Impact of Cloud Computing on Component Based Design Literature Review 2022
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Running head: IMPACT OF CLOUD COMPUTING ON COMPONENT BASED DESIGN
IMPACT OF CLOUD COMPUTING ON COMPONENT BASED
DESIGN
Name of the Student
Name of the University
Author Note:
IMPACT OF CLOUD COMPUTING ON COMPONENT BASED
DESIGN
Name of the Student
Name of the University
Author Note:
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1IMPACT OF CLOUD COMPUTING ON COMPONENT BASED DESIGN
Literature Review
As stated by [5], cloud computing merely helps in proper abstraction design for IT
resources for interfaces. It mainly focus on scalability and dynamic allocation of resources. The
boundary of the cloud is just outside the application and hardware for the host. For some of the
end-user, a web application is merely deployed on cloud so that it can be differentiated into
deployment of web application standalone server. This particular model works in fine way with
different web application but fail to satisfy the need of distributed application which have
components. It can be executed on both local server and remote server by making use of non-
local server. A major aspect of cloud computing is web application which is being used by end
user for abstracting away from the different elastic sources. This two aspects aim to occur on the
cloud platform and migrate the overall computation and storage task which exists in between
various distributed network [10]. It merely occurs without any experience of the user for
experiencing disruption. With the development of web 2.0, web application aims to replace some
of classic fat PC application due to increase in popularity. It has given rise to some of the highly
complex web browser which require plugins and extension for dynamic support and user
interfaces. This kind of user interfaces is considered to be a part of fat application without any
kind of complexity. Due to the increase in the complexity of web browser it can be tied back for
a rise in overall security-related incidents for web browser functionality.
According to [2], the overall concept of cloud computing is all about encompassing the
server farm resources but also the available resources. It merely brings various kind resources to
home PC and different devices into cloud along with its deployment. The highly distributed data
component is completely based on flat interface of user. It mere promotes the use of internet of
the platform. The organization aims to compare its standard data along with benefits of fat client
Literature Review
As stated by [5], cloud computing merely helps in proper abstraction design for IT
resources for interfaces. It mainly focus on scalability and dynamic allocation of resources. The
boundary of the cloud is just outside the application and hardware for the host. For some of the
end-user, a web application is merely deployed on cloud so that it can be differentiated into
deployment of web application standalone server. This particular model works in fine way with
different web application but fail to satisfy the need of distributed application which have
components. It can be executed on both local server and remote server by making use of non-
local server. A major aspect of cloud computing is web application which is being used by end
user for abstracting away from the different elastic sources. This two aspects aim to occur on the
cloud platform and migrate the overall computation and storage task which exists in between
various distributed network [10]. It merely occurs without any experience of the user for
experiencing disruption. With the development of web 2.0, web application aims to replace some
of classic fat PC application due to increase in popularity. It has given rise to some of the highly
complex web browser which require plugins and extension for dynamic support and user
interfaces. This kind of user interfaces is considered to be a part of fat application without any
kind of complexity. Due to the increase in the complexity of web browser it can be tied back for
a rise in overall security-related incidents for web browser functionality.
According to [2], the overall concept of cloud computing is all about encompassing the
server farm resources but also the available resources. It merely brings various kind resources to
home PC and different devices into cloud along with its deployment. The highly distributed data
component is completely based on flat interface of user. It mere promotes the use of internet of
the platform. The organization aims to compare its standard data along with benefits of fat client
2IMPACT OF CLOUD COMPUTING ON COMPONENT BASED DESIGN
components. The research aims to provide an idea with respect to expansion of cloud for not
only server but also for different available resources to user [6]. User interface does not come
into picture for the application deployment on cloud. There is need of fat-client component
which is needed for complete migration and support for user interface. The component aims to
communicate back to other associated components that are deployed on cloud platform. It is
needed for providing a certain number of application features like data storage and function for
computing. Cloud pattern are defined as reusable and recurring design issue, is the defined best
practice needed for guiding developer at the time of cloud based application. There are many
pattern which can be improving the current design pattern that can improve the overall QoS for
cloud based system. Design pattern aims to describe common issue and aims to provide the right
solution [16]. The organization have patterned certain documents which require generic solution
for template format. An investigation has been done with respect to design pattern which can
have to compile effect on the overall energy consumption for cloud based architecture. Various
developers around the globe can take advantages of certain software tool which is needed for
monitoring resources.
As per [11], there are many developers who can take advantage of software tools which
can be used for monitoring different resources for consumption of energy. It comes up with
certain number of programming guidelines which can be followed in the design phase of the
application. It can follow be followed in the design phase of the application. There are many
ongoing efforts for improving the energy efficiency for different hardware based components. It
lacks certain number of software process where developer can follow certain number of methods
for minimizing the consumed energy by using the application. There are two level of software
development process which is completely based on agile principles [9]. It is claimed to be
components. The research aims to provide an idea with respect to expansion of cloud for not
only server but also for different available resources to user [6]. User interface does not come
into picture for the application deployment on cloud. There is need of fat-client component
which is needed for complete migration and support for user interface. The component aims to
communicate back to other associated components that are deployed on cloud platform. It is
needed for providing a certain number of application features like data storage and function for
computing. Cloud pattern are defined as reusable and recurring design issue, is the defined best
practice needed for guiding developer at the time of cloud based application. There are many
pattern which can be improving the current design pattern that can improve the overall QoS for
cloud based system. Design pattern aims to describe common issue and aims to provide the right
solution [16]. The organization have patterned certain documents which require generic solution
for template format. An investigation has been done with respect to design pattern which can
have to compile effect on the overall energy consumption for cloud based architecture. Various
developers around the globe can take advantages of certain software tool which is needed for
monitoring resources.
As per [11], there are many developers who can take advantage of software tools which
can be used for monitoring different resources for consumption of energy. It comes up with
certain number of programming guidelines which can be followed in the design phase of the
application. It can follow be followed in the design phase of the application. There are many
ongoing efforts for improving the energy efficiency for different hardware based components. It
lacks certain number of software process where developer can follow certain number of methods
for minimizing the consumed energy by using the application. There are two level of software
development process which is completely based on agile principles [9]. It is claimed to be
3IMPACT OF CLOUD COMPUTING ON COMPONENT BASED DESIGN
environmental sustainable in nature. Each of the software stage comes up with some specific
metric which highlights the level of sustainability. This particular process will help in reducing
the overall energy consumption for development life cycle. It does not only improve the energy
efficiency of the application. In addition, the web browser technology which is a server client
technology where content is authenticated by user on request and executed by client. Security is
being added for design. Internet and web browser are designed for securing from the ground [3].
There is need of acquiring more task in web 2.0 and the issues are found to be much worse.
According to [15], a system has been proposed which aims to drive the current web
application which is as per the design and suggestion for deployment of component based
application system. The author highlights a new kind of design which is required for deploying
application on the internet platform. By making use of design application for component-based
system, it can be distributed on the platform for overall execution. An example can be composed
for user interface for component and stored data on cloud. By analysis of cloud for different
computing resources which are available for user for stored data on cloud [12]. The whole idea
of cloud computing aims to encompass different kind of resources for different user which have
data storage component. It is needed for execution of the thing in the cloud environment. It can
be executed within the cloud environment. An execution environment will help the data storage
component for migrating to remote server if offered for management storage. The component of
user-interface can easily migrated between the different resources. There is proper runtime
extraction for user interface for migrating the user desktop for their mobile devices without any
losing date. It comes up with ability for storing data on local and remote platform which help in
addressing in different issues [14]. Some of distributed system are built on middleware layers
and virtual machine. The main notion of implementing requirement enhancement at operating
environmental sustainable in nature. Each of the software stage comes up with some specific
metric which highlights the level of sustainability. This particular process will help in reducing
the overall energy consumption for development life cycle. It does not only improve the energy
efficiency of the application. In addition, the web browser technology which is a server client
technology where content is authenticated by user on request and executed by client. Security is
being added for design. Internet and web browser are designed for securing from the ground [3].
There is need of acquiring more task in web 2.0 and the issues are found to be much worse.
According to [15], a system has been proposed which aims to drive the current web
application which is as per the design and suggestion for deployment of component based
application system. The author highlights a new kind of design which is required for deploying
application on the internet platform. By making use of design application for component-based
system, it can be distributed on the platform for overall execution. An example can be composed
for user interface for component and stored data on cloud. By analysis of cloud for different
computing resources which are available for user for stored data on cloud [12]. The whole idea
of cloud computing aims to encompass different kind of resources for different user which have
data storage component. It is needed for execution of the thing in the cloud environment. It can
be executed within the cloud environment. An execution environment will help the data storage
component for migrating to remote server if offered for management storage. The component of
user-interface can easily migrated between the different resources. There is proper runtime
extraction for user interface for migrating the user desktop for their mobile devices without any
losing date. It comes up with ability for storing data on local and remote platform which help in
addressing in different issues [14]. Some of distributed system are built on middleware layers
and virtual machine. The main notion of implementing requirement enhancement at operating
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4IMPACT OF CLOUD COMPUTING ON COMPONENT BASED DESIGN
level. Document API aims to leave the specific implementation for vendor of operating system.
By using a byte style vendor, code execution is possible on different layer of hardware.
Research Methodology
Introduction
Research methodology is a chapter is which defines the best approach which is required
for attaining the overall detail of process [8]. Certain number of theories and concepts are
adopted in the research methodology so that there can be better analysis of the research topic that
is impact of cloud computing on component-based design.
Overview of Method
In this part, all the details of techniques used in research has been discussed like analysis
of cloud computing on component design. The selected approach is found to positivism that
helps in gaining information considering the logic and evaluation. Deductive approach is very
much helpful for researcher for conducting study based on research secondary sources that will
help in analysing the role of cloud computing in designing components [4]. Descriptive design is
needed by researcher for defining used concepts in detail way. It merely helps in properly
defining the research of the topic for doing much better analysis.
Research onion
This is a well-known tool of methodology which helps in listing the key division which
helps in successful ability over the given topic. This tool is very much helpful for various
academic student so that research can be conducted in proper way. It is very much helpful in
analysing each step that helps in deriving proper result of process of research [1]. This tool is
beneficial in analysing each and every stage of research technique so that better research can be
level. Document API aims to leave the specific implementation for vendor of operating system.
By using a byte style vendor, code execution is possible on different layer of hardware.
Research Methodology
Introduction
Research methodology is a chapter is which defines the best approach which is required
for attaining the overall detail of process [8]. Certain number of theories and concepts are
adopted in the research methodology so that there can be better analysis of the research topic that
is impact of cloud computing on component-based design.
Overview of Method
In this part, all the details of techniques used in research has been discussed like analysis
of cloud computing on component design. The selected approach is found to positivism that
helps in gaining information considering the logic and evaluation. Deductive approach is very
much helpful for researcher for conducting study based on research secondary sources that will
help in analysing the role of cloud computing in designing components [4]. Descriptive design is
needed by researcher for defining used concepts in detail way. It merely helps in properly
defining the research of the topic for doing much better analysis.
Research onion
This is a well-known tool of methodology which helps in listing the key division which
helps in successful ability over the given topic. This tool is very much helpful for various
academic student so that research can be conducted in proper way. It is very much helpful in
analysing each step that helps in deriving proper result of process of research [1]. This tool is
beneficial in analysing each and every stage of research technique so that better research can be
5IMPACT OF CLOUD COMPUTING ON COMPONENT BASED DESIGN
done in better way. Researcher can follow each of the layer of research onion so that a proper
procedure is adopted in the given research procedure.
Research Philosophy
In this method, proper application of research philosophy is helpful in analysing the
details of research topic. It helps in analysing certain process which are taken for research on this
topic. A subject of philosophy known as positivism is helpful in applying certain logic for
analysing hidden facts and information in proper way [7]. In most of the cases, it is dominated in
scientific way as positivism aims to reject metaphysics so that the detail information and
collection of knowledge is enabled. There is a mixed approach known as realism, mixture of that
is positivism and interpretative which has properties of both philosophies. This particular
approach for human belief is very much helpful in analysing the study with human beings.
Justification for selected philosophy
In this research, positivism is being applied which help in better understanding of all the
hidden facts and details of cloud computing on designing components [8]. The overall nature of
study is limited within the time interval so that it is being discarded being the choice of
philosophy.
Approach of research
An approach for study is the topic which is provided in required format for conducting
the overall study. Research topic is completely undertaken in two methods that is deductive and
inductive. Inductive method is used when the research topic does not have enough data. The
beginning stage of inductive approach is all about observation that helps in gaining required
information and builds a pathway for research [4]. On the other hand, deductive approach is a
method that describes some of the practical use of studied theory. It is needed for gaining access
done in better way. Researcher can follow each of the layer of research onion so that a proper
procedure is adopted in the given research procedure.
Research Philosophy
In this method, proper application of research philosophy is helpful in analysing the
details of research topic. It helps in analysing certain process which are taken for research on this
topic. A subject of philosophy known as positivism is helpful in applying certain logic for
analysing hidden facts and information in proper way [7]. In most of the cases, it is dominated in
scientific way as positivism aims to reject metaphysics so that the detail information and
collection of knowledge is enabled. There is a mixed approach known as realism, mixture of that
is positivism and interpretative which has properties of both philosophies. This particular
approach for human belief is very much helpful in analysing the study with human beings.
Justification for selected philosophy
In this research, positivism is being applied which help in better understanding of all the
hidden facts and details of cloud computing on designing components [8]. The overall nature of
study is limited within the time interval so that it is being discarded being the choice of
philosophy.
Approach of research
An approach for study is the topic which is provided in required format for conducting
the overall study. Research topic is completely undertaken in two methods that is deductive and
inductive. Inductive method is used when the research topic does not have enough data. The
beginning stage of inductive approach is all about observation that helps in gaining required
information and builds a pathway for research [4]. On the other hand, deductive approach is a
method that describes some of the practical use of studied theory. It is needed for gaining access
6IMPACT OF CLOUD COMPUTING ON COMPONENT BASED DESIGN
to the overall content of the research paper. The approach aims to build a proper theory with
certain specification and idea which is needed for data analysis. Based on the study of nature and
topic of research, the approach of research is found to be helpful in analysis of the given topic.
Reason for selected approach
In this research, topic which is being studied in the effect of cloud computing on
component-based design. The overall decision making is done by the help of theoretical
knowledge [2]. Use of cloud computing for component-based design require an approach for
selection which help in understanding in proper way.
Research design
It merely helps in providing proper explanation for the framework of the given research
topic which is needed for selection and collection of pattern analysis. In this stage of data
collection, a proper approach is being applied for highlighting the design of research [7]. There
are mainly three kind of research design like explanatory, exploratory and lastly descriptive.
The exploratory design helps the researcher in analysing certain thoughts and ideas which
is needed for completing the research. On the contrary, explanatory aims to highlight the incident
and events for analysing what is happening. Descriptive approach is help in certain details for
state occurrence for events with details and required description.
Justification for selected design
Explanatory approach was avoided in this particular topic as it requires concept for
longitudinal study [13]. Descriptive design has the ability to define the detail process which are
involved in analysing cloud computing for component design.
Process of data collection
to the overall content of the research paper. The approach aims to build a proper theory with
certain specification and idea which is needed for data analysis. Based on the study of nature and
topic of research, the approach of research is found to be helpful in analysis of the given topic.
Reason for selected approach
In this research, topic which is being studied in the effect of cloud computing on
component-based design. The overall decision making is done by the help of theoretical
knowledge [2]. Use of cloud computing for component-based design require an approach for
selection which help in understanding in proper way.
Research design
It merely helps in providing proper explanation for the framework of the given research
topic which is needed for selection and collection of pattern analysis. In this stage of data
collection, a proper approach is being applied for highlighting the design of research [7]. There
are mainly three kind of research design like explanatory, exploratory and lastly descriptive.
The exploratory design helps the researcher in analysing certain thoughts and ideas which
is needed for completing the research. On the contrary, explanatory aims to highlight the incident
and events for analysing what is happening. Descriptive approach is help in certain details for
state occurrence for events with details and required description.
Justification for selected design
Explanatory approach was avoided in this particular topic as it requires concept for
longitudinal study [13]. Descriptive design has the ability to define the detail process which are
involved in analysing cloud computing for component design.
Process of data collection
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7IMPACT OF CLOUD COMPUTING ON COMPONENT BASED DESIGN
The source of data collection is secondary in this case which helps in gaining details of
the research topic. If secondary data sources are being used, then it helps in enhancing the
research topic so that it can be studied in much better way. It merely requires involvement of
much more data and description [16]. Different data sources are considered to be output of
information on this particular topic by making use of secondary sources. There are certain
number of tools which is inclusive of online and offline like website, journal and blogs related to
this topic.
For this research, qualitative data is being used as it is recorded in narrative form which
helps in understanding the overall description of the topic in research. The data is very much
helpful for adding certain theoretical concepts. This procedure helps in better analysis of the data
in the descriptive form.
Ethical consideration
In this method of data collection, a researcher need to follow a proper code of conduct
that helps in analysing in between right and wrong set of behaviours. It is merely adopted in
these process [6]. The research for impact of cloud computing on component design is very
much helpful for following certain ethical consideration which can help in adding
standardization to research topic.
The source of data collection is secondary in this case which helps in gaining details of
the research topic. If secondary data sources are being used, then it helps in enhancing the
research topic so that it can be studied in much better way. It merely requires involvement of
much more data and description [16]. Different data sources are considered to be output of
information on this particular topic by making use of secondary sources. There are certain
number of tools which is inclusive of online and offline like website, journal and blogs related to
this topic.
For this research, qualitative data is being used as it is recorded in narrative form which
helps in understanding the overall description of the topic in research. The data is very much
helpful for adding certain theoretical concepts. This procedure helps in better analysis of the data
in the descriptive form.
Ethical consideration
In this method of data collection, a researcher need to follow a proper code of conduct
that helps in analysing in between right and wrong set of behaviours. It is merely adopted in
these process [6]. The research for impact of cloud computing on component design is very
much helpful for following certain ethical consideration which can help in adding
standardization to research topic.
8IMPACT OF CLOUD COMPUTING ON COMPONENT BASED DESIGN
References
[1] F., Paraiso, P. Merle, and L., Seinturier. soCloud: a service-oriented component-based PaaS
for managing portability, provisioning, elasticity, and high availability across multiple
clouds. Computing, 98(5), pp.539-565.
[2] D., Wu, D.W., Rosen, L. Wang, and D., Schaefer, 2015. Cloud-based design and
manufacturing: A new paradigm in digital manufacturing and design innovation. Computer-
Aided Design, 59, pp.1-14.
[3] V., Chang, M., Ramachandran, Y., Yao, Y.H. Kuo, and C.S., Li. A resiliency framework for
an enterprise cloud. International Journal of Information Management, 36(1), pp.155-166, 2016.
[4] R. Jhawar, and V., Piuri. Fault tolerance and resilience in cloud computing environments.
In Computer and information security handbook (pp. 165-181). Morgan Kaufmann, 2017.
[5] C., Borcea, X., Ding, N., Gehani, R., Curtmola, M.A. Khan, and H., Debnath. Avatar: Mobile
distributed computing in the cloud. In 2015 3rd IEEE International Conference on Mobile Cloud
Computing, Services, and Engineering (pp. 151-156). IEEE, 2015, March.
[6] T., Vale, I., Crnkovic, E.S., De Almeida, P.A.D.M.S.,Neto, Y.C. Cavalcanti, and S.R., de
Lemos Meira. Twenty-eight years of component-based software engineering. Journal of Systems
and Software, 111, pp.128-148, 2016.
[7] Wu, Y., He, F., Zhang, D. and Li, X., 2015. Service-oriented feature-based data exchange for
cloud-based design and manufacturing. IEEE Transactions on services computing, 11(2),
pp.341-353.
[8] L.Thames, and D., Schaefer. Software-defined cloud manufacturing for industry
4.0. Procedia cirp, 52, pp.12-17, 2016.
References
[1] F., Paraiso, P. Merle, and L., Seinturier. soCloud: a service-oriented component-based PaaS
for managing portability, provisioning, elasticity, and high availability across multiple
clouds. Computing, 98(5), pp.539-565.
[2] D., Wu, D.W., Rosen, L. Wang, and D., Schaefer, 2015. Cloud-based design and
manufacturing: A new paradigm in digital manufacturing and design innovation. Computer-
Aided Design, 59, pp.1-14.
[3] V., Chang, M., Ramachandran, Y., Yao, Y.H. Kuo, and C.S., Li. A resiliency framework for
an enterprise cloud. International Journal of Information Management, 36(1), pp.155-166, 2016.
[4] R. Jhawar, and V., Piuri. Fault tolerance and resilience in cloud computing environments.
In Computer and information security handbook (pp. 165-181). Morgan Kaufmann, 2017.
[5] C., Borcea, X., Ding, N., Gehani, R., Curtmola, M.A. Khan, and H., Debnath. Avatar: Mobile
distributed computing in the cloud. In 2015 3rd IEEE International Conference on Mobile Cloud
Computing, Services, and Engineering (pp. 151-156). IEEE, 2015, March.
[6] T., Vale, I., Crnkovic, E.S., De Almeida, P.A.D.M.S.,Neto, Y.C. Cavalcanti, and S.R., de
Lemos Meira. Twenty-eight years of component-based software engineering. Journal of Systems
and Software, 111, pp.128-148, 2016.
[7] Wu, Y., He, F., Zhang, D. and Li, X., 2015. Service-oriented feature-based data exchange for
cloud-based design and manufacturing. IEEE Transactions on services computing, 11(2),
pp.341-353.
[8] L.Thames, and D., Schaefer. Software-defined cloud manufacturing for industry
4.0. Procedia cirp, 52, pp.12-17, 2016.
9IMPACT OF CLOUD COMPUTING ON COMPONENT BASED DESIGN
[9] N., Kratzke. About microservices, containers and their underestimated impact on network
performance. arXiv preprint arXiv:1710.04049, 2017.
[10] G., Guerrero-Contreras, J.L., Garrido, S. Balderas-Diaz, and C., RodrÃguez-DomÃnguez. A
context-aware architecture supporting service availability in mobile cloud computing. IEEE
Transactions on Services Computing, 10(6), pp.956-968, 2016.
[11] M., Bortolini, E., Ferrari, M., Gamberi, F. Pilati, and M., Faccio. Assembly system design in
the Industry 4.0 era: a general framework. IFAC-PapersOnLine, 50(1), pp.5700-5705, 2017.
[12] F. De la Prieta, and J.M., Corchado. Cloud computing and multiagent systems, a promising
relationship. In Intelligent Agents in Data-intensive Computing (pp. 143-161). Springer, Cham,
2016.
[13]A., Darwish, A.E., Hassanien, M., Elhoseny, A.K. Sangaiah, and K., Muhammad. The
impact of the hybrid platform of internet of things and cloud computing on healthcare systems:
Opportunities, challenges, and open problems. Journal of Ambient Intelligence and Humanized
Computing, pp.1-16, 2017.
[14] G. Adzic, and R.,Chatley. Serverless computing: economic and architectural impact.
In Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering (pp.
884-889). ACM, 2017, August.
[15 G., Orsini, D. Bade, and W., Lamersdorf. Computing at the mobile edge: Designing elastic
android applications for computation offloading. In 2015 8th IFIP Wireless and Mobile
Networking Conference (WMNC) (pp. 112-119). IEEE, 2015, October.
[16] P.K., Sharma, M.Y. Chen, and J.H., Park. A software defined fog node based distributed
blockchain cloud architecture for IoT. IEEE Access, 6, pp.115-124, 2017.
[9] N., Kratzke. About microservices, containers and their underestimated impact on network
performance. arXiv preprint arXiv:1710.04049, 2017.
[10] G., Guerrero-Contreras, J.L., Garrido, S. Balderas-Diaz, and C., RodrÃguez-DomÃnguez. A
context-aware architecture supporting service availability in mobile cloud computing. IEEE
Transactions on Services Computing, 10(6), pp.956-968, 2016.
[11] M., Bortolini, E., Ferrari, M., Gamberi, F. Pilati, and M., Faccio. Assembly system design in
the Industry 4.0 era: a general framework. IFAC-PapersOnLine, 50(1), pp.5700-5705, 2017.
[12] F. De la Prieta, and J.M., Corchado. Cloud computing and multiagent systems, a promising
relationship. In Intelligent Agents in Data-intensive Computing (pp. 143-161). Springer, Cham,
2016.
[13]A., Darwish, A.E., Hassanien, M., Elhoseny, A.K. Sangaiah, and K., Muhammad. The
impact of the hybrid platform of internet of things and cloud computing on healthcare systems:
Opportunities, challenges, and open problems. Journal of Ambient Intelligence and Humanized
Computing, pp.1-16, 2017.
[14] G. Adzic, and R.,Chatley. Serverless computing: economic and architectural impact.
In Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering (pp.
884-889). ACM, 2017, August.
[15 G., Orsini, D. Bade, and W., Lamersdorf. Computing at the mobile edge: Designing elastic
android applications for computation offloading. In 2015 8th IFIP Wireless and Mobile
Networking Conference (WMNC) (pp. 112-119). IEEE, 2015, October.
[16] P.K., Sharma, M.Y. Chen, and J.H., Park. A software defined fog node based distributed
blockchain cloud architecture for IoT. IEEE Access, 6, pp.115-124, 2017.
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