Annotated Bibliography on Mobile Cloud Computing Applications

This annotated bibliography explores the applications of mobile cloud computing across various domains, including education and healthcare. The document analyzes ten journal articles and research papers, highlighting the increasing use of mobile phones and cloud services to enhance user flexibility and accessibility. It focuses on cloud-based solutions for learners, particularly those with disabilities, and examines the integration of smartphone applications with mobile cloud computing for improved learning experiences. The bibliography also addresses security aspects, cost-effectiveness, and the development of adaptive learning techniques. Key themes include the use of mobile technology to mitigate learning challenges, the design of cloud-based systems, and the importance of ICT in creating effective learning environments. The research emphasizes the potential of mobile cloud computing to transform education and healthcare through innovative and accessible solutions.

Running head: ANNOTATED BIBLIOGRAPHY ON MOBILE CLOUD COMPUTING
Annotated Bibliography
Name of the Student:
Name of the University:
Author’s Note

1ANNOTATED BIBLIOGRAPHY ON MOBILE CLOUD COMPUTING
Abstract
Background: Cloud Computing is an emerging topic in the market in all fields. This has able to
develop cloud-based approach in the health care industry and many others. This cloud based
approach has been functionally helpful for the users for usingthe cloud computing. The mobile
cloud computing has helped in maintaining the comfort level of the users.
Goal: To develop a cloud based solution, for the disable learners.
Methods: Algorithm and framework are designed which eliminate the limitations of existing
architecture. The framework will be consisting of several devices, which will collect the data in
an optimizing way.
Conclusion: The results of the research paper have able to fulfill the objectives of the research
papers.
Key words: Cloud Computing, Mobile Cloud Computing, Secured Logistic Architecture, Time,
Storage, Integrated Database

2ANNOTATED BIBLIOGRAPHY ON MOBILE CLOUD COMPUTING
Table of Contents
Introduction......................................................................................................................................3
Process of the Work.........................................................................................................................3
Feature of the solution.....................................................................................................................4
Conclusion.......................................................................................................................................6
References........................................................................................................................................7

3ANNOTATED BIBLIOGRAPHY ON MOBILE CLOUD COMPUTING
Introduction
Mobile Cloud Computing is a modern trend in the market. The use of the mobile phones
in the market has been increased these days. The use of the cloud computing in the mobile
phones has increased the flexibility in the cloud services to the users. The user can access the
cloud services easily with the help of their mobile.
This assignment deals with the use of the mobile cloud computing in various fields.
There are ten journals and articles are taken for analyzing the applications of the mobile cloud
computing.
This report outlines the concept of the mobile cloud computing from using various
journals and articles on the topic. These analyses of the journals help in understanding the
importance of the mobile cloud computing in the market.
Process of the Work
Development of the cloudlet based mobile cloud computing system for the treatment of
the patients using healthcare applications has been focused. Smart phone applications and the
mobile cloud computing would be integrated (Kollorz et al.,). The Smart phone applications for
treatment of the patients would be implied for forming the Wireless connectivity and network for
forming the sufficient deployment of the processes. The goal of this paper is to develop a
different learning approach for the learners to develop adaptive learning technique, for the
dyslexic students. The system will be able to serve opportunities to the learners (Simpson).
With the help of mobile learning, the learners will be able to learn from their place and
they need not to go to the education center on a daily basis. Server could be accessed by the users
whenever needed. It could serve virtual private server to the users (Hossain, 2017). After

4ANNOTATED BIBLIOGRAPHY ON MOBILE CLOUD COMPUTING
understanding the application properly, the users will be able to go through online
Communication. The automation system could be able to provide accurate and
necessary components to the authors. This important application can
minimize the system level errors. Kuila et al., (2016) commented that sensor
nodes and monitoring approaches could be detected. The security system
can ensure and develop a secured relationship between the server and the
client. The system will be able to provide a lower cost and lower power
system for the consumers (Alizadeh et al., 2016).The solution will be able to
deliver a secured cloud based server to the consumers. The roles of smart
healthcare services are done properly and the heterogeneous system has
done V migration problems.
The machines and equipment would be required for the treatment of
the patients and it would help in integrating the treatment with the wireless
connectivity (Zhu et al., 2016). However, some issues are physical presence is
required, network error would cause the disruption of the process, and issues
would cause disruption in the treatment and monitoring of the patients.
Development of the cloudlet based mobile cloud computing system for the
treatment of the patients using healthcare applications. Smart phone
applications for treatment of the patients (Islam et al., 2017). Smart phone
applications and the mobile cloud computing would be integrated over the
Mobile cloud computing using network structure and it would form the
treatment of the patients. The Smart phone applications for treatment of the

5ANNOTATED BIBLIOGRAPHY ON MOBILE CLOUD COMPUTING
patients would be implied for forming the Wireless connectivity and network
for forming the sufficient deployment of the processes (Liang, 2016).
Feature of the solution
This research paper has successfully provided appropriate model to
the users so that they could efficiently learn from the online community (Lo'ai
et al., 2016). They do not have to consider any other media for communication.
With the massive increment in the mobile technology, the role of mobile
application is increasing rapidly in the education system for both the normal
and disable students. Goal to evaluate the role. Four of the variables are
completely interrelated to each other and none of the components could be
implemented singly without the help of the others (Benmarrakchi et al., 2016)
Considering the advanced technology named as mobile technology,
the disable learners will be able to learn a lot from the mobile environment.
After successful completion of the study with the help of mobile computing
an advanced learning approach could be developed with the portal cloud
server (Alghabban, Salama& Altalhi, 2016). The learners could access the server on
the desired time to learn something new every day. Not only this but also the
learners need not to visit the educational institutes for such learning
approach. The authors collected data from books and journals and developed
survey questions to understand the issues or challenges of traditional
learning so that they could develop the advanced (van Deursen, Ben Allouch &
Ruijter, 2016). Mobile based learning approaches for the disable students.

6ANNOTATED BIBLIOGRAPHY ON MOBILE CLOUD COMPUTING
Hyperactivity disorder for attention deficit is a misbalanced situation for the
learning environment. In order to mitigate the issue, it is necessary to utilize
certain tools and advanced technology. For this particular, study material the
mobile computing is adopted by the learners (Bahari, 2016).
In order to develop a system it is very much necessary to identify the factors
of traditional and current education system for the inventory theory. With the
help of cloud-based system the decision, making errors could be completely
minimized and even resolved (Pee et al., 2016).The users are required to
understand the basics of learning disability and educational environment for
the disable students (Kuila et al., 2016). After the implementation of the system
it is very much necessary to confirm that the system is enough beneficial
from the learning perspectives. After getting confirmation, the innovation
theories could be developed efficiently (Daud & Abas, 2013). The critics of the
research paper have collected primary and secondary data from different
resources and analyzed that information to develop the advanced learning
approach for both of the disable and normal students as well.
If the category is identified appropriately then the development of the
advanced system will becomes much easier from the system approach. After
the identification of traditional approach, only the developers will be able to
deploy the modern cloud based approach for the disable student (UNESCO,
2017). ICT system will help the users to provide an appropriate framework or
design for the dyslexic students (Alghabban, Salama& Altalhi). With cloud system
the SLR phase could be developed. The specific learning disabilities are

7ANNOTATED BIBLIOGRAPHY ON MOBILE CLOUD COMPUTING
completely resolved with the help of the outcome and mobile cloud based
solution evolved by the authors (Elsherif, 2016). Due to lack of learning tools
and technologies, most of the students are facing major challenges (Pang et al.,
2015). In order to mitigate the errors of traditional coursework, mobile-based
cloud computing technology is very much helpful.
Conclusion
The authors have collected data from different resources and took help
from the ICT technologies and tools to develop the education system better
from the dyslexic students. The hybrid applications developed to minimize
the issues of these students are the dependent variable. In this particular
research paper all, the variables are dependent on each other and in order to
develop such hybrid application it is necessary to install all the native
devices to achieve the cross platform adaptability.

8ANNOTATED BIBLIOGRAPHY ON MOBILE CLOUD COMPUTING
References
Alghabban, W. G., Salama, R. M., & Altalhi, A. (2016). Mobile Cloud Computing and M-
Learning: State of Art.
Alghabban, W. G., Salama, R. M., & Altalhi, A. M-Learning: Effective Framework for Dyslexic
Students Based on Mobile Cloud Computing Technology.
Alizadeh, M., Abolfazli, S., Zamani, M., Baharun, S., & Sakurai, K. (2016). Authentication in
mobile cloud computing: A survey. Journal of Network and Computer Applications, 61, 59-80.
Bahari, S. F. S. M. (2016). A Review of Learning Courseware for Children with Learning
Disabilities in Malaysia.
Benmarrakchi, F., El Kafi, J., Elhore, A., & Haie, S. (2016). Exploring the use of the ICT in
supporting dyslexic students’ preferred learning styles: A preliminary evaluation. Education and
Information Technologies, 1-19.
Daud, S. M., & Abas, H. (2013, December). 'Dyslexia Baca'Mobile App--The Learning
Ecosystem for Dyslexic Children. In Advanced Computer Science Applications and
Technologies (ACSAT), 2013 International Conference on(pp. 412-416). IEEE.
E. Kollorz, J. Penne, J. Hornegger and A. Barke, "Gesture recognition with a Time of flight
camera," Int. J. Intell. Syst. Technol. Appl., pp. 334-343, 2008.
Elsherif, T. B., (2016), Towards M-LearningEffective Tool to Improve Education for Dyslexic
Students, International Journal of Engineering and Innovative Technology (IJEIT), 5 (9),pp.1-7
G., Salama, R. M., & Altalhi, A. (2016). Mobile Cloud Computing and M-Learning: State of Art.

9ANNOTATED BIBLIOGRAPHY ON MOBILE CLOUD COMPUTING
Hossain, M. S. (2017). Cloud-supported cyber–physical localization framework for patients
monitoring. IEEE Systems Journal, 11(1), 118-127.http:www.medgadget.com/2013/05/leica-3d-
surgical-microscopes-with-truevision technology.html
Alizadeh, M., Abolfazli, S., Zamani, M., Baharun, S., & Sakurai, K. (Authentication in mobile
cloud computing: A survey. Journal of Network and Computer Applications, 61, 59-80. (2016).
Islam, M. M., Razzaque, M. A., Hassan, M. M., Nagy, W., & Song, B. (2017). Mobile Cloud-
Based Big Healthcare Data Processing in Smart Cities. IEEE Access.
Islam, M. M., Razzaque, M. A., Hassan, M. M., Nagy, W., & Song, B. Mobile Cloud-Based Big
Healthcare Data Processing in Smart Cities. IEEE Access. (2017).
Kuila, S., Shridhar, S., Patel, C., & Iyengar, N. C. S. (2016). Cloud Computing Security by
Using Mobile OTP and an Encryption Algorithm for Hospital Management. Journal of
Computer and Mathematical Sciences, 7(11), 558-565.
Kuila, S., Shridhar, S., Patel, C., & Iyengar, N. C. S. (2016). Cloud Computing Security by
Using Mobile OTP and an Encryption Algorithm for Hospital Management. Journal of Computer
and Mathematical Sciences, 7(11), 558-565
Liang, P. C. (2016). Cost-effective design of real-time home healthcare telemonitoring based on
mobile cloud computing (Doctoral dissertation, University of Surrey (United Kingdom)).
Lo'ai, A. T., Bakhader, W., Mehmood, R., & Song, H. (2016, December). Cloudlet-based Mobile
Cloud Computing for Healthcare Applications. InGlobal Communications Conference
(GLOBECOM), 2016 IEEE (pp. 1-6). IEEE.

10ANNOTATED BIBLIOGRAPHY ON MOBILE CLOUD COMPUTING
National Institute of Neurological Disorders and Stroke, “Dyslexia Information Page,” 2011.
[Online]. Available: http://www.ninds.nih.gov/disorders/dyslexia/dyslexia.htm. [Accessed: 03-
Jul-2015].
Pang, L., Chen, C. J., Teh, C. S., & Anding, P. N. (2015). Online Learning for Individuals with
Dyslexia: A.
Pee, N. C., Leong, P. H., Othman, M. A., Sulaiman, H. A., Othman, M. F. I., & Rahim, Y. A.
(2016). DycScreen—Cross-Platform Dyslexia Screening Test for Malaysian Children Through
Hybrid Applications. In Advanced Computer and Communication Engineering Technology (pp.
1083-1091). Springer, Cham.
R. C. Simpson, "Smart wheelchairs: A literature review," Journal of Rehabilitation Research
andDevelopment, vol. 42, pp. 423-36, 2005.
Unesco (2017). Accessible ICTs and Personalized Learning for Students with Disabilities
Retrieved 17 August 2017, from
http://www.unesco.org/fileadmin/MULTIMEDIA/HQ/CI/CI/pdf/accessible_ict_personalized_lea
rning_2012%20.pdf.
van Deursen, A. J., Ben Allouch, S., & Ruijter, L. P. (2016). Tablet use in primary education:
Adoption hurdles and attitude determinants. Education and information technologies, 21(5), 971-
990.
van Deursen, A. J., Ben Allouch, S., & Ruijter, L. P. (2016). Tablet use in primary education:
Adoption hurdles and attitude determinants. Education and information technologies, 21(5), 971-
990.

11ANNOTATED BIBLIOGRAPHY ON MOBILE CLOUD COMPUTING
Yang, L. T., & Leung, V. C. A novel sensory data processing framework to integrate sensor
networks with mobile cloud. IEEE Systems Journal, 10(3), 1125-1136. (2016).
Zhu, C., Wang, H., Liu, X., Shu, L., Yang, L. T., & Leung, V. C. (2016). A novel sensory data
processing framework to integrate sensor networks with mobile cloud. IEEE Systems
Journal, 10(3), 1125-1136.