& People, 27(2), pp.129-154.
Russo, D. and Rizzi, C., 2014. Structural optimization strategies to design
green products. Computers in industry, 65(3), pp.470-479.
Shaikh, F.K., Zeadally, S. and Exposito, E., 2015. Enabling technologies for
green internet of things. IEEE Systems Journal, 11(2), pp.983-994.
Shu, W., Wang, W. and Wang, Y., 2014. A novel energy-efficient resource
allocation algorithm based on immune clonal optimization for green cloud
computing. EURASIP Journal on Wireless Communications and
Networking, 2014(1), p.64.
Sun, Y., Song, H., Jara, A.J. and Bie, R., 2016. Internet of things and big data
analytics for smart and connected communities. IEEE access, 4, pp.766-773.
12IMPACTS OF GREEN IT
Tushi, B., Sedera, D. and Recker, J., 2014. Green IT segment analysis: An
academic literature review.
Wu, J., Guo, S., Li, J. and Zeng, D., 2016. Big data meet green challenges:
Greening big data. IEEE Systems Journal, 10(3), pp.873-887.
Zhang, N. and Xie, H., 2015. Toward green IT: Modeling sustainable
production characteristics for Chinese electronic information industry, 1980–
2012. Technological Forecasting and Social Change, 96, pp.62-70.
Tushi, B., Sedera, D. and Recker, J., 2014. Green IT segment analysis: An
academic literature review.
Wu, J., Guo, S., Li, J. and Zeng, D., 2016. Big data meet green challenges:
Greening big data. IEEE Systems Journal, 10(3), pp.873-887.
Zhang, N. and Xie, H., 2015. Toward green IT: Modeling sustainable
production characteristics for Chinese electronic information industry, 1980–
2012. Technological Forecasting and Social Change, 96, pp.62-70.
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