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International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 5 Issue: 12 200 – 203
_______________________________________________________________________________________________
200
IJRITCC | December 2017, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
Smart Cities and NICT
Alami Sara1
, Hanoune Mostafa2
, Benzrioual Souhail3
Laboratory of Information Technology and Modeling. Faculty of Sciences Ben M'sik Hassan II University of Morocco.
alami.sara.ing@gmail.com1
, mhanoune@gmail.com2
,benzrioualsouhail@gmail.com
Abstract— in the wake of this urban innovation wind, the smart city, nicknamed the "Intelligent city," a model promoted since the growth of
digital whose dynamics is based on the use of information and communication technologies. It is a concept based on a holistic approach to the
integration of different information systems in sectors such as transportation, health, energy, the cleanliness that should translate into a net
improvement in the daily life of the inhabitants. These new information and communications technologies (NICT) Such as big data, Internet of
Things are the element that inspired the concept of smart city.
This article discusses the architectural portion of the intelligent city based on the new technologies as well as a first step for a future study on the
mobility and the behavior of citizens in the intelligent citiesby based on the Human predisposition to the game.
Keywords— Smart City; Big data; Internet of Things; gamification; Smart cities; Cloud computing ; Intelligent information systems.
____________________________________________ *****____________________________________________
I. INTRODUCTION
Intelligent Information Systems (IIS) can be defined as
the system that incorporates intelligence into applications
being handled by machines[1]. Intelligent systems perform
search and optimization along with learning capabilities.it’s
the next generation of information systems (IS) developed as
a result of technology and database (DB) Integration. IIS
embody knowledge that enables them to display intelligent
behavior, allows them to cooperate with users and other
systems in solving problems, discovering also retrieving and
manipulating data and Knowledge. For all IIS to serve its
purpose, the information must be available when it is
needed. This means that the computer’s systems used to
store the data and process the information also the security
controls that used to protect these systems must work
properly.
The thematic track of intelligent information systems will
focus on integrating artificial intelligence, intelligent
systems and technologies, database technologies and
information systems methodologies in order To create new
generation of information systems and improve the quality
of service.
These new types of information systems embody knowledge
that allows them to display intelligent behavior. This allows
them to cooperate with users and other systems in tasks such
as problem solving and also the recovery and the
manipulation of a wide variety of multimedia and
knowledge information. These systems perform tasks such
as knowledge-oriented inference to discover knowledge
from very large data collections and provide cooperative
support to users in the analysis of complex data. IIS are also
interested in the research, access, retrieval, storage and
processing a vast collections of multimedia information and
knowledge, as well as the integration of information and
knowledge from multiple heterogeneous sources.
II. SMART CITY AND TECHNOLOGY WAVES
A. Smart City
A smart city is defined as the ability to integrate multiple
technological solutions in a secure fashion to manage the
city’s assets – the city’s assets include, but not limited to,
local departments information systems, schools, libraries,
transportation systems, hospitals, power plants, law
enforcement, and other community services. The goal of
building a smart city is to improve the quality of life by
using technology to improve the efficiency of services and
meet residents’ needs. Through the use of real-time systems
and sensors, data are collected from citizens and objects -
then processed in real-time[2]
Various models of intelligent cities are presented in the
literature. The model [Rudolf Giffinger][3]-an expert in
analytical research on urban and regional Development at
the Technological University of Vienna-has six levers
inorder to talk about a smart city, which are: Smart
governance, Smart Citizen, smart economy, smart
mobility,living in such intelligent environment also is
intelligent. Six levers are defined in a comprehensive way
by beams of factors: a typology of the intelligent functions
of the city.[4, p. 16].
Fig1. A typology of the city's smart functions.
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 5 Issue: 12 200 – 203
_______________________________________________________________________________________________
201
IJRITCC | December 2017, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
The concept of smart city is not a purpose in itself, but a
way to achieve objectives, such as maintenance or
improvement of the inhabitant’s life quality, sustainable
development, the economy of resources or even
Sustainablemobility. In such an integrated understanding of
the smart city concept, smart cities projects are part of a
general concept of city modernization. Incorporating new
information and communications technologies into the
various sectors and services of the city will allow the
achievement of those objectives. Generally speaking, the
objective of this concept is to promote the most virtuous
development possible.
B. Internet of Things
The Internet of Things (IoT) is the network of physical
objects, devices, vehicles, buildings and other items, which
are embedded with electronics, software, sensors, and
network connectivity, which enables these objects to collect
and exchange data. The Internet of Things existing Internet
infrastructure. Experts estimate that the IoT will consist of
almost 50 billion objects by 2020[5] Sometimes IoT is used
synonymously with the term Machine to machine (M2M).[6,
p. 24].
C. Big Data
Big data presents is a solution that make enable
everyone able to access in real time to giant databases.[7] Its
a massive volume of both structured and unstructured data
that is so large that it is difficult to process using traditional
database and software techniques[8].
Despite the ―Big Data‖ became a new buzz-word, there
is no consistent definition of Big Data, no detailed analysis
of this new emerging technology. Most discussions until
now have been going in blogosphere where active
contributors have generally converged on the most
important features and incentives of the Big Data.[9], [8],
[10].
Most scientists and data experts define BIG data
according to the following three main characteristics (called
3Vs)[11] which define the need for reliable, relevant and
meaningful data to give meaning and economic interest to
the analysis and thus a thoughtful and comprehensive
decision support.
The data volume will reach 40 bytes Zeta by 2020 and will
increase by 400 times until now .[12]
A wide variety of information (from various sources,
unstructured, organized, Open ...), and a certain level of
velocity to be achieved, in other words, frequency of
creation, collection and sharing of this data.
However, Other major V data which draw attention to the
top are: validity and volatility.[13]
Fig2. 5v of Big Data
D. Cloud Computing
Cloud computing has recently emerged as a new
paradigm for hosting and providing services on the Internet.
[14] Where the advent the name, this technology has made
the abstraction of material constraints possible and gave a
virtual dimension to storage.
The concept of the internet of things is a system:
connected and interconnected, uniquely identifiable, highly
available, interoperable, intelligent and auto-configure open
to the programming of the capabilities of its sensors.[15]
E. Gamification
«Gamification», A generic term used to employ some
video game elements (rather than full games) inorder to
improve user experience and engaging users in services and
applications not only in games [16].
Gamification consists in transposing the mechanics of
the game into a non-ludic domain,[17]The process of game-
thinking and game mechanics to engage users and solve
problems.[18]
Regardless of the type of game, whether it is classical
(on board, with cards, with dice ...) or video game, we
always have four criteria: Clear objectives, Rules, A
feedback A voluntary participation of players[19], a form of
commitment in the game (Acceptance of the previous
points).
Fig3. Criteria of Gamification
 Clear objectives:The game for the individual must be,
framed, very clear in its goals: pay attention where we
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 5 Issue: 12 200 – 203
_______________________________________________________________________________________________
202
IJRITCC | December 2017, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
must focus, know what to focus on, how to do it and how
to act. These objectives derive from the meaning, and
other objectives that areinferred.
 Rules:The rules are limitations on how to achieve the
objective or the superfluous obstacles that are added.
 A voluntary participation of players: You don't force
someone to play. Admittedly, we can play under the
authoritarian, threatening to support, but it will no longer
be a game, the magic of the mechanics of play
disappears, even with an extremely immersive game.
 A feed-back:In other words, these are objective
indicators of the progress of the goals to be achieved
(from this criterion can modify in the layer Gamification
look at the new proposed architecture);
III. PROPOSED ARCHITECTURE
Today all organizations face a commitment crisis. It does
not matter if they are clients, employees, patients, students,
citizens etc. we always find organizations that work hard to
motivate their main group to engage in a meaningful way.
To do this, the notion of gamification was injected into the
old architecture to use it as a key tool in their strategy of
digital engagement. This architecture targets a very sensitive
sector and suffers from several problems it is the transport
sector the main idea is to create a system in which the target
population must earn a score to have rewards.
This system must be able to create new obstacles or
challenges to be surpassed each time with different levels of
difficulty to allow employees to accumulate points to evolve
through a thematic adventure. Secondly, the system has to
value the progress of a collaborator and shows him that his
individual effort has a real impact on his overall
performance. In order to highlight it, it is necessary to divide
the game into different intermediate stages. Thus the
evolution or the passage from one stage to another must be
linked to the effort introduced in the previous step. Thirdly
the system also must be able to properly manage progress in
the experience in the progression in the game must be less
and better rewarded to hold motivation through
gamification. Also promote human interaction to boost the
social relations between collaborators. By encouraging
exchange, this friendly competition improves the transport
sector. Finally the system must encourage everyone to
perform and stand out inevitably passes through a feedback
mechanism, but what is all feedback first is a feedback
mechanism is feedback to an action, a task that the player
has accomplished. In a traditional game, it is used to show
the player's progress or other elements necessary to the
player's experience.
Fig4. Architectures existing / proposed
IV. CONCLUSIONS
The concept of smart city is not an extension of the
concept of sustainable development, but rather a tool
for the realization and implementation of a
sustainability-oriented community. The factors of
success of such an approach based in particular on a
specific transparent and collaborative governance in
which the importance of citizen participation is central.
For this in this article we have detailed the state of the
art of technological and social components and
proposed a new architecture to encourage citizens to
participate. Indeed, a smart city is above all made by
and for citizens.
REFERENCES
[1] K. B. Mankad, « An Intelligent Process Development
Using Fusion of Genetic Algorithm with Fuzzy Logic »,
Httpservicesigi-Glob.-1-4666-7258-1ch002, p. 44‑81,
2015.
[2] A. Zanella, N. Bui, A. Castellani, L. Vangelista, et M.
Zorzi, « Internet of Things for Smart Cities », IEEE Internet
Things J., vol. 1, no 1, p. 22‑32, févr. 2014.
[3] « Smart cities - Ranking of European medium-sized cities
», ResearchGate.
[4] M. Batty et al., « Smart cities of the future », Eur. Phys. J.
Spec. Top., vol. 214, no 1, p. 481–518, 2012.
[5] L. Atzori, A. Iera, and G. Morabito, « The internet of
things: A survey », Comput. Netw, vol. 54, no 15, p. 2787–
2805, 2010.
[6] C. A. of I. and C. Technology and E.-C. P. D. S. F. Ii, «
Smart City Trends and Developments », in Comparative
Study of Smart Cities in Europe and China 2014, Springer
Berlin Heidelberg, 2016, p. 5‑39.
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 5 Issue: 12 200 – 203
_______________________________________________________________________________________________
203
IJRITCC | December 2017, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
[7] A. Oussous, F.-Z. Benjelloun, A. Ait Lahcen, and S.
Belfkih, « Big Data technologies: A survey », J. King Saud
Univ. - Comput. Inf. Sci.
[8] « The Big Data Long Tail ». Available on:
http://www.devx.com/blog/the-big-data-long-tail.html.
[9] « Reflections on Big Data, Data Science and Related
Subjects », Irving Wladawsky-Berger. Available on:
http://blog.irvingwb.com/blog/2013/01/reflections-on-big-
data-data-science-and-related-subjects.html.
[10] « What is big data? - O’Reilly Media
».www.oreilly.com/ideas/what-is-big-data
[11] B. Furht and F. Villanustre, « Introduction to Big Data », in
Big Data Technologies and Applications, Springer
International Publishing, 2016, p. 3–11.
[12] R. Kune, P. K. Konugurthi, A. Agarwal, R. R. Chillarige, et
R. Buyya, « The anatomy of big data computing », Softw.
Pract. Exp., vol. 46, no 1, p. 79‑105, janv. 2016.
[13] « Big data volume, variety, velocity and veracity »,
insideBIGDATA, 12-sept-2013. .
[14] Q. Zhang, L. Cheng, and R. Boutaba, « Cloud computing:
state-of-the-art and research challenges », J. Internet Serv.
Appl., vol. 1, no 1, p. 7‑18, mai 2010.
[15] Smart Cities and New Technology Trends State of the art
and perspectives | International Journal IJRITCC et
mohamed amine Talhaoui - Academia.edu.
[16] S. Deterding, M. Sicart, L. Nacke, K. O’Hara, and D.
Dixon, « Gamification. Using Game-design Elements in
Non-gaming Contexts », in CHI ’11 Extended Abstracts on
Human Factors in Computing Systems, New York, NY,
USA, 2011, p. 2425–2428.
[17] « Définition de la gamification | el Gamificator ».Available
on:http://www.elgamificator.com/gamification/gamification
-definition,
http://www.elgamificator.com/gamification/gamification-
definition.
[18] « Gamification by Design: Implementing Game Mechanics
in Web and Mobile Apps: Amazon.co.uk: Gabe
Zichermann, Christopher Cunningham: 9781449397678:
Books ». on: https://www.amazon.co.uk/Gamification-
Design-Implementing-Mechanics-Mobile/dp/1449397670.
[19] « Changer le(s) système(s) : La Gamification [1] – Hacking
social ». Available on: https://www.hacking-
social.com/2015/04/14/changer-les-systemes-la-
gamification-partie-1/.

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Smart Cities and NICT

  • 1. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 5 Issue: 12 200 – 203 _______________________________________________________________________________________________ 200 IJRITCC | December 2017, Available @ http://www.ijritcc.org _______________________________________________________________________________________ Smart Cities and NICT Alami Sara1 , Hanoune Mostafa2 , Benzrioual Souhail3 Laboratory of Information Technology and Modeling. Faculty of Sciences Ben M'sik Hassan II University of Morocco. alami.sara.ing@gmail.com1 , mhanoune@gmail.com2 ,benzrioualsouhail@gmail.com Abstract— in the wake of this urban innovation wind, the smart city, nicknamed the "Intelligent city," a model promoted since the growth of digital whose dynamics is based on the use of information and communication technologies. It is a concept based on a holistic approach to the integration of different information systems in sectors such as transportation, health, energy, the cleanliness that should translate into a net improvement in the daily life of the inhabitants. These new information and communications technologies (NICT) Such as big data, Internet of Things are the element that inspired the concept of smart city. This article discusses the architectural portion of the intelligent city based on the new technologies as well as a first step for a future study on the mobility and the behavior of citizens in the intelligent citiesby based on the Human predisposition to the game. Keywords— Smart City; Big data; Internet of Things; gamification; Smart cities; Cloud computing ; Intelligent information systems. ____________________________________________ *****____________________________________________ I. INTRODUCTION Intelligent Information Systems (IIS) can be defined as the system that incorporates intelligence into applications being handled by machines[1]. Intelligent systems perform search and optimization along with learning capabilities.it’s the next generation of information systems (IS) developed as a result of technology and database (DB) Integration. IIS embody knowledge that enables them to display intelligent behavior, allows them to cooperate with users and other systems in solving problems, discovering also retrieving and manipulating data and Knowledge. For all IIS to serve its purpose, the information must be available when it is needed. This means that the computer’s systems used to store the data and process the information also the security controls that used to protect these systems must work properly. The thematic track of intelligent information systems will focus on integrating artificial intelligence, intelligent systems and technologies, database technologies and information systems methodologies in order To create new generation of information systems and improve the quality of service. These new types of information systems embody knowledge that allows them to display intelligent behavior. This allows them to cooperate with users and other systems in tasks such as problem solving and also the recovery and the manipulation of a wide variety of multimedia and knowledge information. These systems perform tasks such as knowledge-oriented inference to discover knowledge from very large data collections and provide cooperative support to users in the analysis of complex data. IIS are also interested in the research, access, retrieval, storage and processing a vast collections of multimedia information and knowledge, as well as the integration of information and knowledge from multiple heterogeneous sources. II. SMART CITY AND TECHNOLOGY WAVES A. Smart City A smart city is defined as the ability to integrate multiple technological solutions in a secure fashion to manage the city’s assets – the city’s assets include, but not limited to, local departments information systems, schools, libraries, transportation systems, hospitals, power plants, law enforcement, and other community services. The goal of building a smart city is to improve the quality of life by using technology to improve the efficiency of services and meet residents’ needs. Through the use of real-time systems and sensors, data are collected from citizens and objects - then processed in real-time[2] Various models of intelligent cities are presented in the literature. The model [Rudolf Giffinger][3]-an expert in analytical research on urban and regional Development at the Technological University of Vienna-has six levers inorder to talk about a smart city, which are: Smart governance, Smart Citizen, smart economy, smart mobility,living in such intelligent environment also is intelligent. Six levers are defined in a comprehensive way by beams of factors: a typology of the intelligent functions of the city.[4, p. 16]. Fig1. A typology of the city's smart functions.
  • 2. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 5 Issue: 12 200 – 203 _______________________________________________________________________________________________ 201 IJRITCC | December 2017, Available @ http://www.ijritcc.org _______________________________________________________________________________________ The concept of smart city is not a purpose in itself, but a way to achieve objectives, such as maintenance or improvement of the inhabitant’s life quality, sustainable development, the economy of resources or even Sustainablemobility. In such an integrated understanding of the smart city concept, smart cities projects are part of a general concept of city modernization. Incorporating new information and communications technologies into the various sectors and services of the city will allow the achievement of those objectives. Generally speaking, the objective of this concept is to promote the most virtuous development possible. B. Internet of Things The Internet of Things (IoT) is the network of physical objects, devices, vehicles, buildings and other items, which are embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data. The Internet of Things existing Internet infrastructure. Experts estimate that the IoT will consist of almost 50 billion objects by 2020[5] Sometimes IoT is used synonymously with the term Machine to machine (M2M).[6, p. 24]. C. Big Data Big data presents is a solution that make enable everyone able to access in real time to giant databases.[7] Its a massive volume of both structured and unstructured data that is so large that it is difficult to process using traditional database and software techniques[8]. Despite the ―Big Data‖ became a new buzz-word, there is no consistent definition of Big Data, no detailed analysis of this new emerging technology. Most discussions until now have been going in blogosphere where active contributors have generally converged on the most important features and incentives of the Big Data.[9], [8], [10]. Most scientists and data experts define BIG data according to the following three main characteristics (called 3Vs)[11] which define the need for reliable, relevant and meaningful data to give meaning and economic interest to the analysis and thus a thoughtful and comprehensive decision support. The data volume will reach 40 bytes Zeta by 2020 and will increase by 400 times until now .[12] A wide variety of information (from various sources, unstructured, organized, Open ...), and a certain level of velocity to be achieved, in other words, frequency of creation, collection and sharing of this data. However, Other major V data which draw attention to the top are: validity and volatility.[13] Fig2. 5v of Big Data D. Cloud Computing Cloud computing has recently emerged as a new paradigm for hosting and providing services on the Internet. [14] Where the advent the name, this technology has made the abstraction of material constraints possible and gave a virtual dimension to storage. The concept of the internet of things is a system: connected and interconnected, uniquely identifiable, highly available, interoperable, intelligent and auto-configure open to the programming of the capabilities of its sensors.[15] E. Gamification «Gamification», A generic term used to employ some video game elements (rather than full games) inorder to improve user experience and engaging users in services and applications not only in games [16]. Gamification consists in transposing the mechanics of the game into a non-ludic domain,[17]The process of game- thinking and game mechanics to engage users and solve problems.[18] Regardless of the type of game, whether it is classical (on board, with cards, with dice ...) or video game, we always have four criteria: Clear objectives, Rules, A feedback A voluntary participation of players[19], a form of commitment in the game (Acceptance of the previous points). Fig3. Criteria of Gamification  Clear objectives:The game for the individual must be, framed, very clear in its goals: pay attention where we
  • 3. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 5 Issue: 12 200 – 203 _______________________________________________________________________________________________ 202 IJRITCC | December 2017, Available @ http://www.ijritcc.org _______________________________________________________________________________________ must focus, know what to focus on, how to do it and how to act. These objectives derive from the meaning, and other objectives that areinferred.  Rules:The rules are limitations on how to achieve the objective or the superfluous obstacles that are added.  A voluntary participation of players: You don't force someone to play. Admittedly, we can play under the authoritarian, threatening to support, but it will no longer be a game, the magic of the mechanics of play disappears, even with an extremely immersive game.  A feed-back:In other words, these are objective indicators of the progress of the goals to be achieved (from this criterion can modify in the layer Gamification look at the new proposed architecture); III. PROPOSED ARCHITECTURE Today all organizations face a commitment crisis. It does not matter if they are clients, employees, patients, students, citizens etc. we always find organizations that work hard to motivate their main group to engage in a meaningful way. To do this, the notion of gamification was injected into the old architecture to use it as a key tool in their strategy of digital engagement. This architecture targets a very sensitive sector and suffers from several problems it is the transport sector the main idea is to create a system in which the target population must earn a score to have rewards. This system must be able to create new obstacles or challenges to be surpassed each time with different levels of difficulty to allow employees to accumulate points to evolve through a thematic adventure. Secondly, the system has to value the progress of a collaborator and shows him that his individual effort has a real impact on his overall performance. In order to highlight it, it is necessary to divide the game into different intermediate stages. Thus the evolution or the passage from one stage to another must be linked to the effort introduced in the previous step. Thirdly the system also must be able to properly manage progress in the experience in the progression in the game must be less and better rewarded to hold motivation through gamification. Also promote human interaction to boost the social relations between collaborators. By encouraging exchange, this friendly competition improves the transport sector. Finally the system must encourage everyone to perform and stand out inevitably passes through a feedback mechanism, but what is all feedback first is a feedback mechanism is feedback to an action, a task that the player has accomplished. In a traditional game, it is used to show the player's progress or other elements necessary to the player's experience. Fig4. Architectures existing / proposed IV. CONCLUSIONS The concept of smart city is not an extension of the concept of sustainable development, but rather a tool for the realization and implementation of a sustainability-oriented community. The factors of success of such an approach based in particular on a specific transparent and collaborative governance in which the importance of citizen participation is central. For this in this article we have detailed the state of the art of technological and social components and proposed a new architecture to encourage citizens to participate. Indeed, a smart city is above all made by and for citizens. REFERENCES [1] K. B. Mankad, « An Intelligent Process Development Using Fusion of Genetic Algorithm with Fuzzy Logic », Httpservicesigi-Glob.-1-4666-7258-1ch002, p. 44‑81, 2015. [2] A. Zanella, N. Bui, A. Castellani, L. Vangelista, et M. Zorzi, « Internet of Things for Smart Cities », IEEE Internet Things J., vol. 1, no 1, p. 22‑32, févr. 2014. [3] « Smart cities - Ranking of European medium-sized cities », ResearchGate. [4] M. Batty et al., « Smart cities of the future », Eur. Phys. J. Spec. Top., vol. 214, no 1, p. 481–518, 2012. [5] L. Atzori, A. Iera, and G. Morabito, « The internet of things: A survey », Comput. Netw, vol. 54, no 15, p. 2787– 2805, 2010. [6] C. A. of I. and C. Technology and E.-C. P. D. S. F. Ii, « Smart City Trends and Developments », in Comparative Study of Smart Cities in Europe and China 2014, Springer Berlin Heidelberg, 2016, p. 5‑39.
  • 4. International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 5 Issue: 12 200 – 203 _______________________________________________________________________________________________ 203 IJRITCC | December 2017, Available @ http://www.ijritcc.org _______________________________________________________________________________________ [7] A. Oussous, F.-Z. Benjelloun, A. Ait Lahcen, and S. Belfkih, « Big Data technologies: A survey », J. King Saud Univ. - Comput. Inf. Sci. [8] « The Big Data Long Tail ». Available on: http://www.devx.com/blog/the-big-data-long-tail.html. [9] « Reflections on Big Data, Data Science and Related Subjects », Irving Wladawsky-Berger. Available on: http://blog.irvingwb.com/blog/2013/01/reflections-on-big- data-data-science-and-related-subjects.html. [10] « What is big data? - O’Reilly Media ».www.oreilly.com/ideas/what-is-big-data [11] B. Furht and F. Villanustre, « Introduction to Big Data », in Big Data Technologies and Applications, Springer International Publishing, 2016, p. 3–11. [12] R. Kune, P. K. Konugurthi, A. Agarwal, R. R. Chillarige, et R. Buyya, « The anatomy of big data computing », Softw. Pract. Exp., vol. 46, no 1, p. 79‑105, janv. 2016. [13] « Big data volume, variety, velocity and veracity », insideBIGDATA, 12-sept-2013. . [14] Q. Zhang, L. Cheng, and R. Boutaba, « Cloud computing: state-of-the-art and research challenges », J. Internet Serv. Appl., vol. 1, no 1, p. 7‑18, mai 2010. [15] Smart Cities and New Technology Trends State of the art and perspectives | International Journal IJRITCC et mohamed amine Talhaoui - Academia.edu. [16] S. Deterding, M. Sicart, L. Nacke, K. O’Hara, and D. Dixon, « Gamification. Using Game-design Elements in Non-gaming Contexts », in CHI ’11 Extended Abstracts on Human Factors in Computing Systems, New York, NY, USA, 2011, p. 2425–2428. [17] « Définition de la gamification | el Gamificator ».Available on:http://www.elgamificator.com/gamification/gamification -definition, http://www.elgamificator.com/gamification/gamification- definition. [18] « Gamification by Design: Implementing Game Mechanics in Web and Mobile Apps: Amazon.co.uk: Gabe Zichermann, Christopher Cunningham: 9781449397678: Books ». on: https://www.amazon.co.uk/Gamification- Design-Implementing-Mechanics-Mobile/dp/1449397670. [19] « Changer le(s) système(s) : La Gamification [1] – Hacking social ». Available on: https://www.hacking- social.com/2015/04/14/changer-les-systemes-la- gamification-partie-1/.