Cloud Services for Online Internship Application Program Design

This paper discusses the four most effective cloud services for designing an online cloud-based internship application program: SaaS, PaaS, IaaS, and DaaS. It also covers the use of artifacts, data flow diagrams, entity-relationship diagrams, and use case diagrams in the design process.

Enterprise systems

Methodology
• The objective of this area is to depict the picked approach.
• Thusly, in the papers I have connected an assortment of strategies
relying upon the exploration destinations and settings.
• What's more, four 'hypothetical' fields have been investigated – for
the most part Enterprise Systems explore, data frameworks
advancement and assessment, authoritative viability and
administration of data innovation assets.
• The job of the hypothetical fields has been to give a wide
conceptualization of the wonders and to position the introduced
commitments.
• Antiquity building research or the plan of curios is of consistent
enthusiasm to the data frameworks network, Widmeyer (2016).

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This paper brings into consideration four cloud services that are
considered to be the most effective in the design of the online cloud
based internship application program name;
• Software as a Service (SaaS).
• Platform as a Service (PaaS)
• Infrastructure as a Service (IaaS)
• Data as a Service (DaaS)

Software as a Service (SaaS)
• The system designer will be required to release the application to the
cloud environment hence allowing access by the various clients using
the application through the network.
• Within the SaaS cloud, very many cloud consumers of different
nature are organized together within the environment in a logical
manner within a single layout for the cloud service to really achieve
all the benefits that comes along the economies of scale and ensure;
a) speed optimization,
b) security optimization,
c) availability optimization,
d) disaster recovery and
e) the maintenance optimization.

Platform as a Service (PaaS)
• This is a category of the services provided by the cloud computing
architecture that allows for a platform where a client can develop a
program, run it lively and carrying out the managerial stuff without
any complexity that he or she should have built the infrastructure
typically and maintaining on her own
• At some point the PaaS is considered to be a public cloud service
where the client just controls the deployment of the overall software
with little or less configuration.
• Another instance in which the consumer can benefit from the PaaS is
when it is provided as a service in a private mode which is mostly
realized behind a firewall.

Infrastructure as a Service (IaaS)
• This is a cloud computing service in which the computing resources in
a virtualized mode are provided over the internet.
• The Infrastructure service host all the components required for the
data center.
• Apart from the storage and networking hardware provided, it also
supplies a huge number of services that come along with the
components including log and the monitoring.

Data as a Service (DaaS)
• This is a platform through which data files such as the texts and the
messages are provided and distributed to the clients via an internet
connection.
• The clear business accessibility is witness through the Data as a
Service in ways including making the cost affordable for all the
customers and very effective to the client.
• This is concerned with the high speed internet provision which will
later results in the availability of the services provide to all members
of the society in the whole world hence ensuring active participation.
• DaaS empowers clients to pay for what they are truly using instead of
the site allow for the entire database

Artifacts
• This include tools and activities that were used in transformation of
requirements specifications into implementation. Software analysis
and design is an intermediate stage that help human readable
requirements to be transformed into actual code.
• Anderson (2010), Their investigation offers five totally unrelated
perspectives on innovation, to be a specific instrument, intermediary,
troupe, computational, and ostensible.

Data Flow Diagram• Data Flow Diagram is a representation of the flow or the movement of the
information in an information system graphically.
• This provided the client with an overview of the information system without
necessarily going deep into some other details of the same.
• In a data flow, of importance is how the data in inputted to the system, the way
it is processed and stored and the final end result obtained from the system,
that is the output.
• The design of a DFD requires the understanding of the symbols which have been
standardized plus the annotation that allows one to give a clear description of all
the entities used in the system and how each is related to one another.

Entity-Relationship diagram(ERD)
• In all the domains or the interesting aspects of life, an Entity Relationship Diagram
is used to provide a brief description of all the relationships between entities in a
data model. It is concerned with the database structure of each of the entities used
in the de4sign of a system.
• A great importance of this is the design of a database, the debugging process is
also met well through the use of the Entity Relationship Diagram.
• The framework planner will be required to have a reasonable comprehension of
the Entity Relationship Diagram to have an unmistakable leap forward of the
database association thus driving up with a program that completely meets the
proposed purposes.

Use case diagram
• The design of the cloud based internship program utilized the use of
the This diagram. This is a representation of the interaction between
the user and the overall system.
• It clearly brings out at what instance is a user required to interact or
carry out a given task within the system functionality.
• A system by itself cannot be complete without the actors, the relation
between the activities of the system and the outside personnel is
brought to our understanding with the help of the use case diagrams.

References
Anderson, R. J. (2010). Security engineering: a guide to building
dependable distributed systems. John Wiley & Sons.
Evans, N., & Levinson, S. C. (2009). The myth of language universals:
Language diversity and its importance for cognitive science. Behavioral
and brain sciences, 32(5), 429-448.
Yixin, Q., Gopal, A., & Hann, I. H. (2015). The Role of Platforms in
Reconciling Logic Pluralism? A Study of Indie App Developers on the iOS
Platform.
Wieser, K. G. (2017). Back to the Blanket: Recovered Rhetorics and
Literacies in American Indian Studies (Vol. 70). University of Oklahoma
Press.

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Jeon, S., & Luley, C. Y. (2018). WHAT INFLUENCES ENTREPRENEURIAL
INTENTIONS? AN EMPIRICAL STUDY USING DATA FROM THE GLOBAL
ENTREPRENEURSHIP MONITOR. Academy of Entrepreneurship
Journal, 24(3).

Thank you