IRJET-A Review: IoT and Cloud Computing for Future Internet

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1098
A REVIEW: IOT AND CLOUD COMPUTING FOR FUTURE INTERNET
Arun K Mani1, Shreevani D2, Samra said3, M.Gokilavani4, Unnikrishnan K N5
1,2,3Student, ASIET, kalady, Kerala.
4,5Assistant Professor, ASIET, kalady, Kerala.
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Abstract – Trendy, Internet of Things (IoT) and Cloud Computing are the most modern issues of Future Internet. The IoT
is the most important concept of Upcoming Internet for providing a collective global IT Platform to combine seamless
networks and networked things. Cloud Computing provides backend solution for processing huge data streams and
computations while facing the challenges of everything will be connected with seamless networks in the future. However,
there is a lack of common fabric for integrating IoT and Cloud. We believe that the IMS communication platform is the most
suitable fabric for integrating IoT and Cloud. In this study, we will provide the review about various cloud computing
dominating fields in IoT and all discussion of open challenges and possible solutions for Future Internet under cloud
computing.
Key Words: IoT, cloud computing, Future Internet.
1. INTRODUCTION
The ‘Thing’ in IoT can be any device with any kind of built-in-sensors with theabilityto collectandtransferdata overa
network without manual intervention. The embedded technology in the object helps them to interact with internal states and
the external environment, which in turn helps in decisions making process.
Fig-1: What is IoT?
In a nutshell, IoT [6] is a concept that connects all the devices to the internet and let them communicate with each
other over the internet. IoT is a giant network of connected devices – all of which gather and share data about how they are
used and the environments in which they are operated. By doing so, each of your devices will be learning from the experience
of other devices, as humans do. IoT is trying to expand the interdependence in human- i.e. interact, contribute and
collaborate to things. A developer submits the application witha documentcontainingthestandards,logic,errors& exceptions
handled by the tester. Again, if there are any issues Tester communicates it back to the Developer.Ittakesmultipleiterations&
in this manner a smart application is created.
Similarly, a room temperature sensor gathers the data and send it across the network, which is then used by multiple
device sensors to adjust their temperatures accordingly. For example, refrigerator’s sensor can gather the data regardingthe
outside temperature and accordingly adjust the refrigerator’s temperature. Similarly, your air conditioners can also adjustits
temperature accordingly. This is how devices can interact, contribute & collaborate.

2. IOT ACROSS VARIOUS DOMAINS
2.1. Energy Applications: The energy rates have raised to a great instinct. Individuals and organizations [6, 3], both are
searching ways to reduce and control the consumption. IoT provides a way to not only monitor the energy usage at the
appliance-level but also at the house-level, grid level or couldbeatthedistributionlevel.SmartMeters&SmartGridareusedto
monitor energy consumption. It also detects threats to the system performance and stability, which protect appliances from
downtime and damage.
2.2. Healthcare Application: Smart watches and fitness devices have changed the frequencyofhealthmonitoring. Peoplecan
monitor their own health at regular intervals. Not only this, now if a patient is comingtothehospital byambulance, bythetime
he or she reaches the hospital his health report is diagnosed by doctors and the hospital quickly starts the treatment.Thedata
gathered from multiple healthcare applications are now collected and used to analyses different disease and find its cure.
2.3. Education: IoT provides education aids which helps in fulfilling the gaps in the education industry. It not only improves
the quality of education but also optimizes the cost and improves the management by taking into consideration student’s
response and performance.
2.4. Government: Governments are trying to build smart cities using IoT solutions. IoT enhances armed force systems and
services. It provides better securityacrossthe bordersthroughinexpensive&high-performancedevices.IoThelps government
agencies to monitor data in real-time and improve their services like healthcare, transportation, education etc.
2.5. Air and Water Pollution: Through various sensors, we can detect the pollutionintheairand waterbyfrequentsampling.
This helps in preventing substantial contamination and related disasters. IoT allows operations to minimize the human
intervention in farming analysis and monitoring. Systems automatically detect changes in crops, soil, environment, andmore.
2.6. Transportation: IoT has changed the transportation sector. Now, wehaveself-drivingcarswithsensors,traffic lightsthat
can sense the traffic and switch automatically, parking assistance, giving us the location of free parkingspace etc.Also,various
sensors in your vehicle indicate you about the current status of your vehicle, so that you don’t face any issues while travelling.
2.7. Marketing your product: Using IoT, organizations can better analyze & respond to customer preferences by delivering
relevant content and solutions. It helps in improving business strategies in the real-time. Now that we are aware of the
powerful IoT solutions that have been astoundingly impacting various domains, let’s take a deep dive and understand
Raspberry Pi, which is commonly used to prepare IoT solutions. After understanding Raspberry Pi we will be creating an IoT
application.
3. IOT AND CLOUD COMPUTING FOR FUTURE INTERNET:
The term of Future Internet is a collection of data communication network technologies in the future. The Internet of
Things (IoT) is the most important concept of Future Internet for providing a common global IT Platformtocombineseamless
networks and networked things. In the future Internet, peoplewill beconnectedAnytime,Anyplace,withanything andanyone,
and appropriately utilizing any network and Any Service. In other words, the IoT addresses the Convergence, Content,
Collections, Computing, Communication, and Connectivity between people andthings [1].Ontheotherhand,Cloud Computing
[2] is regarded as the backend solution for processing huge data streams and computations while facing the challenges of
everything will be connected with seamless networks in the future. Cloud technologies canprovidea virtual,scalable,efficient,
and flexible data centre for context-aware computing and online service to enable IoT.
Both the IoT and Cloud Computing are the trends of FutureInternet.However,thedevelopmentsofIoTtechnology are
diversity and are not interoperable. That results theserviceprovidersandoperatorshavenodefinitespecificationtofollow.On
the other hand, the cloud computing solutions are depended on service providers. Since many international organizationsare
devoted to work out their specifications for providing a common architectureofnetworksandsoftware.Thus,weregardtheIP
Multimedia Subsystem (IMS) is the ideal solution for fulfilling the requirements. However, there are still many challenges for
IMS being the network and software fabric between IoT and Cloud. In this paper, we discuss the open challenges and propose
the possible solutions for Future Internet. Finally, we construct an early IoT bootstrap platform to provide the discussion of
those open challenges and solutions for deploying IoT in Future Internet.

4. RELATED WORKS:
4.1. Integration of Cloud Computing with Internet of Things: Challenges and Open Issues [4]: In this paper author says
that the Internet of Things (IoT) is becoming the next Internet-related revolution. It allows billions of devices to be connected
and communicate with each other to share information that improves the quality of our daily lives. On the other hand, Cloud
Computing provides on-demand, convenient and scalable network access which makes it possible to share computing
resources; indeed, this, in turn, enables dynamic data integration from various data sources.Therearemanyissuesstanding in
the way of the successful implementation of both Cloud and IoT. The integration of Cloud Computing with the IoT is the most
effective way on which to overcome these issues. The vast number of resources available on the Cloud can be extremely
beneficial for the IoT, while the Cloud can gain more publicity to improve its limitations with real world objects in a more
dynamic and distributed manner. This paper provides an overview of the integration of the Cloud into the IoT by highlighting
the integration benefits and implementation challenges. Discussion will also focus on the architecture of the resultant Cloud-
based IoT paradigm and its new applications scenarios. Finally, open issues and future research directions are alsosuggested.
4.2. Combination of Cloud Computing and Internet of Things (IOT) in Medical Monitoring Systems [11]: With the fast
development of cloud computing and computer science technology, the combination of the IOT and clod computing in the
medical-assisted environment is urgently needed. The prior research focus more on individual development of the single
technique, quite a less research on the field of medical monitoring and managing service application have been conducted.
Therefore, in this paper, we study and analyze the application of cloud computing and the Internet of Things on the field of
medical environment. We are trying to make the combination of the two kinds of technology monitoring and management
information system in hospital. Remote monitoring cloudplatformarchitecturemodel (RMCPHI)setupmedical informationin
the first place. Then the RMCPHI architecture was analyzed. Eventually, the last effective PSOSAA algorithm proposed the
hospital medical information service cloud system monitoring and management application. Experimental simulation
illustrates that the proposed algorithm outperforms the other state-of-the-artalgorithms.Furtherpotential researchareasare
discussed.
4.3. Cloud Computing and Internet of Things: Issues and Developments[5]:Cloudcomputingisa pervasive paradigmthat
is growing by the day. Various service types are gaining increased importance. Internet of things is a technology that is
developing. It allows connectivity of both smart and dumb systems over the internet. Cloud computing will continue to be
relevant to IoT because of scalable services available on the cloud. Cloud computing is the need for users to procure servers,
storage, and applications. These services can be paid for and utilized using the various cloud service providers. Clearly, IoT
which is expected to connect everything to everyone, requires not only connectivity but large storage that can be made
available either through on premise or off-premise cloud facility. On the other hand, events in the cloud and IoT are dynamic.
This paper aims to provide an understanding of cloud and IoT. In addition, the paper discusses current trends in terms of
industry activities. It also examines the prospects of cloud and IoT trends in cloud application management. This will be of
benefit to prospective cloud users and even cloud providers.
4.4. A Application of Cloud Computing and IOT in Logistics [1]: This paper analyses the characteristics ofcloudcomputing
and IOT (internet of things), introduce a logistics operation based on cloud computing and IOT, which establish a logistics
information interchange, data exchange to meet the business requirements of the various types of logisticspublicinformation
platform.
4.5. A Framework for IoT Sensor Data Analytics and Visualization in Cloud Computing Environments: The planet,
natural systems, human systems and physical objects have always generated enormous amountsofdata butwecouldnothear
it, see it or capture it. But now we can because all of these things are instrumented and connected and so we have access to it.
It is estimated there are over a billion internet users and rapidly increasing. But there are more things on the internet
than there are people on the internet. This is what we generally mean when we say internet of things. There are millions and
millions of devices with sensors that are linked up together using networks that generate a sea of data. With the benefit of
integrated information processing capacity, industrial products will take on smart capabilities.
4.6. The Emergent Technological and TheoreticalParadigmsinEducation:TheInterrelationsofCloudComputing(CC),
Connectives and Internet of Things (IoT) [9]: With the rapid development and increase in Internet speed in network
technology, communication and interaction with others, even with objects, as well as sharing and creation of knowledge is
supported and facilitated more effectively than ever before. The characteristics of society areinanincessantchangetowardsa
more social, networked, and connected one. The education sector is also in a constant state of evolution, naturallyasa resultof
emerging technologies and theories. Based on this fact, educational institutions, inevitably, have to transform their existing
frameworks to promote learning and teaching in the 21st Century. This paper introducesbackgroundandfundamentals about
emerging technology paradigms – Cloud Computing (CC) and Internet of Things (IoT), and an emerging learning theory –

Connectives. The relationships between these three are investigated to provide insights and raise awareness on their rich
potentials for and impacts on learning experiences.
4.7. Adaptive Security Framework in Internet of Things (IoT) for Providing Mobile Cloud Computing [10]: Internet of
Things (IoT) has immense potential to change many of our daily activities, routines and behaviors. Thepervasivenatureofthe
information sources means that a great amount of data pertaining to possibly every aspect of human activity, both public and
private, will be produced, transmitted, collected, stored and processed. Consequently, integrity and confidentiality of
transmitted data as well as the authentication of (and trust in) the services that offer the data is crucial. Hence, security is a
critical functionality for the IoT. Enormous growth of mobile devices capability, critical automation of industry fields and the
widespread of wireless communication cast need for seamless provision of mobile web servicesintheInternetofThings(IoT)
environment. These are enriched by mobile cloud computing. However, it poses a challenge for its reliability, data
authentication, power consumption and security issues. There is also a need for auto self-operated sensors for geo-sensing,
agriculture, automatic cars, factories, roads, medicals application and more. IoT is still highly not reliable in points of
integration between how its devices are connected, that is, there is poor utilization of the existing IP security protocols.In this
chapter, we propose a deep penetration method for the IoT connected set of devices, along with the mobile cloud. An
architecture and testing framework for providing mobile cloud computingintheIoT thatisbasedontheobjectsecurity,power
utilization, and latency measures and packet loss rate is explained.
4.8. Future Edge Cloud and Edge Computing for Internet of Things Applications [7]: The Internet is evolving rapidly
toward the future Internet of Things (IoT) which will potentially connect billions or even trillions of edge devices whichcould
generate huge amount of data at a very high speed and some of the applications may require very low latency. The traditional
cloud infrastructure will run into a series of difficulties due to centralized computation, storage, and networking in a small
number of datacenters, and due to the relative long distance between the edge devices and the remote datacenter’s. To tackle
this challenge, edge cloud and edge computing seem to be a promising possibility which pro- videos resources closer to the
resource-poor edge IoT devices and potentially can nurture a new IoT innovation ecosystem. Such prospect is enabled by a
series of emerging technologies, including network function virtualization and software defined networking. In this survey
paper, we investigate the key rationale, the state-of-the-art efforts, the key enabling technologies and research topics, and
typical IoT applications benefiting from edge cloud. We aim to draw an overall picture of both ongoing research efforts and
future possible research directions through comprehensive discussions.
4.9. Integrate IoT with cloud [8]: In today’s world, integrating IoT with cloud computing is gaining popularity with cloud
computing. To integrating IoT with the cloud can be done by using sensor nodes. This paper focused on the secure integration
of cloud platform with IoT to achieve the data requirements of IoT. Cloud computing and IoT both regards to the wireless
communications. Thus, it shows how the cloud computing technology improves the function of IoT. Thus we discussed the
security challenges of IoT with cloud computing.
4.10. Healthcare Solution based on MachineLearning ApplicationsinIOT andEdgeComputing [2]:Cloudcomputingand
Internet of Things (IOT) are two technologies which though not directly related have a significant role in our day to day living.
These two technologies can be merged together to solve problems in domains of healthcare, surveillance, assisted living,
agriculture, asset tracking. However, Cloud computing is not an ideal choice for applications that require real time responses
due to high network latency. Hence a new technique “edge computing” was introduced thatwouldpushthecomputationtothe
“edge of the network” therebyreducingnetwork latencies.Edgecomputingcanaddressconcernsinvolving real timeresponses,
battery power consumption, bandwidth cost as well as data safety and privacy. In this paperweshall considertheapplications
of edge computing and IOT in the field of healthcare. In this research especially,weare exploringthepossibilitiesof integration
of cloud/edge computing and Machine Learning paradigms into a Distributed computing based IOT Framework. The target is
too able to extract relevant information of interest among the huge data that is typically generated by the front-end Sensor
frameworks in IOT devices. Some intelligence can be included in the front-end module itself to enable the front-end to take a
decision on data priority. Guidance regarding how to achieve this can be provided by a backend IOT server. It is proposedthat
the backend server has Machine Learning based implementations to be able to automatically learn data signatures of interest
based on the data it has already received.
5. CONCLUSION
Both the IoT and Cloud Computing are the trends of FutureInternet.However,thedevelopmentsofIoTtechnology are
diversity and are not interoperable. That results theserviceprovidersandoperatorshavenodefinitespecificationtofollow.On
the other hand, the cloud computing solutions are depended on service providers. Since many international organizationsare
devoted to work out their specifications for providing a common architectureofnetworksandsoftware.Thus,weregardtheIP
Multimedia Subsystem (IMS) is the ideal solution for fulfilling the requirements. However, there are still many challenges for

IMS being the network and software fabric between IoT and Cloud. In this paper, we discuss the open challenges and propose
the possible solutions for Future Internet.
ACKNOWLEDGEMENT
I am sincerely thankful to my Guide Asst.Prof. Gokilavani M, Asst.Prof. Unnikrishnan AP for their guidance for my journal.
Without her help it was tough job for me to accomplish this task. I am especially very thankful to my Departmentof CSEforthe
consistent encouragement and motivation throughout the period of this work.
REFERENCES
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[2] Dr S. Mohan Kumar1 and Darpan Majumder.,”HealthcareSolutionbasedonMachineLearningApplicationsinIOTandEdge
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[4] Hany F. Atlam ; Ahmed Alenezi ; Abdulrahman Alharthi ; Robert J. Walters ; Gary B. Wills,”IntegrationofCloudComputing
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[11] Yu Liu , Beibei Dong, Benzhen Guo , Jingjing Yang, and Wei Peng,”Combination of Cloud Computing and Internet of Things
(IOT) in Medical Monitoring Systems”, IJHIT, Vol.8, (2015), pp. 367-376, http://dx.doi.org/10.14257/ijhit.2015.8.12.28.

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