Big Data and Internet of Things: Literature Review and Analysis

This report presents a literature review on the intersection of Big Data and the Internet of Things (IoT). It examines several research papers, discussing the significance of cloud computing in relation to Big Data and IoT, the concepts of smart and connected communities, and the challenges in data storage within cloud computing. The review covers topics such as the 4Vs of Big Data (Volume, Velocity, Variety, and Value), IoT architecture, and the technologies necessary for enabling connected communities. The report also addresses the challenges of Big Data, including data complexity, computational complexity, and system complexity, as well as applications, investments, and challenges for enterprises. The reviewed papers highlight the need for effective data management and analysis in the context of rapidly expanding data volumes generated by IoT devices, emphasizing the importance of addressing storage, security, and computational challenges to fully realize the potential of these technologies.

Running head: BIG DATA AND INTERNET OF THINGS
Big data and Internet of things
Name of the student
Name of the University
Author Note

1BIG DATA AND INTERNET OF THINGS
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U.
(2015). The rise of “big data” on cloud computing: Review and open research
issues. Information Systems, 47, 98-115.
In this paper, the researchers have been explaining the major significance of cloud
computing in association with big data and the internet of things. According to researchers
the, continuous and huge upsurge in the volume of the data that is captured by the
organisations like the social media and others. Further, the researchers explain the big data
concepts and the basic physiognomies of the big data (Hashem et al., 2015). The researchers
additionaly explain the 4vs which are the core of the bog data in this paper various categories
of the big data that are present in the market. Also while explaining the cloud. While
explaining the cloud data concept and how it is related to the big data the researchers also
explains about the computing and the big data the researchers also provides detailed
comparison in between the several cloud computing platforms that are currently present in
the market and how these are affecting the concept of the Internet of things (Chhabra et al..
2017). In order to explain more about the relationships in between these two technologies, the
researchers take the help of the case studies to show the effect of the normal human life. The
things that the researchers fail to explain are why how the cloud and the big data can affect
the smooth flow of the internet of things and rather focuses only on the positive points of the
technology.
Sun, Y., Song, H., Jara, A. J., & Bie, R. (2016). Internet of things and big data
analytics for smart and connected communities. IEEE access, 4, 766-773.
This is one of the major research that has been done since the past few years. The
researcher explains the concepts of the smart and the connected communities or the SSC.

2BIG DATA AND INTERNET OF THINGS
Further, in this paper, the researchers explain the basic concepts of the SSC namely the
Liveability, Preservations, sustainability, and Revitalization (Sun et al., 2016). The authors
describe these as the basic concepts of the internet of things. In the next step, the authors
explains about the IOT architecture of the connected communities. The author explains an
integrated and smart structure is similar to a human which has its own sensing systems, store
system, nervous system and dedicated brain for decision-making. The function architecture of
the IoT for smart towns involves four different layers: sensing or responding, layer, data
layer, interconnecting layer and services layer (Liu et al., 2015). Further, in this paper, the
researchers explains in details of technologies that will be necessary for the enabling the IOT
in connecting the community. The researchers explains that the big data is one of the major
thing that will be useful for the prices of analysis of details. This has to be ensured that the
big data analytics is one of the major thing for the process of proper implementation of the
connected technologies. When there will be a huge amount of the data that will be generated
and these systems will be huge and there would be a need of evaluating these data in a proper
manner. Further, the concluding the topic the researchers explains about the issues that may
come up in issuing these technologies in a connected community.
Cai, H., Xu, B., Jiang, L., & Vasilakos, A. V. (2017). IoT-based big data storage
systems in cloud computing: Perspectives and challenges. IEEE Internet of Things
Journal, 4(1), 75-87.
The Paper Internet of things based on the Data Storage Systems in Cloud Computing:
Perspectives and Challenges provides some of the major reasons for the process of
implementing the IOT in the smart cities. The paper provides the major backlogs that have
been developed since the implementation of the big data and cloud servers in the IOT.

3BIG DATA AND INTERNET OF THINGS
According to the researchers, the major problem lies in the storage capabilities of the cloud
servers. Further the researchers explains the functional framework of cloud-based IoT
applications (Cai et al., 2017). The researchers explains the different modules that are
explained in the paper in order to properly understand the different technologies of the IOT in
smart cities. Further, the major challenges that can be faced while the implementation process
is discussed well in the paper. One of the major concept which is proper explained in the
paper is the cloud of the things and how these can help in the implementation process of the
IoT (Sowe et al., 2014). The researchers explains the cloud of things as a cloud servers are
connected to all the devices and servers are connected to a single server. Further explaining
the link with the big data the researchers explains the data management process that are
necessary for the process of analysing of the different forms of the data that may be useful for
the purpose of analysing the data in a proper manner. The data mining processes are also well
explained in the paper. Further concluding the topic the researchers explains as The IoT
storage system enables tracking of essential information about items as they move through
cloud platforms and hence there would be need of the big data in the proper analysis of the
different forms of huge data that are generated.
Jin, X., Wah, B. W., Cheng, X., & Wang, Y. (2015). Significance and challenges
of big data research. Big Data Research, 2(2), 59-64.
This paper mainly concerns the challenges that can be faced in the big data. The
research principally focuses on the big data. According to the researchers the rapid expansion
of the Internet, Cloud Computing and Internet of Things have led to the fiery growth of
statistics in practically every industry and business area (Jin et al., 2015). Further, the
researcher aims to discuss the significance of the big data and how these have affected the

4BIG DATA AND INTERNET OF THINGS
lives of the people. The researcher explains about the different kind of the significance the
big data is having in the market. These include the significance of the national development,
industrial upgrades and the scientific researchers among others (De Francisci Morales et al.,
2016). The authors explain these as some of the major problems that have been generating in
the past years and how these have led to problem and challenges in the concept of the IoT and
Big data implementation. Grand challenges of the big data that are well explained in the
paper are the data complexity, computational complexity and the system complexity. The
researchers explain these there as the major problem in the development of the IOT and how
these can hamper the concept. Concluding the topic the researcher generalizes the ensure
mapper and discusses the success points that can help in the development of the Big data in
IoT.
Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications,
investments, and challenges for enterprises. Business Horizons, 58(4), 431-440.
This paper by Lee and Lee explains the challenges of the applications and the
investments in the IOT. The researchers at first explain what is the internet of things and
implementing the internet of things can help in the development of the cities and other
different. The paper focuses on the development that can be done using the internet of the
things. Further, the researchers explain the IoT technologies, these technologies are Wireless
sensor networks (WSN), Middleware, Cloud computing; Radio frequency identification
(RFID) and IoT application software. Further, the researchers explain these technologies in a
details manner (Lee & Lee, 2015). The use of the big data and the business analytics are also
well explained in the paper. Further, the evolution of the foundational technologies is well
explained in the paper that can help in the process of the analysing of the data. While
explaining the cloud data concept and how it is related to the big data the researchers also
explains about the computing and the big data the researchers also provides detailed

5BIG DATA AND INTERNET OF THINGS
comparison in between the several cloud computing platforms that are currently present in
the market and how these are affecting the concept of the Internet of things (Zhang et al.,
2018). Concluding the topic the researcher explains about the need of the IOT in the modern
generation and how the use of the big data can affect it.

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References:
Cai, H., Xu, B., Jiang, L., & Vasilakos, A. V. (2017). IoT-based big data storage
systems in cloud computing: Perspectives and challenges. IEEE Internet of
Things Journal, 4(1), 75-87.
Chhabra, A. S., Choudhury, T., Srivastava, A. V., & Aggarwal, A. (2017, December).
Prediction for big data and IoT in 2017. In 2017 International Conference on
Infocom Technologies and Unmanned Systems (Trends and Future
Directions)(ICTUS) (pp. 181-187). IEEE.
De Francisci Morales, G., Bifet, A., Khan, L., Gama, J., & Fan, W. (2016, August).
Iot big data stream mining. In Proceedings of the 22nd ACM SIGKDD
International Conference on Knowledge Discovery and Data Mining (pp.
2119-2120). ACM.
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U.
(2015). The rise of “big data” on cloud computing: Review and open research
issues. Information Systems, 47, 98-115
Jin, X., Wah, B. W., Cheng, X., & Wang, Y. (2015). Significance and challenges of
big data research. Big Data Research, 2(2), 59-64.
Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments,
and challenges for enterprises. Business Horizons, 58(4), 431-440.
Liu, C., Yang, C., Zhang, X., & Chen, J. (2015). External integrity verification for
outsourced big data in cloud and IoT: A big picture. Future generation
computer systems, 49, 58-67.

7BIG DATA AND INTERNET OF THINGS
Sowe, S. K., Kimata, T., Dong, M., & Zettsu, K. (2014, July). Managing
heterogeneous sensor data on a big data platform: IoT services for data-
intensive science. In Computer Software and Applications Conference
Workshops (COMPSACW), 2014 IEEE 38th International (pp. 295-300).
IEEE.
Sun, Y., Song, H., Jara, A. J., & Bie, R. (2016). Internet of things and big data
analytics for smart and connected communities. IEEE access, 4, 766-773.
Zhang, Q., Yang, L. T., Chen, Z., & Li, P. (2018). High-order possibilistic c-means
algorithms based on tensor decompositions for big data in IoT. Information
Fusion, 39, 72-80.