Cloud Computing for Smart Application

This report compares cloud providers for PaaS, specifically Amazon Web Services and Bluemix. It discusses the quality of design, difficulty level, costing model, and more. The report also includes a step-by-step process for creating a simple web page using IBM Cloud.

Running head: CLOUD COMPUTING FOR SMART APPLICATION
CLOUD COMPUTING FOR SMART APPLICATION
Name of the Student
Name of the University
Author Note

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Table of Contents
Introduction................................................................................................................................3
Cloud service provider...............................................................................................................3
Cloud provider offering PaaS.................................................................................................3
Reason of selection of comparison........................................................................................4
Comparison................................................................................................................................4
Service provider.....................................................................................................................5
Quality of design and navigation...........................................................................................5
Process....................................................................................................................................6
Difficulty level.....................................................................................................................11
Costing model......................................................................................................................12
Managing..............................................................................................................................13
Allocation and up gradation.................................................................................................13
Opinion.....................................................................................................................................14
Better Performance...............................................................................................................14
Improvement area.................................................................................................................14
Conclusion................................................................................................................................14
References................................................................................................................................15

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Introduction
The cloud can be one of the most innovating sector when related to the modern
technology. There are different architectures, which exist in the concept of the cloud such as
the platform as a service, cloud as service and infrastructure as a service. This infrastructure
can be used according to the requirement of the user. On the other hand, the user or the
customer would have to pay according to the usage of the service they have some. The
concept of application development is made much faster with the implementation of the
process rather than the traditional processes.
The main consideration, which is taken into the report, is the concept of platform as a
service. The main differentiator factor between the bluemix and the cloud provider are
justified using the concept.
Cloud service provider
Cloud provider offering PaaS
The platform as a service is used in the concept of developing, maintaining and testing
operating system, servers, networks, virtual machine and many more based on rental. Some
of the cloud providers who offered the service related to PaaS are stated below:
 Microsoft Azure
 Amazon web service
 IBM cloud
 SAP
 Oracle cloud
 Adobe
 Red hat

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Reason of selection of comparison
The cloud provider, which is chosen for the purpose of comparison, is the Amazon
web service.
Justification 1: This is due to the factor that the AWS is a provider of Platform as service
approach and can be differenced with the Bluemix with the aspect of the operation, which is
involved into the concept.
Justification: The model can be directly be implemented and working of the model is less
complicated.
Comparison
The bluemix and the Amazon web service both are cloud-computing parts but they
have different roles to play. It would be directly dependent on the requirement, which one has
to implement. Bluemix can be implemented in the form of experimental, which are used in
the laboratory or for the people who are working on the same project but at a far distance
from each other. As the concept of the bluemix is a software, which is an open source
software, primary users can easily use it. The concept of Hub can be considered as a good
option taking into consideration the developers in order to synchronize the code from a
distance and test it directly.
On the other hand, it can be stated that amazon Web service can be considered vital in
the form of a professional approach. The concept directly gives sufficient amount of
flexibility for service, which are accurate for the users who are actually involved in some sort
of business orientation. The Amazon web service can be used by means of decreasing and
increasing the requirement according to the run time environment and charge would be
applicable according to the requirement. Most of the startup organization who cannot effort
the concept go for the basic version which is available in the market. Ones starting with the

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service the different aspects, which are related to the concept, can also be increased. The
amazon web service can be stated as a smooth entry point and exit point for the business
developers.
Service provider
The platform as service can be applied to any field, which can be related to
deployment of application. The different concepts for example internet of things, Artificial
intelligence can be deployed in the level of professional expertise using the concept of PaaS.
The PaaS model can be stated to be used for the concept of software development and the
concept of monetization of the new application. The PaaS helps in the bypassing the concept
of investment and the sector of maintenance (Krancher, Luther and Jost 2018).
Quality of design and navigation
The following aspects can relate the quality of the design:
 All the application and the platform are contained in one of the environment, which is
owned by one vendor.
 The application are developed mostly from scratch within the formalized model of
programming.
 The service (for example, web application, database) provided by the vendors are stable
and common.
 When designing the whole service, which is related to the cloud, the business model roles
are very much stable at the initial phases.
 There is no service, which is industry specific or application in the platform so that the
platform is easy to manage and design (Ojala and Helander 2014).
Relating to the quality of the design the following aspects can be stated:

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 Hybrid and private cloud: This type of industry solution are always hosted in the sector
public cloud within the enterprise, which is shared by more than one sector of the
organization unit.
 Openness: the concept of integration with the existing external and internal system can be
done.
 Industry specific IT application, standard and service (Ananthakrishnan et al. 2017).
 Uncertainty of the sector of role and business model involved: Industry specific user
group with diverse user behavior system and model and usage pattern for example curve
of the system workload, type of requirement of the resources and the capacity of the
system.
 User types and various application: An entire solution which can be related to industrial
sector which contains application across the multiple business lines and owned by
different user groups (organization user or individual user).
Process
Step 1: creation of a tool chain for the new application.
 Login to IBM Cloud
 Navigate to the DevOps dashboard
 Click on create a tool chain
 Select the develop a cloud foundary app tool chain

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Figure 1
 On the page of the toolchain enter a name of toolchain
Figure 2
 For the issue tracking tool integration select on the Repository type of new and enter a
name of the new repo

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Figure 3
 Click create. This would directly open the toolchain overview page

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Figure 4
Step 2: Creation of a simple web page
After the toolcahin is created the time of coding can be achieved.
 On the toolchain overview page click on the eclipse orion web IDE. Then the IDE
would open
 In the Web IDE select file>new>file
 In the editor page type the following code which is stated below
<html>
<body>
Hello, IBM cloud world!
</body>
</html>
 The screen shot after the code is entered would be like below

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Figure 5
Step 3: creation of manifest
A manifest can be considered as a file which tells the IBM cloud how to deploy the
application. The steps to created the manifest are stated below:
 --------------
 Application:
 - build: https://github.com/cloud/cloudfoundry/stati
 Host: simple- website -${random}
 Name: simple – website - ${random}
 Memory: 64 M
 Stack: cflinuxfs2
Note: The host would be the URL of the application.
Step 4: deploy and open
After the above steps the webpage and a manifest would be created at the workspace
and ready to be deployed. The steps for deployment are stated below:
 In the IDE click on the deploy button
 When the application is deployed open the any web browser by clicking on the Open
the application URL button

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 The running window would be opened in a new window (Breidbach, Chandler and
Maglio 2015).
Figure 6
Difficulty level
Difficulty 1: service enabling the infrastructure
The service, which enables the concept of the Infrastructure, is very much needed to
automate and orchestrate ultimately operational processes and task respectively. Enablement
of the Service can be considered as one of the challenges due to the factor that there is lack of
standardization with the demesne infrastructure (Kientopf et al. 2017).
Difficulty 2: integration with the orchestration engine and provisioning
Achieving the true elastic requires connect of orchestration of the multiple
components with the data center. Decommissioning and provisioning instance is important in
the concept but the first step in a much more comprehensive process mainly involve load
balancing, optimization, acceleratioin, security and components related to networking across
the infrastructure.
Difficulty 3: codifying deployment policies
When the goal of the organization is related to IT as a service, the concept of
transition to the architecture, which is hybrid or operational consistency, the codification of
the reusable policies are necessary.

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Difficulty 4: inter cloud architecture
Designing of then private cloud with the motive of the maintaining and deploying to
the hybrid architecture can be threatening. The concept of the hybrid cloud may demand the
changes to the data of the center architecture in order to house the specific inter cloud needs
and the requirement at a later phase.
Difficulty 5: operational consistency
As a part of the hybrid or private cloud maintenance and the implementation of the
concept of consistency in the processes of operation is very much critical in order to realize
the benefit of the cloud-based model. When the operation is required to be manage the local
resources via the aspect of one methodology and the cloud deployment, resources it can be
hard to manage this type of aspects.
Costing model
There are five most common managed service providers, which are stated below:
 Per device monitoring: this can be considered as a true and tried model and 41 per cent of
the managed service providers report are using per device monitoring pricing. Within
these model customers are billed a flat fee for the aspect of monitoring of specific devices
such as the mobile device and desktop device.
 Per user monitoring: paying per user can be a great advantage for the employee who are
directly using multiple devices. It can be considered as a very simple technique which is
related to the service level agreement that directly require 24/7 support.
 Tiered pricing: this approach can be considered to putting burden on the concept of the
managed service provider. The main problem, which can be related to the concept, is that

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the lowest tier is not considered to one of the best models and on the other hand, the
highest tier model may not be reaching the full expectation of the client.
 Value based pricing: the concept of the value can be referred to as a cake pricing this
option provides a coverage to all the services instead of individual components. The
concept can be considered very much important model for the managed service provider
since it directly provides a comprehensive service.
 Security and cloud services: more than 30 percent of the Managed service provider and
the services, which are related to the security, see the concept as a major growth taking
into consideration the business.
Managing
Allocation and up gradation
The allocation and the up gradation in the concept of the cloud computing can be
done through the concept of Database. The allocation concept can also be applied to the
concept. The calibration process, which is related to the database, is done manually. This type
of manual calibration can be considered to be complex and time consuming this is due to the
factor ta every time the database would be running on a different architecture would be
involving time into the concept. In order to make the process of allocation and up gradation
more fast the Greedy particle swarm optimization (GPSO) search algorithm has been
proposed instead to the existing greedy algorithm to prevent the local optimum state from
tapping the process of the search from reaching the global optimum.
Opinion
Better Performance
The service provider, which is better in comparison of the two, which are discussed
above the Bluemix, can be considered as a better option. This is due to the factor that it is an

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open source software, which can be used by anyone, and implementation of the software can
be done quite easily. The model can be considered to be one of the basic model which can be
easily be used even in the school level for the aspect of learning and gaining knowledge about
the concept of the cloud.
Improvement area
Bluemix: The service, which is related to the bluemix, can be considered as one of the basic
model. The model should accompany some of the features, which would be used in the
higher implementation processes.
Amazon web service: The service, which is related to the Amazon web service, should have
some of the basic level of operation, which would be easy to handle from the point of view of
the beginners.
Conclusion
The report can be concluded on a note that the concept of cloud computing would be
playing a role in the near future and different improvement areas would be involved into the
concept. The main finding from the report can be stated that different services, which are
related to the cloud, have different aspects related to it. In most of the cases organization
implement the services according to the requirement and gain benefit from the concept.

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References
Ananthakrishnan, R., Chard, K., Foster, I. and Tuecke, S., 2015. Globus platform‐as‐a‐
service for collaborative science applications. Concurrency and Computation: Practice and
Experience, 27(2), pp.290-305.
Breidbach, C.F., Chandler, J.D. and Maglio, P.P., 2015, January. The duality of second
screens: A phenomenological study of multi-platform engagement and service experiences.
In System Sciences (HICSS), 2015 48th Hawaii International Conference on (pp. 1432-1441).
IEEE.
Chard, K., Foster, I. and Tuecke, S., 2017, July. Globus: Research data management as
service and platform. In Proceedings of the Practice and Experience in Advanced Research
Computing 2017 on Sustainability, Success and Impact (p. 26). ACM.
Devi, T. and Ganesan, R., 2015. Platform-as-a-Service (PaaS): Model and Security Issues.
International Journal of Advances in Applied Sciences, 4(1), pp.13-23.
Kientopf, K., Raza, S., Lansing, S. and Güneş, M., 2017, October. Service management
platform to support service migrations for IoT smart city applications. In Personal, Indoor,
and Mobile Radio Communications (PIMRC), 2017 IEEE 28th Annual International
Symposium on (pp. 1-5). IEEE.
Krancher, O., Luther, P. and Jost, M., 2018. Key Affordances of Platform-as-a-Service: Self-
Organization and Continuous Feedback. Journal of Management Information Systems, 35,
pp.1-43.

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Kulkarni, D., 2015, July. Provenance Issues in Platform-as-a-Service Model of Cloud
Computing. In HotCloud.
Ojala, A. and Helander, N., 2014, January. Value creation and evolution of a value network:
A longitudinal case study on a Platform-as-a-Service provider. In System Sciences (HICSS),
2014 47th Hawaii International Conference on (pp. 975-984). IEEE.
Ojasalo, J., 2015, September. Open Service Innovation Platform in a Smart City. In
European Conference on Innovation and Entrepreneurship (p. 521). Academic Conferences
International Limited.
Woods, F., 2018. Youth television and platform neutral public service broadcasting.