Research Proposal: Big Data Challenges in IoT and Cloud Computing

Desklib provides past papers and solved assignments for students. This report details a research proposal on Big Data challenges.

Running head: RESEARCH PROPOSAL INFORMATION
Research Proposal Information
Name of the Student:
Student ID:
Name of the University:

RESEARCH PROPOSAL INFORMATION
Table of Contents
Milestone 1.................................................................................................................................2
Introduction................................................................................................................................2
Purpose of the report..................................................................................................................2
Topic of the report......................................................................................................................2
Expected format of report..........................................................................................................2
Problem Statement.....................................................................................................................3
Annotated Bibliography.............................................................................................................3
References..................................................................................................................................5
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RESEARCH PROPOSAL INFORMATION
Milestone 1
Introduction
The research proposal is developed for integrating the development of the facilities for
forming the continuation of the activities. The proposal would be developed for implying the
continuous formation development. The topic of Big Data challenges in IoT and Cloud would
be evaluated for the development of the introduced management and work performance. The
following assignment would be developed for making an effective research proposal for
aligning the continuation of the information collection and research on the topic.
Purpose of the report
The report would help in developing an effective and implied management of the facilities for
forming the continuous management of the innovative information management. The report
would help in identifying the main structure, topic, and the problem statement for the topic of
Big Data challenges in IoT and Cloud. It would help in easing the management of the
effective work condition management. The report would allow the continuous management
of the facilities for integrating the management of the works. The management of the
activities had allowed the use for the formation of the innovative management development.
The report would be listed for aligning the development of the facilities and aligning the
integration of the innovative information management. The main purpose of the report is for
the development of the successful and effective alignment of the information for the activity
alignment.
Topic of the report
The topic of the report is Big Data challenges in IoT and Cloud.
Expected format of report
The expected format for the report is based on the milestones deliverable and aligned
development of the information development. The first milestone for the project report is for
the development of the facilities and aligning the development of the activities. The report
would include the alignment management and formation of the developed and integration and
development facilities. The report management had implied the continuation of the facilities
and it would also help in making sure that the report is very effective with the implied
development works.
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RESEARCH PROPOSAL INFORMATION
Problem Statement
The major problem statement for the research includes the listing of the facilities and aligning
the continued management of the facilities. The major problem statement would include the
listing of the facilities and aligning the utilisation of the facilities. The aligned development
would be marked with the alignment of the successful development of facilities. The major
problem statement includes the alignment of the innovative and effective information
alignment for dealing with the successful and effective listing of the facilities.
Annotated Bibliography
Article 1:
According to the study by Jin et al. (2017), the aligned management and development would
endure the compilation of the innovative and managed development of facilities. The aligned
development of facilities would also enable the constant integration and management.
Article 2:
Marjani et al. (2017) have pointed out that the cloud computing and IoT based alignment
would ensure the continued development management. The aligned listing and development
would imply the continuous management of the facilities.
Article 3:
Hassanalieragh et al. (2015) have also endured the development would be aligned for
developing the continuous management of the facilities for enduring the confinement of the
innovative management works.
Article 4:
Stergiou et al. (2018) have pointed that the issues of management and the scaling of data is
the primary alignment of the improved management and development. The involvement
would endure the constant management for enduring the alignment of the activities.
Article 5:
Wang and Ranjan (2015) have improved the confinement of the effective listing of the
activities and aligning the development and management. The activities would be marked
with the deployed management and formation.
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RESEARCH PROPOSAL INFORMATION
Article 6:
According to Yang et al. (2017), it is very helpful for managing the aligned continuation of
the implied management and development of facilities. The issues in big data management
would form the major issues in developing the management of factors.
Article 7:
Sajid, Abbas and Saleem (2016) have pointed out the listing management and continuation of
the successful and development management formation. The integrated listing of the facilities
would be marked with the innovative involvement of the works.
Article 8:
According to Díaz, Martín and Rubio (2016), the issues in the big data analysis would
employ the co-ordinated listing of the facilities and managing the innovative and effective
management of the works. The aligned studies would also endure the combat listing of the
facilities and co-ordinating the managed work development.
Article 9
The study by Ahlgren, Hidell and Ngai (2016) has provided an effective situational analysis
for deploying the works and continue the cohesive listing of the management process. The
integration would manage the continuation of the factors for enabling the listed development
management.
Article 10:
Cai et al. (2017) have provided an overview of the perspectives and challenges of IoT-based
big data storage systems in cloud computing for enabling the continuation of the effective
issue alignment.
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RESEARCH PROPOSAL INFORMATION
References
Ahlgren, B., Hidell, M. and Ngai, E.C.H., 2016. Internet of things for smart cities:
Interoperability and open data. IEEE Internet Computing, 20(6), pp.52-56.
Cai, H., Xu, B., Jiang, L. and Vasilakos, A.V., 2017. IoT-based big data storage systems in
cloud computing: Perspectives and challenges. IEEE Internet of Things Journal, 4(1), pp.75-
87.
Díaz, M., Martín, C. and Rubio, B., 2016. State-of-the-art, challenges, and open issues in the
integration of Internet of things and cloud computing. Journal of Network and Computer
applications, 67, pp.99-117.
Hassanalieragh, M., Page, A., Soyata, T., Sharma, G., Aktas, M., Mateos, G., Kantarci, B.
and Andreescu, S., 2015, June. Health monitoring and management using Internet-of-Things
(IoT) sensing with cloud-based processing: Opportunities and challenges. In 2015 IEEE
International Conference on Services Computing (pp. 285-292). IEEE.
Jin, X., Wah, B.W., Cheng, X. and Wang, Y., 2015. Significance and challenges of big data
research. Big Data Research, 2(2), pp.59-64.
Marjani, M., Nasaruddin, F., Gani, A., Karim, A., Hashem, I.A.T., Siddiqa, A. and Yaqoob,
I., 2017. Big IoT data analytics: architecture, opportunities, and open research
challenges. IEEE Access, 5, pp.5247-5261.
Sajid, A., Abbas, H. and Saleem, K., 2016. Cloud-assisted IoT-based SCADA systems
security: A review of the state of the art and future challenges. IEEE Access, 4, pp.1375-
1384.
Stergiou, C., Psannis, K.E., Kim, B.G. and Gupta, B., 2018. Secure integration of IoT and
cloud computing. Future Generation Computer Systems, 78, pp.964-975.
Wang, L. and Ranjan, R., 2015. Processing distributed internet of things data in clouds. IEEE
Cloud Computing, 2(1), pp.76-80.
Yang, C., Huang, Q., Li, Z., Liu, K. and Hu, F., 2017. Big Data and cloud computing:
innovation opportunities and challenges. International Journal of Digital Earth, 10(1), pp.13-
53.
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