The document discusses the integration of Internet of Things (IoT) and cloud computing, referred to as Cloud of Things. It identifies several key issues with this integration, such as protocol support, energy efficiency, resource allocation, identity management, and security/privacy. Potential solutions are provided for some of the issues. The conclusion discusses the need for more study on the impact of these issues based on the specific IoT application and services provided.
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
The Internet of things describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
This IOT architecture describes about how things get connected via internet.In short, the Internet of Things refers to the rapidly growing network of connected objects that are able to collect and exchange data using embedded sensors. Thermostats, cars, lights, refrigerators, and more appliances can all be connected to the IoT.In short, the Internet of Things refers to the rapidly growing network of connected objects that are able to collect and exchange data using embedded sensors. Thermostats, cars, lights, refrigerators, and more appliances can all be connected to the IoT.
Authors: Arshdeep Bahga, Vijay Madisetti
Paperback: 446 pages
Publisher: VPT; 1 edition (August 9, 2014)
Language: English
ISBN-10: 0996025510
ISBN-13: 978-0996025515
Product Dimensions: 10 x 7 x 1 inches
Book Website: www.internet-of-things-book.com
Availabile on: www.amazon.com/dp/0996025510
Internet of Things (IoT) refers to physical and virtual objects that have unique identities and are connected to the internet to facilitate intelligent applications that make energy, logistics, industrial control, retail, agriculture and many other domains "smarter". Internet of Things is a new revolution of the Internet that is rapidly gathering momentum driven by the advancements in sensor networks, mobile devices, wireless communications, networking and cloud technologies. Experts forecast that by the year 2020 there will be a total of 50 billion devices/things connected to the internet.
This book is written as a textbook on Internet of Things for educational programs at colleges and universities, and also for IoT vendors and service providers who may be interested in offering a broader perspective of Internet of Things to accompany their own customer and developer training programs. The typical reader is expected to have completed a couple of courses in programming using traditional high-level languages at the college-level, and is either a senior or a beginning graduate student in one of the science, technology, engineering or mathematics (STEM) fields. Like our companion book on Cloud Computing, we have tried to write a comprehensive book that transfers knowledge through an immersive "hands on" approach, where the reader is provided the necessary guidance and knowledge to develop working code for real-world IoT applications.
The internet of things (IoT) is the internetworking of physical devices, vehicles, buildings and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data.
The Internet of Things (IoT), sometimes referred to as the Internet of Objects, IoT is basically a complex network that seamlessly connects people and things together through the Internet. Theoretically, anything that can be connected (smart watches, cars, homes, thermostats, vending machines, servers…) and will be connected in the near future using sensors and RFID tags. This allows connected objects to continuously send data over the Web and from anywhere. The first time the term was used in 1999 by Kevin Ashton, the creator of the RFID standard.
A review on orchestration distributed systems for IoT smart services in fog c...IJECEIAES
This paper provides a review of orchestration distributed systems for IoT smart services in fog computing. The cloud infrastructure alone cannot handle the flow of information with the abundance of data, devices and interactions. Thus, fog computing becomes a new paradigm to overcome the problem. One of the first challenges was to build the orchestration systems to activate the clouds and to execute tasks throughout the whole system that has to be considered to the situation in the large scale of geographical distance, heterogeneity and low latency to support the limitation of cloud computing. Some problems exist for orchestration distributed in fog computing are to fulfil with high reliability and low-delay requirements in the IoT applications system and to form a larger computer network like a fog network, at different geographic sites. This paper reviewed approximately 68 articles on orchestration distributed system for fog computing. The result shows the orchestration distribute system and some of the evaluation criteria for fog computing that have been compared in terms of Borg, Kubernetes, Swarm, Mesos, Aurora, heterogeneity, QoS management, scalability, mobility, federation, and interoperability. The significance of this study is to support the researcher in developing orchestration distributed systems for IoT smart services in fog computing focus on IR4.0 national agenda.
Research Inventy : International Journal of Engineering and Scienceinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
The Internet of things describes physical objects that are embedded with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.
This IOT architecture describes about how things get connected via internet.In short, the Internet of Things refers to the rapidly growing network of connected objects that are able to collect and exchange data using embedded sensors. Thermostats, cars, lights, refrigerators, and more appliances can all be connected to the IoT.In short, the Internet of Things refers to the rapidly growing network of connected objects that are able to collect and exchange data using embedded sensors. Thermostats, cars, lights, refrigerators, and more appliances can all be connected to the IoT.
Authors: Arshdeep Bahga, Vijay Madisetti
Paperback: 446 pages
Publisher: VPT; 1 edition (August 9, 2014)
Language: English
ISBN-10: 0996025510
ISBN-13: 978-0996025515
Product Dimensions: 10 x 7 x 1 inches
Book Website: www.internet-of-things-book.com
Availabile on: www.amazon.com/dp/0996025510
Internet of Things (IoT) refers to physical and virtual objects that have unique identities and are connected to the internet to facilitate intelligent applications that make energy, logistics, industrial control, retail, agriculture and many other domains "smarter". Internet of Things is a new revolution of the Internet that is rapidly gathering momentum driven by the advancements in sensor networks, mobile devices, wireless communications, networking and cloud technologies. Experts forecast that by the year 2020 there will be a total of 50 billion devices/things connected to the internet.
This book is written as a textbook on Internet of Things for educational programs at colleges and universities, and also for IoT vendors and service providers who may be interested in offering a broader perspective of Internet of Things to accompany their own customer and developer training programs. The typical reader is expected to have completed a couple of courses in programming using traditional high-level languages at the college-level, and is either a senior or a beginning graduate student in one of the science, technology, engineering or mathematics (STEM) fields. Like our companion book on Cloud Computing, we have tried to write a comprehensive book that transfers knowledge through an immersive "hands on" approach, where the reader is provided the necessary guidance and knowledge to develop working code for real-world IoT applications.
The internet of things (IoT) is the internetworking of physical devices, vehicles, buildings and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data.
The Internet of Things (IoT), sometimes referred to as the Internet of Objects, IoT is basically a complex network that seamlessly connects people and things together through the Internet. Theoretically, anything that can be connected (smart watches, cars, homes, thermostats, vending machines, servers…) and will be connected in the near future using sensors and RFID tags. This allows connected objects to continuously send data over the Web and from anywhere. The first time the term was used in 1999 by Kevin Ashton, the creator of the RFID standard.
A review on orchestration distributed systems for IoT smart services in fog c...IJECEIAES
This paper provides a review of orchestration distributed systems for IoT smart services in fog computing. The cloud infrastructure alone cannot handle the flow of information with the abundance of data, devices and interactions. Thus, fog computing becomes a new paradigm to overcome the problem. One of the first challenges was to build the orchestration systems to activate the clouds and to execute tasks throughout the whole system that has to be considered to the situation in the large scale of geographical distance, heterogeneity and low latency to support the limitation of cloud computing. Some problems exist for orchestration distributed in fog computing are to fulfil with high reliability and low-delay requirements in the IoT applications system and to form a larger computer network like a fog network, at different geographic sites. This paper reviewed approximately 68 articles on orchestration distributed system for fog computing. The result shows the orchestration distribute system and some of the evaluation criteria for fog computing that have been compared in terms of Borg, Kubernetes, Swarm, Mesos, Aurora, heterogeneity, QoS management, scalability, mobility, federation, and interoperability. The significance of this study is to support the researcher in developing orchestration distributed systems for IoT smart services in fog computing focus on IR4.0 national agenda.
Research Inventy : International Journal of Engineering and Scienceinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
SECURITY AND PRIVACY AWARE PROGRAMMING MODEL FOR IOT APPLICATIONS IN CLOUD EN...ijccsa
The introduction of Internet of Things (IoT) applications into daily life has raised serious privacy concerns
among consumers, network service providers, device manufacturers, and other parties involved. This paper
gives a high-level overview of the three phases of data collecting, transmission, and storage in IoT systems
as well as current privacy-preserving technologies. The following elements were investigated during these
three phases:(1) Physical and data connection layer security mechanisms(2) Network remedies(3)
Techniques for distributing and storing data. Real-world systems frequently have multiple phases and
incorporate a variety of methods to guarantee privacy. Therefore, for IoT research, design, development,
and operation, having a thorough understanding of all phases and their technologies can be beneficial. In
this Study introduced two independent methodologies namely generic differential privacy (GenDP) and
Cluster-Based Differential privacy ( Cluster-based DP) algorithms for handling metadata as intents and
intent scope to maintain privacy and security of IoT data in cloud environments. With its help, we can
virtual and connect enormous numbers of devices, get a clearer understanding of the IoT architecture, and
store data eternally. However, due of the dynamic nature of the environment, the diversity of devices, the
ad hoc requirements of multiple stakeholders, and hardware or network failures, it is a very challenging
task to create security-, privacy-, safety-, and quality-aware Internet of Things apps. It is becoming more
and more important to improve data privacy and security through appropriate data acquisition. The
proposed approach resulted in reduced loss performance as compared to Support Vector Machine (SVM) ,
Random Forest (RF) .
Cloud computing is a new technology which refers to an infrastructure where both software and hardware application are operate for the network with the help of internet. Cloud computing provide these services with the help of rule know as you pay as you go on. Internet of things (IoT) is a new technology which is growing rapidly in the field of telecommunications. The aim of IoT devices is to connect all things around us to the internet and thus provide us with smarter cities, intelligent homes and generally more comfortable lives. The combation of cloud computing and IoT devices make rapid development of both technologies. In this paper, we present information about IoT and cloud computing with a focus on the security issues of both technologies. Concluding we present the contribution of cloud computing to the IoT technology. Thus, it shows how the cloud computing technology improves the function of the IoT. Finally present the security challenges of both technologies IoT and cloud computing.
A MIDDLEWARE FOR THE INTERNET OF THINGSIJCNCJournal
The Internet of Things (IoT) connects everyday objects including a vast array of sensors, actuators, and smart devices, referred to as “things” to the Internet, in an intelligent and pervasive fashion. This connectivity gives rise to the possibility of using the tracking capabilities of things to impinge on the location privacy of users. Most of the existing management and location privacy protection solutions do not consider the low-cost and low-power requirements of things; or, they do not account for the heterogeneity, scalability, or autonomy of communications supported in the IoT. Moreover, these traditional solutions do not consider the case where a user wishes to control the granularity of the disclosed information based on
the context of their use (e.g. based on the time or the current location of the user). To fill this gap, a middleware, referred to as the Internet of Things Management Platform (IoT-MP) is proposed in this paper.
THE INTERNET OF THINGS: NEW INTEROPERABILITY, MANAGEMENT AND SECURITY CHALLENGESIJNSA Journal
The Internet of Things (IoT) brings connectivity to about every objects found in the physical space. It extends connectivity to everyday objects. From connected fridges, cars and cities, the IoT creates opportunities in numerous domains. However, this increase in connectivity creates many prominent challenges. This paper provides a survey of some of the major issues challenging the widespread adoption of the IoT. Particularly, it focuses on the interoperability, management, security and privacy issues in the IoT. It is concluded that there is a need to develop a multifaceted technology approach to IoT security, management, and privacy.
THE INTERNET OF THINGS: NEW INTEROPERABILITY, MANAGEMENT AND SECURITY CHALLENGESIJNSA Journal
The Internet of Things (IoT) brings connectivity to about every objects found in the physical space. It extends connectivity to everyday objects. From connected fridges, cars and cities, the IoT creates opportunities in numerous domains. However, this increase in connectivity creates many prominent challenges. This paper provides a survey of some of the major issues challenging the widespread adoption of the IoT. Particularly, it focuses on the interoperability, management, security and privacy issues in the IoT. It is concluded that there is a need to develop a multifaceted technology approach to IoT security,
management, and privacy.
THE INTERNET OF THINGS: NEW INTEROPERABILITY, MANAGEMENT AND SECURITY CHALLENGESIJNSA Journal
The Internet of Things (IoT) brings connectivity to about every objects found in the physical space. It
extends connectivity to everyday objects. From connected fridges, cars and cities, the IoT creates
opportunities in numerous domains. However, this increase in connectivity creates many prominent
challenges. This paper provides a survey of some of the major issues challenging the widespread adoption
of the IoT. Particularly, it focuses on the interoperability, management, security and privacy issues in the
IoT. It is concluded that there is a need to develop a multifaceted technology approach to IoT security,
management, and privacy.
Performance Analysis of Internet of Things Protocols Based Fog/Cloud over Hig...Istabraq M. Al-Joboury
The Internet of Things (IoT) becomes the future of a global data field in which the embedded devices communicate with each other, exchange data and making decisions through the Internet. IoT could improves the qualityoflife in smart cities, but a massive amount of data from different smart devices could slow down or crash database systems. In addition, IoT data transfer to Cloud for monitoring information and generating feedback thus will lead to highdelay in infrastructure level. Fog Computing can help by offering services closer to edge devices. In this paper, we propose an efficient system architecture to mitigate the problem of delay. We provide performance analysis like responsetime, throughput and packet loss for MQTT (Message Queue Telemetry Transport) and HTTP (Hyper Text Transfer Protocol) protocols based on Cloud or Fog serverswith large volume of data form emulated traffic generator working alongsidewith one real sensor. We implement both protocols in the same architecture, with low cost embedded devices to local and Cloud servers with different platforms. The results show that HTTP response time is 12.1 and 4.76 times higher than MQTT Fog and cloud based located in the same geographical area of the sensors respectively. The worst case in performance is observed when the Cloud is public and outside the country region. The results obtained for throughput shows that MQTT has the capability to carry the data with available bandwidth and lowest percentage of packet loss. We also prove that the proposed Fog architecture is an efficient way to reduce latency and enhance performance in Cloud based IoT.
FAST PACKETS DELIVERY TECHNIQUES FOR URGENT PACKETS IN EMERGENCY APPLICATIONS...IJCNCJournal
Internet of Things (IoT) has been receiving a lot of interest around the world in academia, industry and telecommunication organizations. In IoT, many constrained devices can communicate with each other which generate a huge number of transferred packets. These packets have different priorities based on the applications which are supported by IoT technology. Emergency applications such as calling an ambulance in a car accident scenario need fast and reliable packets delivery in order to receive an immediate response from a service provider. When a client sends his request with specific requirements, fast and reliable return contents (packets) should be fulfilled, otherwise, the network resources may be wasted and undesirable circumstances may be counted. Content-Centric Networking (CCN) has become a promising network paradigm that satisfies the requirements of fast packets delivery for emergency applications of IoT. In this paper, we propose fast packets delivery techniques based on CCN for IoT environment, these techniques are suitable for urgent packets in emergency applications that need fast delivery. The simulation results show how the proposed techniques can achieve high throughput, a large number of request messages, fast response time and a low number of lost packets in comparison with the normal CCN.
Deep Learning Approaches for Information Centric Network and Internet of Thingsijtsrd
Technologies are rapidly increasing with additions to them every single day. Cloud Computing and the Internet of Things IoT have become two very closely associated with future internet technologies. One provides a platform to the other for success, the benefits of which could be from computing to processing and analyzing the information to reduce latency for real time applications. However, there are a few IoT devices that do not support on device processing. An alternate solution of this is Edge Computing, where the consumers can witness a close call with the computation and services. In this work, we will be to studying and discussing the application of combining Deep Learning with IoT and Information Centric Networking. A Convolutional Neural Network CNN model, a Deep Learning model, can make the most reliable data available from the complex IoT environment. Additionally, some Deep Learning models such as Recurrent Neural Network RNN and Reinforcement Learning have also integrated with IoT, which can also collect the information from real time applications. Aashay Pawar "Deep Learning Approaches for Information - Centric Network and Internet of Things" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33346.pdf Paper Url: https://www.ijtsrd.com/engineering/computer-engineering/33346/deep-learning-approaches-for-information--centric-network-and-internet-of-things/aashay-pawar
Cloud computing has sweeping impact on the human productivity. Today it’s used for Computing, Storage, Predictions and Intelligent Decision Making, among others. Intelligent Decision-Making using Machine Learning has pushed for the Cloud Services to be even more fast, robust and accurate. Security remains one of the major concerns which affect the cloud computing growth however there exist various research challenges in cloud computing adoption such as lack of well managed service level agreement (SLA), frequent disconnections, resource scarcity, interoperability, privacy, and reliability. Tremendous amount of work still needs to be done to explore the security challenges arising due to widespread usage of cloud deployment using Containers. We also discuss Impact of Cloud Computing and Cloud Standards. Hence in this research paper, a detailed survey of cloud computing, concepts, architectural principles, key services, and implementation, design and deployment challenges of cloud computing are discussed in detail and important future research directions in the era of Machine Learning and Data Science have been identified.
CICS: Cloud–Internet Communication Security Framework for the Internet of Sma...AlAtfat
— The internet of smart devices is a network of intelligent gadgets
with sensors, programs, Wi-Fi and communication network connections. These
devices store the data in cloud and process data outside the device using the
proposed Cloud-Internet communication framework. These devices can
communicate with other devices using the proposed framework. However, there
are many challenges for communication security among the internet of smart
devices. The Cloud can store the device data with security, reliability, privacy
and service availability. The communication Security has been raised as one of
the most critical issues of cloud computing where resolving such an issue would
result in a constant growth in the use and popularity of cloud computing. Our
purpose of this study is to create a framework for providing the communication
security among smart devices network for the internet of things using cloud
computing. Our main contribution links a new study for providing
communication security for the internet of smart devices using the cloud-Internet
framework. This study can be helpful for communication security problem in the
framework of the Internet of Things. The proposed study generates a new
framework for solving the issue of communication security among internet of
smart devices.
Similar to Cloud of things (IoT + Cloud Computing) (20)
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https://alandix.com/academic/papers/synergy2024-epistemic/
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LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
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2. IOT and CLOUD COMPUTING integration is referred to as
Cloud of things in this paper. IoT’s and cloud computing
integration is not that simple and bears some key issues.
Those key issues along with their respective potential
solutions have been highlighted in this paper.
Introduction
2
3. IoT, the term first introduced by Kevin Ashton in 1998, is
a
future of Internet and ubiquitous computing .
The Internet of Things (IoT) is the network of physical
devices, vehicles, home appliances, and other items
embedded with electronics, software, sensors, actuators,
and connectivity which enables these things to connect
and exchange data , creating opportunities for more
direct integration of the physical world into computer-
based systems.
Internet of Things
3
5. Cloud computing, the recent trend in IT, takes
computing from desktop to the whole World Wide
Web and yet, the user doesn’t need to worry about
maintenance and managing all the resources. User
has to bear only the cost of usage of service(s),
which is called, pay-as-you-use, in cloud computing
terms.
Cloud Computing
5
6. provides four categories of services,
namely:
Software as a Service (SaaS),
Platform as a Service
(PaaS), Networks as a Service (NaaS)
Cloud Computing
6
7. Connected devices have reached 9 billion and are expected to
grow more rapidly and reach 24 billion by 2020 .
Since, number of connected devices is rapidly increasing .
Storing that data locally and temporarily will not be possible
any more .
Data must not only be processed to form information and
further, to form knowledge, but it should be made a mean of
wisdom for the user.
IoT and cloud computing working in integration makes a new
paradigm, which we have termed here as Cloud of Things.
CLOUD OF THINGS
7
9. 1. Protocol support
It cannot be guaranteed whether a newly added
sensor will be successfully configured or not. Solution to
this kind of problem may be mapping of standardized
protocols in the gateway.
2. Energy efficiency
A typical wireless is composed of four components: sensing unit,
processing unit, transceiver , and power unit.
There should be means for sensors to generate power from
the environment, like, solar energy, vibration, and air
.Also, effective sleep mode can be handy in this regard as
well.
ISSUES IN CLOUD OF THINGS
9
10. 3. Resource allocation
Depending upon the sensor and the purpose for
which sensor is being used, the type, amount, and
frequency of data generation, resource allocation has to
be mapped.
4. Identity management
When objects are becoming part of Internet (IoT),
they also need a unique identification. Since IPv6
address space is believed to be enough to support even
this kind of ubiquitous networking, assigning IPv6
addresses can be a more than reasonable way in this
regard.
ISSUES IN CLOUD OF THINGS
10
11. 5. IPv6 deployment
IPv6 is to be used for the identification of communicating
objects, then formal deployment of IPv6 would also be an issue.
Studies focusing on IPv4-IPv6 coexistence and smooth
transitioning towards IPv6 must be considered for this problem.
6. Service discovery
With Cloud of Things, the cloud manager or broker has the
responsibility to discover new services for the users. In IoT, any
object can become part of it at any moment and can leave the IoT
at any moment. It would be an issue to discover new services and
their status and update the service advertisement accordingly.
ISSUES IN CLOUD OF THINGS
11
12. 7. Quality of Service provisioning
Depending upon the type of data and its urgency
to be sent to the sync node, QoS must be supported .
8. Location of data storage
For multimedia data, nearest possible virtual
storage server must be allocated.
ISSUES IN CLOUD OF THINGS
12
13. 9. Security and privacy
Sensitive or private data must also be stored
in a virtual storage server located inside the
user’s country or trusted geographical domain.
This can be a friendly country as well .
10.Unnecessary Communication of data
‘smart gateway’ would help in better
utilization of network and Cloud resources.
ISSUES IN CLOUD OF THINGS
13
14. This integration or working in coordination, termed here
as Cloud of Things (CoT), involves some key challenges as
well, which have been discussed in this paper.
More study on the impact of these issues, specially,
keeping in view the type of IoT and type of service being
provided, can be done in the future.
Some of the data being generated by a specific IoT may
require special type of storage and Momentarily, the data
may not be required.
CONCLUSION AND FUTURE WORK
14
15. [1] Yen-Kuang Chen, “Challenges and Opportunities of Internet of Things”,in the proceedings of 17th Asia and South
Pacific Design Automation Conference, , 30 Jan. – 02 Feb., 2012, Santa Clara, CA, USA.
[2] Miao Wu et. al., “Research on the architecture of Internet of things”, in the proceedings of 3rd International
Conference on Advanced Computer Theory and Engineering, 20-22 August, 2012,Beijing, China,
[3] Gerd Kortuem, Fahim Kawsar, Daniel Fitton, and Vasughi Sundramoorthi, “Smart Objects and Building Blocks of
Internet of Things”, IEEE Internet Computing Journal, volume 14, issue 1, pp. 44- 51, Jan.-Feb., 2010
[4] Rafiullah Khan, Sarmad Ullah Khan, Rifaqat Zaheer, and Shahid Khan, “Future Internet: The Internet of Things
Architecture,Possible Applications and Key Challenges”, in the proceedings of 10th International Conference on
Frontiers of Information Technology, Islamabad, Pakistan, 17-19 December, 2012.
[5] Dieter Uckelamann, Mark Harrison, and Floria Michahelles, “Architecting the Internet of Things,” Springer-
Verlag Berlin Heidelberg, 2011.
[6] Shuai Zhang et. al., “Cloud Computing Research and Development Trend”, in the proceedings of International
Conference on Future Networks, 22-24 Jan., 2010, Sanya, China.
[7] W Ma et. al., “The Survey and Research on Application of Cloud Computing”, in the proceedings of 7th
International Conference on Computerl Science and Education, 02-04 November, 2012, Wuyishan Mountain, China.
[8] Y. Jadeja, et. al., “Cloud Computing - Concepts, Architecture and Challenges”, in the proceedings of
International Conference on Computing Electronics and Electrical Technologies, 21-22 March, 2012, Nagercoil,
India.
[9] Minqi Zhou et. al., “Services in the Cloud Computing Era: A Survey”, in the proceedings of 4th International
Universal Communications Symposium, 18-19 October, 2010, Beijing, China.
Used References
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