Cloud Adoption Strategy for Bunnings Warehouse Expansion

This report provides a comprehensive analysis of cloud computing solutions for Bunnings Warehouse, focusing on the company's international expansion goals. It begins by examining the existing business processes within the warehouse, including receiving, put-away, picking, and dispatching, and then assesses the cloud deployment requirements, specifically exploring Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The report then advocates for the adoption of IaaS, offering benefits such as cost reduction, flexibility, automatic software updates, enhanced collaboration, and improved security. Finally, it outlines a proposed implementation strategy for the chosen cloud computing solution, highlighting steps like virtual infrastructure, dynamic application, and flexible data processing centers, to convince Bunnings Warehouse to transition to cloud services. This report is a student contribution to Desklib, a platform for AI-powered study tools.

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CLOUD AND BEYOND
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Table of Contents
Introduction..........................................................................................................................2
Discussion............................................................................................................................2
Business Process Explanation..............................................................................................2
Cloud Deployment Requirement.........................................................................................3
Implementation of proposed cloud computing solution......................................................5
Conclusion...........................................................................................................................7
References............................................................................................................................8

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Introduction
The report is all about suggesting Bunnings warehouse for moving to cloud services. This
particular firm is focusing on making their business famous on international platform. Cloud
computing merely allows the business to emphasize on the vital aspect of the business (Botta et
al. 2016). At the time of defining the cloud strategy, a business can easily make a choice in
between the three that is public, private and hybrid cloud. The choice between the three depends
based on the kind of business application, technical knowledge and technical skills. Public cloud
is considered to be a popular model in cloud computing. In this, cloud service providers make
use of the internet and other resources like storage, infrastructure and servers.
In the coming pages, an overview has been given with respect to the business process
application. Along with this, the cloud requirement for Bunnings warehouse has been given with
details. The last part focus on the implementation of proposed cloud solution.
Discussion
Business Process Explanation
There are mainly seven business processes in the Bunning warehouse-like:
Receiving: It can be defined as the act of receiving product in the warehouse and system.
Receipts are there for a range of products like cartoons, crates, kilograms and lastly full pallets.
Also, there is list of items like pallets and small pin (Hashem et al. 2015). This particular
warehouse makes use of advanced shipping notice (ASN) for receiving products from different
suppliers. Considering the information on system, operators can easily scan the consignment
barcode for bringing it to ASN. If the delivery machine receives the ASN, then the goods system

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can be easily received. Some of the system allows the different goods to be easily received in the
inventory at this particular point. While there are needed goods which is to be delivered to a
specific location of stock prior to update of inventory (Almorsy, Grundy and Müller 2016). It
totally depends on the customer requirements and how the given system is being set up.
Put away: A good system will help the staff members with a specific note highlighting
the stock waiting for transportation in storage location. This particular process begins when the
operator put-away the given task from Warehouse system. After that, scanning of required
barcode for goods need to be done (Chen et al. 2015). If there is no kind of barcode, then a
manual entry will assure that the goods have been verified.
Picking: There are mainly two kinds of picking that is primary and secondary one. In the
case of primary picking, first picking is completely delivered for staging area or even packing
bench (Gai et al. 2016). It is a second packing process where the primary pick is generally
subjected to second picking process so that picked goods are allocated to a cluster of orders.
Dispatching: It can be defined as the successful technique of operation ability so that the
goods are ready to capture just in time for loading trucks. The mere focus of DC manager is all
about creating a balance in between two that is forecast packaging and dispatching.
Cloud Deployment Requirement
The topic of discussion for cloud computing relies on three major pillars that are
Infrastructure as a Service (IaaS), Platform as a service (PaaS) and lastly Software as a Service
(SaaS).
Infrastructure as a Service (IaaS): It is a platform where the infrastructure is provided to
most of the users. In just click of a single button, user can spin the virtual machine which is

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provided from the user end. The vendor will provide the machine which is responsible for
establishing a connection and initial provision of system (Marinescu 2017). In this model, the
vendor will provide a required machine and operating system but the client needs to install the
given software packages and database for running applications. IaaS need to have a system
administration team for managing its system and application of firewalls, patches and security.
Platform as a Service (PaaS): It can be defined as a new kind of technology which
merely runs on top of IaaS. In the PaaS platform, almost everything is provided except a list of
things like code, database and server. PaaS aims to provide certain number of features which are
designed for application particularly (Stergiou et al. 2018). It is inclusive of scale up application
that is completely based on user demand. PaaS aims to provide a complete environment which
requires to be managed in active way.
Software as a Service: In case of SaaS platform, a range of thing is provided to user
except application data. The mere focus of vendor is all about providing application code and
developer come up with limited amount of access to make modification for used software (Jalali
et al. 2016). Both hosted web emails and hosted sales automation is considered to be good
example of how SaaS can be used.
For Bunning warehouse, cloud computing can bring benefits like
Minimum cost: The provided service is completely free from any kind of capital
expenditure (Chang, Kuo and Ramachandran 2016). There is no huge amount of cost involved
for hardware in case of cloud computing.

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Capacity Flexibility: It merely offers flexible facility that can be easily turned off as the
circumstances of the user. Also, there is need of promotion of sales which is very much popular
in nature.
Automatic software updating: In case of cloud computing, server aims to supplies for
regular update for software that includes software update (Sen 2015). It is mainly required so that
the user do not waste any time for system maintenance.
Enhanced Collaboration: Cloud based application focus on authorized diverse groups of
people. It is mainly done so that they can virtually meet and exchange information by making
use of shared storage. This kind of capacity emphasize on improving customer service and
development of products.
Security: Cloud computing provides best kind of security for any kind of sensitive data of
Bunning warehouse. As vital information is completely stored in system, this can be easily
accessed even if the system is corrupted.
Easily Manageable: Cloud computing aims to offer enhanced and simplified IT
management and maintenance which is backed by the help of SLA.
Document control: At present, workers of Bunning warehouse exchange the files by
using email. In this, a single worker ends up creating a mess of titles, file content and formats.
Moving to cloud storage comes up with a huge number of benefits.
Disaster Recovery: Data is considered to be as one the major concern for most of the
organization. Data storage on cloud is available on 24*7 basis even if the equipment of this
warehouse are damaged. Cloud service providers the quick method of data recovery in case of
any emergency. Cloud infrastructure will also help in preventing any kind of data loss.

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Implementation of proposed cloud computing solution
For this warehouse, the most favoured cloud computing solution is IaaS. It merely aims
to provide some of the basic computing infrastructures like server and storage. IaaS services can
be a wide range of purpose that is hosting website so that big data can be analyzed. In this, the
representatives of this warehouse can install and use an operating system and tool of their own
choice (Gangwar, Date and Ramaswamy 2015). Example of IaaS providers are Amazon web
services, Google compute. Cloud based solution merely requires a huge amount of work. It does
not require any kind of major problem or chaos for breaking out. It can be implemented in the IT
infrastructure so that it can be controlled. It comprises of three major steps like
Virtual infrastructure: Hardware works like software. In the first step of
implementation, physical infrastructure which is completely replaced by using virtual machine.
A software layout helps to create an instance of hardware. Software has benefits which is easier
to be replaced and controllable under hardware. Most of the IT manufactures around the globe
aims to provide cloud products (Li et al. 2018). Cloud computing focus on providing a complete
extension or virtualization that includes the public network. It has various kind of cloud
capabilities which can provide a basic infrastructure for various computing process. In addition,
it makes use of different kind of re-usable infrastructure like database. This particular kind of
cloud is merely referred like an infrastructure as a service.
Dynamic Application: In the second stage, cloud application focus on monitoring for
utilization on automatically. Increase in the data volume, cloud API focus on duplicity of the
contents and distribution of processes (Mastelic et al. 2015). One of the method is all about
allowing the generation to script so that they can runbook automation where virtual machine is
generated on automatic basis. They need have certain important software followed by activation

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of production. Economic aspect of this approach is considered to be very much beneficial in
nature.
Flexible Center for data processing: In this level, the highest possible demand is for the
server environment. It is mainly encountered in certain financial service and online advertising
with rise and fall at quick rate. High scalability is not only put to application but to the whole
data processing centers and its components. This includes the different aspects like database,
network and memory (Etro 2015). Design of flexible data processing center is considered to be
bit difficult in nature. This can be met by depending on virtualized infrastructure.
Conclusion
The above pages help us in concluding the fact that this report is all about pursuing
Bunnings warehouse for deploying cloud services in their business. There are many third-party
providers who own and operate the physical hardware and provide the organization based on
their needs. Amazon elastic compute cloud, Microsoft azure are considered to be as one of the
well-known public provider. In case of public cloud, there are many physical hardware which is
shared by most of the organization. The multi-tenant environment helps in easier splitting of
infrastructure cost among different users. As a result of cost advantage factor and pay you go
model, public cloud is considered to be ideal for small sized business. Adaptation of IaaS like
Amazon as service can easily take up the responsibilities like maintaining, updating and scaling
various operation on server. IaaS server provides the required component which is require for
developing backend structure that offers flexibility and scalability.

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References
Almorsy, M., Grundy, J. and Müller, I., 2016. An analysis of the cloud computing security
problem. arXiv preprint arXiv:1609.01107.
Botta, A., De Donato, W., Persico, V. and Pescapé, A., 2016. Integration of cloud computing and
internet of things: a survey. Future generation computer systems, 56, pp.684-700.
Chang, V., Kuo, Y.H. and Ramachandran, M., 2016. Cloud computing adoption framework: A
security framework for business clouds. Future Generation Computer Systems, 57, pp.24-41.
Chen, X., Jiao, L., Li, W. and Fu, X., 2015. Efficient multi-user computation offloading for
mobile-edge cloud computing. IEEE/ACM Transactions on Networking, 24(5), pp.2795-2808
Etro, F., 2015. The economics of cloud computing. In Cloud Technology: Concepts,
Methodologies, Tools, and Applications (pp. 2135-2148). IGI Global.
Gai, K., Qiu, M., Zhao, H., Tao, L. and Zong, Z., 2016. Dynamic energy-aware cloudlet-based
mobile cloud computing model for green computing. Journal of Network and Computer
Applications, 59, pp.46-54.
Gangwar, H., Date, H. and Ramaswamy, R., 2015. Understanding determinants of cloud
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Hashem, I.A.T., Yaqoob, I., Anuar, N.B., Mokhtar, S., Gani, A. and Khan, S.U., 2015. The rise
of “big data” on cloud computing: Review and open research issues. Information systems, 47,
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Jalali, F., Hinton, K., Ayre, R., Alpcan, T. and Tucker, R.S., 2016. Fog computing may help to
save energy in cloud computing. IEEE Journal on Selected Areas in Communications, 34(5),
pp.1728-1739.
Li, J., Zhang, Y., Chen, X. and Xiang, Y., 2018. Secure attribute-based data sharing for resource-
limited users in cloud computing. Computers & Security, 72, pp.1-12.
Marinescu, D.C., 2017. Cloud computing: theory and practice. Morgan Kaufmann.
Mastelic, T., Oleksiak, A., Claussen, H., Brandic, I., Pierson, J.M. and Vasilakos, A.V., 2015.
Cloud computing: Survey on energy efficiency. Acm computing surveys (csur), 47(2), p.33.
Sen, J., 2015. Security and privacy issues in cloud computing. In Cloud Technology: Concepts,
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Stergiou, C., Psannis, K.E., Kim, B.G. and Gupta, B., 2018. Secure integration of IoT and cloud
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