Analysis of Cloud Computing for Smart Applications

This report provides a comprehensive analysis of cloud computing for smart applications, focusing on the comparison of major cloud service providers including Amazon Web Services (AWS), Microsoft Azure, and IBM cloud. The report delves into the services offered by each provider, particularly in the context of IoT, AI, and hardware resources, while also comparing PaaS and IaaS services. A significant portion of the report is dedicated to a step-by-step process of deploying a 'Hello World' application in the cloud, detailing the stages involved. The analysis also examines the ease of managing applications on these platforms. Finally, the report offers recommendations based on the comparative analysis and concludes with a summary of the key findings. The report is designed to provide a clear understanding of the capabilities and differences between the leading cloud providers and their suitability for smart applications.

Running head: CLOUD COMPUTING FOR SMART APPLICATIONS
CLOUD COMPUTING FOR SMART APPLICATIONS
Name of student
Name of university
Author’s note:

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Table of Contents
Introduction....................................................................................................................2
Discussion......................................................................................................................2
Cloud service providers..............................................................................................2
Analysis of cloud providers.......................................................................................4
Comparison of PaaS and IaaS services......................................................................5
Services offered for IoT, AI and hardware resources................................................7
Ease of managing the applications.............................................................................9
Step by step process of deploying Hello World.........................................................9
Recommendation......................................................................................................15
Conclusion....................................................................................................................16
References....................................................................................................................16

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Introduction
Cloud computing could be described as the group of specific networked elements that
are providing the services that are required and are not individuals addressed or even
managed by any of the users, rather the complete provider managed suite of the software as
well as the hardware could be considered as the cloud storage. This report intends to analyse
the various cloud service providers and then compare the chosen cloud service provider with
IBM cloud. The step by step process of deploying the Hello world application in cloud has
been provided with the summary of the stages that are included in the deployment.
Discussion
Cloud service providers
Amazon Web Services: It is the Amazon company that had been launched in year
2002. The company grew to be among the most popular cloud service providers in present
world (Chen et al. 2017). The AWS is the most comprehensive as well as the vastly adopted
platform of cloud in the world and it provides around 165 completely featured services from
the global data centres. This particular service is being used by huge amount of customers.
Vast range of services are being offered by this particular cloud computing platform
(Madhuri and Sowjanya 2016). The most popular services mainly includes the EC2, the
Virtual Private Cloud, Simple Storage Service, DynamoDB, AWS Data Transfer and the
Elastic Compute Cloud. In this company, the security of the cloud data is provided the major
focus for ensuring that there is not unauthorised access to the cloud data. The customers are
mainly benefitted from the data center as well as the network architecture that has been
developed for meeting the main requirements of extensively security sensitive organisations.
The various security services provided by the AWS company are the DDoS mitigation, the

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infrastructure security, the inventory configuration, data encryption, logging and then
monitoring, access and identity control and the penetration testing.
Microsoft Azure: This cloud computing platform is becoming the most used cloud
service in the present world due to the extensive features and the benefits that are provided to
the customers (Firestone et al. 2018). Azure provides vast range of services within several
categories that includes the AI + Machine Learning, Compute, DevOps, Containers, Identity,
Databases, Management, Migration, Media, Networking, Mobile, Storage, Security and Web.
It is considered to be the cloud computing service that has been developed by the Microsoft
for the development, testing, deployment, as well as the management of the applications as
well as the services using the Microsoft managed data centers. It offers the SaaS, the IaaS and
the PaaS services (Shi, Jin and Li 2019). The virtual machines, the IaaS provides the users
with the platform for deploying the common purpose virtual machines of Linux and
Microsoft Windows along with the preconfigured images of machines for the common
software packages. The App services, the PaaS environment allows the developers with the
ease of publishing as well as the management of the websites. The Azure search offers the
text search as well as the subset of the structured filters of the OData through the SDK APIs
or the REST. The Cosmos DB is the NoSQL service of the database that implements the
subset of SQL SELECT statement on the JSON documents. The Redis Cache could be
considered as the managed implementation of the Redis (Philip and Shah 2019).
Google Cloud: The cloud computing platform of Google company provides the
services such as the database, storage, the networking as well as various other services over
internet for providing the significantly faster, flexible as well as the innovative resources to
the customers (Mitchell and Zunnurhain 2019). Google Cloud could be described as the
efficient suite of the services of cloud computing that is offered by Google. This platform
mainly offers the various services such as computation, networking, the storage as well as the

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Big data and several services that runs on similar infrastructure that is used by the Google
company internally for the end users such as the Youtube and the Google Search (Posey et al.
2019). The hosting plans of the Google Cloud is considered to be significantly lower than the
other platforms of cloud computing. Google Cloud provides the customers with the feature of
pay-as-you-go where users are mainly instructed to pay for the resources that are being used
by them. The employees gain the entire access to the huge amount of information across the
devices from any location in the world using the web based applications that are powered by
Google (Lombardo 2019).
Oracle Cloud: This cloud computing platform could be described as the platform that
provides various cloud services. The cloud service is mainly the software that is being
provided in the Oracle Cloud. The applications services of the Oracle Cloud is mainly
divided into the two categories, namely, the Software as a Service and the Data as a Service.
The platform services that are offered by the Oracle Cloud are the Platform as a Service, the
Infrastructure as a Service (Kuszmaul et al. 2019). The Oracle Cloud mainly allows the
secure integration among the various services, the applications of customers as well as the
cloud services that are provided from the other suppliers Kumar (Kumar et al. 2019). These
particular services could work efficiently in the mutual sharing environment as the integrated
cloud environment. The Oracle Sales Cloud services could be easily integrated with the
respective application that is executing on the Oracle Java Cloud Service SaaS extension. The
CRMS could be easily extended with the custom applications. The Oracle Cloud service
could be easily integrated with the main functionality from various sites, for example
Salesforce (Rawal and Sharma 2017).
Analysis of cloud providers
The cloud service providers that are selected for making the comparison with the IBM
cloud are the AWS and Microsoft Azure. Vast range of services are being offered by the

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AWS cloud computing platform. The most popular services mainly includes the EC2, the
Virtual Private Cloud, Simple Storage Service, DynamoDB, AWS Data Transfer and the
Elastic Compute Cloud. All these services are also provided in the IBM cloud but in this
comparison, the extent of the benefits of all these features are further extended that would
help in justifying why the cloud service platform is most effective. The App services, the
PaaS environment allows the developers with the ease of publishing as well as the
management of the websites. The Azure search offers the text search as well as the subset of
the structured filters of the OData of the Microsoft Azure is considered to be effective
benefits of the Azure cloud computing platform and it permits the deployment of the
resources in the cloud service platform. The comparison of the AWS cloud and the Microsoft
Azure with the IBM cloud service provider would help in determining the main features of
each of the cloud service providers and determine which cloud service provider should be
used primarily for the deployment of network, for storing data and even various kinds of
computations.
Comparison of PaaS and IaaS services
Features AWS Microsoft Azure IBM cloud
Storage S3
EFS
EBS
Glacier (Gunther
and Chawla 2018)
Queue storage
Blob storage
Disk storage
File storage
Object storage
File storage
Block storage
Servers (Cash et al.
2016)
Mass storage

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Compute EC2 Virtual machines
(Karthikeyan 2017)
Servers
Bare metal
Power8
Virtual servers
(Sukhwani et al.
2017)
Data warehouse
and database
Aurora
DynamoDB
RDS
Redshift
SQL database
Data lake store
SQL data
Warehouse
Document DB
Table storage
(Straszewski,
Drozdz and Wouters
2018)
Big data hosting
Data services
Risk hosting
MongoDB hosting
(Sampé et al. 2018)
Backup and
disaster recover
Backup site recovery Backup
Containers ContainerService
ContainerRegistry
ContainerService
ContainerRegistry
Containers
In-memory
technology
ElastiCache RedisCache
Serverless/FaaS Lambda Functions OpenWhisk (Herger
et al. 2017)
Artificial
intelligence
Polly
Lex
Analytics
Bot service
Watson

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Machine learning
Rekognition
Data lake
Machine learning
Cognitive services
Analytics EMR
Athena
Kinesis
StreamAnalytics
HDInsight
Cloudera hosting
Analytics services
Internet of Things IoT platform
Greengrass
IoT hub Event Hubs Internet of Things
Services offered for IoT, AI and hardware resources
AWS, Microsoft Azure and the IBM cloud provides the various resources in the
sector of AI, IoT and the hardware. The Amazon Rekognition is the image analytics service
that is available in the suite of Amazon AI (Ryan and Lucifredi 2018). With the help of the
API of the Amazon Rekognition, the enterprises could enable the application with detecting
as well as analysing he objects, the scenes, the faces as well as various other items that are
embedded within the images (Arvindhan and Anand 2019).
The Microsof Azure cloud computing platform provides the artificial intelligence
features for the enterprises. It provides the AI resources such as the Analytics, Bot service,
Data lake, Machine learning and the Cognitive services (Kotas, Naughton and Imam 2018).
The data lake of Azure mainly includes various capabilities that are required for making it
significantly easy for the developers, the data scientists as well as the analysts with storing
the data of any shape, size as well as the speed and then conduct the various kinds of
processing as well as the analytics across the languages and the platforms (Hassan, Mohamed
and Sheta 2016).

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IBM Watson could be described as the cognitive platform for performing computation
that has been originally developed by the company IBM for answering the questions on Quiz
show (Denis 2017). The IBM Watson is presently the technology that is gained expansion to
vast variety of the commercial applications such as the driving the new Internet of Things, the
security, Blockchain, the cloud as well as various other technologies for gaining the insights
from huge number of sensors that are embedded in the machines, the cars, the appliances, as
well as the hospitals (Attitalla, Chocksi and Potdar 2017).
The IoT Greenfrass of the AWS extensively extends the AWS to the edge devices for
allowing them to act significantly locally on data that is generated by them, while constantly
using cloud platform for the analytics, the management, as well as the durable storage. With
the IoT Greengrass of AWS, the connected devices could easily execute the functions of
AWS Lambda, the Docker containers and then execute the predictions on the basis of the
models of machine learning, with maintaining the synchronisation of the devices as well as
the executing the communication with various devices significantly securely.
Azure IoT Hub is considered to be cloud gateway that helps in connecting the various
IoT devices for gathering data and then drive the business insights as well as the automation.
Additionally, the IoT hub involves the main features that helps with the enrichment of the
relationship among the devices as well as the backend systems. The development of the IoT
hub has been done for addressing the distinct requirements of the connection among the
various IoT devices to Azure cloud while the Event Hubs has been designed to execute the
streaming of Big data. It is recommended by Microsoft that Azure IoT hub should be used for
connecting the IoT devices to the Azure cloud.
IBM Watson IoT Platform is the extensively managed, cloud hosted service that has
been designed for making it significantly simple in deriving the major value from the devices

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of Internet of Things. IBM Watson IoT Platform along with the additional capabilities adds
on the services such as the analytic services and the blockchain services that enables the
organisations in capturing as well as exploring the data for various equipment, devices, as
well as the machines and then discover the major insights that would help in the improved
decision making.
Ease of managing the applications
Adding memory in AWS:
 From Amazon ECS console, within the navigation pace, select the task
definitions
 Select Create new Task Definition.
 For kind of the launch, select EC2, and then select the Next step
 Enter the name for the Task Definition Name
 Select Add container that is placed within Container Definitions section
 Enter name for the container name (Swedha and Dubey 2018)
 Enter nginx or suitable Docker image for the environment for the image
 For the Memory limits, select the Soft limit, and then input 800
 Select add and then select Create (Baker et al. 2019).
It could be considered that the allocation of memory and the space of computing is
most easy in the AWS cloud services for the IaaS and the PaaS services. It easily adds the
required memory and then provides the users with the desired memory space for executing
the various functions.
Step by step process of deploying Hello World
The stages that are required to be followed for deploying the Hello World application
are:

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Step 1: Start Eclipse and then sign into into the Azure account by the utilisation of the
instruction within Azure Sign In Instructions for the Azure Toolkit for Eclipse article
Step 2: Click on File, Click on New and then select the Dynamic Web Project
Step 3: Within the Project Explorer view of Eclipse, expand the MyWebApp, then
right-click on the WebContent, the click on New and then select the JSP file.

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Step 4: In this new JSP file, name this file as index.jsp, keep all the content on the
parent folder as the MyWebApp, then select Next.
Step 5: In Select JSP Template dialog box, select the New JSP File and click on
Finish.
Step 6: When the file has been opened, add in the text to dynamically display Hello
World in the prevailing <body> element. The updated <body> content must resemble as:
<body><b><% out.println("Hello World!"); %></b></body>
Step 7: In the Project Explorer of Eclipse, right click on the MyWebApp
Step 8: In context menu, choose the Azure, then select Publish as Azure Web App...
Step 9: If the user has not signed in into the Azure account, then sign in is required.