Exploring Big Data Challenges within IoT and Cloud Environments

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Big Data challenges in
IoT and Cloud

ABSTRACT- A huge and big amount of data
is generated in the form of bytes of each day, and
these all data is developed form the IOT and
cloud, analysis all the data and challenges of big
data it is required to have knowledge about the
extract which we are using in it, so the basic
objective of this research is to analyse the
challenges of big data. As a result, this research
provides the platform to analysis and explore all
the result which is related to various stages of big
data, IOT and cloud (Fand and Zhang and Wang,
2015 p.6).
CHALLENGE – There are various types of
challenges present in the big data for IOT,
because all the daily life objects are
interconnected with each other which is term as
IOT, there is sensor and a large amount of data
also present simultaneously which often refer to
big data, and it generates some problems as well
like handling large volume, imposes challenges
which are constrained, hence it big data become
more challenging and these challenges associated
with data process and integration challenge of
data.
Same challenges of big data also present in
cloud, because big data is working on the latest
technologies, and also on some specific objects
like volume, velocity, and so on, so for this load
cloud computing seems perfect host to host the
available data which is involved in it, but some
common challenges also present in big data for
cloud.
 Secure big data
 Integrate data source
 Data growth
 Resistance of organization
So these are the basic challenges which are
evolved in big data for cloud (Botta, 2014, pp.
23-30).
Keywords- Internet of things(IoT), big data
challenge, cloud,

1. INTRODUCTION
This report going to help to understand the power
of big data in IOT and cloud, because IOT is
generally used to trigger all the available things
which are present in big data, so we can say that
IOT has a big impact on this, and same as this big
data cloud is also used to store the facilitator to
the emergence of any big data, and it is also
helpful as we know big data is used as the
collection of large data , search and also used to
perform various operation, but with cloud
computing in big data it will help to focus on
infrastructure and allow the big data for analysis.
As we know that big data is not the one who is
always well understood so to resolve this
problem it is important to understand about IoT
and cloud regarding big data, because IOT has
some most prominent features which are helpful
to understand about the real-time communication
and information which is related to the connected
things, also it is useful to understand and observe
the important insights and process behaviour.
The main purpose of this report is there is various
kind of big data challenge present in cloud
computing, which is related to analysing the data
or some other high-speed connectivity era, set the
data but for this, there is always require some
detail to access it, and that is a problem for this.
For solving this kind of problem it is required to
face the challenge related to big data in IoT and
cloud.
2. LITERATURE REVIEW
Big data challenge in IOT and cloud is a very
major and trendy topic because there is
various kind of new challenges and their
solutions publish every single day.
In 2017, there was publication defined which
shows all the method to deploy big data
challenges related to different fields, where it
define various step to resolve the problem :
 Feasibility require
 Stakeholder require
 Access all the available application
 Focus on all the topologies and data
platform
 Integration of data.
Same like this another paper was
published in 2018, which shows how
effectively big data impact by IOT and
cloud because these both technologies are
very fast so it emerges and shows
problems like :
 Cost reduction
 Reduce overheads of big data
 Flexibility/ scalability
2.1 IOT Domain- It is known as the simple
interrelated system which has various
computing devices in it. It is useful
because it provides a unique identifier
which has all the ability to transfer data
and also to share the data over a given

network, without requiring and
demanding the human to human
interactions. It is also a network of all
physical devices, and the network has the
ability to combine different objects
together, as we know that there is a
various amount of collective data also
generate in IOT, and that will impact on
all across big data.
2.2 Cloud Domain- It is simply implies as
the hardware and software which is used
to deliver services over the network
either it is internet effective, it is used as
the metaphor for the internet, this is also
considered as the technology which
allows all the user and server to maintain
the data and application which are
related to this, and this also affects the
big data, and for this there is various
challenge present in cloud for big data.
 Large sized data are also
available in the cloud.
 Movement of data which affect
the data flow.
 Utilization of cloud collecting
(Stojkoska and Trivodaliev,
2017, p.140).
3. SOLUTION
The solution which is present to solve the
big data challenge are various like in IOT
there is some parts divide to solve the
challenges and problem occurs during
processing any data.
 Data storage: In IOT there is only
one impacted element is present
that key point is storage. So the
main solution of big data problem
through IOT is it provides a
private cloud model to store even
large amount of data.
 Cybersecurity- In any data
process main concern is data
security and in IOT provide a
various number of a bane to
resolve this problem so it is
helpful to solve the
interoperability issue in this.
For solving the cloud problem in big
data there is further 2 main points are
present :
 Evaluation skills of cloud- It
is effective because it is
helpful to evaluate the crucial
condition, and also useful to
check all the process and
examine to integrate that.
 Essential strategic skill- This
is also considered as the
important key point to solve
any problem in big data
related to cloud, in the cloud
all the services are managed
by the big data and solve the

cloud intricacy. So build an
essential data platform is
helped to develop and solve
the problems.
4. FUTURE RESEARCH
In recent years, there is various rapid
development list available for the IOT and also
for cloud computing, which lead towards the
growth of data. As we know that big data consist
as the most extensive and important, so all the
challenges and keys which are related to the big
data is important as the future purpose. So for the
future research, it is important to identify
different perspective which is related to big data
significations and opportunities, also it is
important to describe the complexity and also the
solutions which are used or addressed to solve
the problem (Wang and Ranjan, 2015, p.77).
5. ADVANTAGE/
DISADVANTAGES
In this, we store all the data which is demanded
by the big data because it is beneficial to solve all
the problems which are used in the cloud and
IOT. So the main and basic method to solve this
challenge of big data is data locality because it
affects the volume of the data which is present in
the form of analytics. MapReduce also considers
the interesting method of big data method,
because it is used to explore the locality of the
data and help to improve the performance of the
application. Big data challenges also beneficial
for most of the organization.
 It will help to manufacture the
organization in a better manner.
 It is also helpful to raise the self-service
for the users.
 IOT in big data helps in monitoring,
collecting and analysing the data.
 Cloud in big data to establish and infract
the data quickly, also it provides a
scalable environment for the data.
It also affects in today's era and also an internet
of things is considered as the most ever growing
network of physical objects like IP and another
object which is connected to the internet, and the
role of big data in IOT is to process data and
store that data with different storing.
Technologies, mainly IOT is helpful to store
large and unstructured data in a big data system.
It is also important to integrate the structured and
unstructured data, also helpful to address the
speed. Data storage and power availability are
considered as the major advantage of this
challenge which is present in big data.
6. CONCLUSION
Big data is considered as the most critical and
emerging technology, and on the other hand, the
cloud is also taking as the most recent and

important technologies. So there are various
different challenges also present like volume,
velocity and managing the data, and for this
cloud computing and IOT seems like a perfect
driver to solve these kinds of challenges. So
massive amount of data which is related to the
IOT and cloud impact the big data. So this report
is all about the challenge faced by the big data in
the cloud and in OT.
7. REFERNCE
Fang, H., Zhang, Z., Wang, C. J., Daneshmand,
M., Wang, C., & Wang, H. (2015). big data
research. 29(5), 6-9.
Botta, A.,(2014, August). On the integration of
cloud computing and the internet of things.
Future Internet of Things and Cloud (pp. 23-30).
Stojkoska, B. L. R., & Trivodaliev, K. V. (2017).
A review of the Internet of Things for smart
home: Challenges and solutions.140, 1454-1464.
Wang, L., & Ranjan, R. (2015). Processing
distributed internet of things data in clouds. 2(1),
76-80.