Cloud Computing Solution: Improving Delivery Services with IBM

This report analyzes a case study of AB Pty. Ltd, a delivery service facing management and customer dissatisfaction issues due to delayed deliveries. The proposed solution involves developing an intelligent vehicle tracking application using IBM Bluemix, which includes features like managed deliveries, divided delivery zones (North, South, East, and West), continuous truck location monitoring, and active notifications for drivers and administrators. The design plan outlines steps from configuring IoT with IBM Bluemix to creating and configuring Geospatial Analytics. The deployment plan focuses on establishing communication with truck drivers for tracking movement. The solution aims to improve delivery service efficiency and customer satisfaction by leveraging cloud computing and IoT technologies. Desklib provides access to similar solved assignments and resources for students.

Cloud Computing

Table of Contents
1. Introduction............................................................................................................................................................ 1
1.1 IBM Bluemix...................................................................................................................................................... 1
2. Proposed Solution.................................................................................................................................................. 11
3. Design Plan............................................................................................................................................................ 11
4. Deployment Plan................................................................................................................................................... 18
5. Conclusion............................................................................................................................................................. 21
References- 2APA........................................................................................................................................................... 22

1. Introduction
A case study of AB Pty. Ltd is investigated, where the business analyst has completed
analysis. Mainly, the information collected by the analyst includes that, it is a delivery service
small business, which covers Austin downtown, Texas, USA. The business comprises of 3 trucks
for the product delivery. Gradually, the business saw that on a daily basis low deliveries are
being completed. This resulted in increasing the list of pending deliveries. To add to this
problem, the customers were sending feedbacks to show their dissatisfaction on late service. The
problem identified includes management issue, which leads to all the above mentioned problems.
This reports objective refers to resolving the management problem, delivery issue and
customer dissatisfaction. A proposed solution will be presented with a proper design and
deployment plan.
1.1 IBM Bluemix
Go to,
https://idaas.iam.ibm.com/idaas/mtfim/sps/authsvc?
PolicyId=urn:ibm:security:authentication:asf:basicldapuser
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See the below image and for the Node, choose SDK. Later, provide a host name for the
application.
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Create a database in DB MySQL, to establish database connection.
Next, start configuration once the connection has been established.
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The below image will be displayed.
Make editingand deploy the file. A pop-up window appears on the screen, for asking
redeployment of the file, in such case choose “Cancel” button.
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Open GIT Repository and commit the files.
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The changes made will appear on the window’s left side pane.
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When the application is successfully completed, ensure to confirm with a successful
acknowledgement message.
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Perform deployment of thesuccessful application message.
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2. Proposed Solution
Using IBM Bluemix service, the proposed system will work on developing an intelligent
vehicle tracking application, which contains the below mentioned characteristics:
a) The deliveries will be managed, by dividing and monitoring.
b) The delivery zones will be divided in to North, South, East and West, for easy access.
c) Trucks location will be monitored continuously (Breeding, 2012).
d) The truck driver can be contacted any time, to overcome the issue of uncertain
circumstances.
e) Notifications and alert messages will be active for the truck drivers and the
administrator.
3. Design Plan
For designing the plan of an intelligent vehicle tracking application, the steps are:
Step 1:Go to the website and log in.
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Step 3:Internet of Things should be integrated with IBM Bluemix services.
Step 2:IoT should be configured.
Step 3:Enter, device type, ID and name.
Step 4:Generate new APIKeys using “Add API.”
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Organization ID: rl79j3
Device Type: Vehicle
Device ID: XYZ
Authentication Method: token
Authentication Token: X-eW!!D!LQTIjK@Wfq
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Organization ID: rl79j3
Device Type: Vehicle
Device ID: XY
Authentication Method: token
Authentication Token: @Rk0&LQ+Vx8+4n&I2J
Step 5:Make deployment of the kit.
Step 6:Next, create project’scloneusing its repository.
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Step 7:If needed, use “Edit code” option and make changes to the code.
Step 8:Then, name the file as, manifest.yml.
Step 9:Enter the below mentioned information by openingconfig or settings.jsr file:
i. For iot_deviceType, enter the Vehicle type.
ii. For iot_deviceOrg, enter organization’s ID in six-characters.
iii. For iot_deviceSet, enter token and registeredID.
iv. For iot_apiKey, enter created API key.
v. For iot_apiToken, enter API key token.
vi. Then, save.
Step 10:Geospatial Analytics must be created and configured in this step.
Step 11:In this step binding the starter kit with the geospatial analytics is required, with the help
of IoT. Then, use this link to access,
http://app-name.mybluemix.net/GeospatialService_start
Step 12:Choose the “Alert” option at the end, to provide alerts(Ibm.com, 2016).
Finally, https://api.ng.bluemix.net., will direct to the developed application.
4. Deployment Plan
The plan for deployment is as follows:
Deployment comes only when the design work has completed, which includes some
testing. The establishment of communication with the truck driver is checked for tracking the
truck’s movement, whereSet Property command plays a major role in this test. Initially, the
command allows to connect to the map applications. Later, necessary modification for the
application’s properties can be performed (Antonopoulos & Gillam, 2017).
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5. Self-Reflect
The telemetry data are used to visualize the company information and it put the effort that
goes into effectively analyzing, utilizing and managing the company information. It easily
understood the company function to reduce everything without sacrificing the organization needs
and objectives. It easily enables the data collection from the remote points to support the vehicle
tracking visualization, analysis and monitoring. It easily contributes to implement the virtual
images of the trucking system to provide the effective processes on the basic of real products
from the factory.
6. Difficulties
The creation of smart application is takes some times to access the IBM blue mix services. It
has one or more difficulties to create the smart applications like vehicle tracking system such as
code editing, creation of database, application configuration, application deployment and
Geospatial analytics creations.
7. Conclusion
The business case study of AB Pty. Ltd is completed analyzing. The business analyst has
listed down a set of recommendations, form which the newly hired ICT Professional have chosen a
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solution, to solve the issue of delayed delivery service and customer dissatisfaction. The business is
realized to have 3 trucks and has problems in managing the deliveries on time. The solution
considered is a intelligent application that can help the business with assigning the deliveries and
tracking the movement of the trucks to ensure that the trucks are on their assigned tasks. IBM
Bluemix service is utilized. The solution is proposed with a design plan and a deployment plan in
this report, to produce an intelligent vehicle tracking system.
References
Antonopoulos, N., & Gillam, L. (2017). Cloud computing. Cham: Springer.
Breeding, M. (2012). Cloud computing. London: Facet.
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