This document discusses cloud database as a service (CDaaS). It begins by outlining some key advantages of CDaaS, such as scalability, cost savings, and ease of use. It then examines some challenges of CDaaS, such as internet speed, query workloads, and privacy issues. Finally, it proposes that CDaaS will play an important role in the future of databases and computing.

1. By: Khue Viet Dinh
SID: 11582340
Project blog:
http://thinkspace.csu.edu.au/11582340khue/.

2.  Cloud computing is one of the latest technical
developments and is attracting lots of notices
from private organizations. We usually hear
about cloud computing but we do not actually
understand it completely. The issues relating to
cloud computing are focusing on improving
systems and cutting down the cost of
investment. However, the benefit of CDaaS in
enhancing the effectiveness of users is not
usually mentioned in reality.

4.  The internet speed: The communication between clients and cloud
databases is based on the internet. Consequently, the speed of the internet
has an important role in enhancing the development of cloud databases.
It is able to affect the performance of cloud databases (Bloor, 2011). The
solution for this challenge is to improve the speed of the internet and in
return it could advance the usage of cloud database as a service.
 Query and transactional workloads: The main difference between query
workloads and transactional workloads is that we are able to control
transactional workloads, but we cannot control query workloads because
it depends on the number of queries and we do not know how many
users are waiting to execute the query (Januzaj, 2015). The solution for
this is that a query will be processed in different memories instead of
processing in only one memory.
 Multi-tenancy: With a given set of databases and workloads, the
challenge for database as a service is how to get the best performance
with the minimum number of machines. Traditionally, corporations
usually add as many physical machines as possible to improve the
performance. However, this is not the best solution for this challenge. The
best solution is to use a single database server on each virtual machine,
which hosts multiple logical databases (Curino, Madden, and et.al.).

5.  Elastic scalability: As CDaaS is a shared service among
tenant. It must have the ability to scale up or down
depends on requirements of each customer. The
capability of scaling is also a benefit of cloud database
which can improve the performance of DBMS.
 The privacy: issue is the most concern when it comes
to cloud computing. CDaaS is public service, as a
result, it is being targeted by unauthorized accessing
from both external and internal assessing of cloud
database systems. One of the proposed model to tackle
this problem is the combination of encrypted data and
obfuscation (Rehman & Hussain, 2011). This model has
been experimented in the reality that it can create an
improvement of protecting privacy of data stored in
the cloud databases.

6.  Scalability and Elasticity: each client has a specific
requirement for their DBMS on the cloud platform. CDaaS is
a service has ability of scaling up or down based on
customers’ demands. This special kind of flexibility has
made CDaaS becoming a high-demanded platform among
corporations in recent years.
 Cost Savings: instead of investing a huge amount of money
into IT infrastructure, customers are able to hire a cloud
database for their system. This can save customer lots of
money and in return their income can be increased
significantly.
 Ease of Use: CDaaS is responsible for installing, managing
and maintaining customers’ DBMS. This will help customers
cutting down the costs for these services. They do not need
to worry about hiring skilled staff for operating these
activities.

7.  Database size: each provider of CDaaS provides
different storage size for customers with a variety of
prizes. Customers need to make sure that they know
the size of their databases before choosing the most
suitable provider with the cheapest prize.
 Portability: it is the best if customers choose a provider
that supports transferring their databases to other
providers without any struggle or difficulty.
 Transaction Capabilities: this is an important standard
for choosing a CDaaS, especially among e-commerce
companies. All transactions are processed through the
internet, so customers need to make sure that the
providers have abilities to control online transactions
effectively.

8.  Configurability: this ability needs special skills to complete
such as a database administrator. However, a good CDaaS
provider should have capability of providing basic functions
for customers to configure their databases.
 Database Accessibility: considering those who support
different kind of connection to cloud databases is the best
option for customers. With so many different kind of code
languages and platforms, a good providers should support
all that of external connection.
 Certification and Accreditation: it is better choosing CDaaS
providers who have certification and accreditation. This can
get rid of any inconvenience for customers in the future.
Choosing reputable providers such as Amazon or Google
can be a safe choice for customers, for instance.

9.  There is no doubt that cloud database as a service
will have a stable and significant role in the future.
It could reach to $14billion in the next three years
from only $1billion today (Thomas, 2016). Looking
back the evolution of databases, it will prove for
the above argument. It was just 50 years ago, data
was stored in simple structures such as text files.
After that, we had structured databases in the last
decade including relational databases. Todays,
databases are being transferred gradually to cloud
computing platform. It will absolutely still exist in
the foreseeable future.

10.  This project has outlined information of CDaaS.
It also analyzes the advantages and the issues
of CDaaS. From this analysis, it also provide
basic standards for choosing the best suitable
CDaaS provider. As CDaaS are becoming
popular not only for corporations but also for
individuals, the future of CDaaS will be
obviously vital in the near future.

11.  Agrawal, D., Abbadi, A.E., Das, S. & Elmore, A.J. (2011). Database Scalability, Elasticity,
and Autonomy in the Cloud. Santa Barbara, CA, USA: University of California.
 Bloor, R. (2011). WHAT IS A CLOUD DATABASE? Retrieved from algebraixdata website:
http://www.algebraixdata.com/wordpress/wp-
content/uploads/2010/01/AlgebraixWP2011v06.pdf
 Curino, C., Madden, S. and et.al. Relational Cloud: A Database as a Service for the Cloud.
Retrieved from Cidrdb website:
http://www.cidrdb.org/cidr2011/Papers/CIDR11_Paper33.pdf
 Januzaj, Y., Ajdari, J. & Selimi B. (2015). DBMS as a Cloud service: Advantages and
Disadvantages. Procedia - Social and Behavioral Sciences, 195.
 jldugger (2011). What's the difference between cloud hosting and normal hosting? Retrieved
from serverfault website: http://serverfault.com/questions/70920/whats-the-
difference-between-cloud-hosting-and-normal-hosting
 Kincaid, T. (August 2, 2013). The Benefits of Cloud Databases. Retrieved from Business-
Software website: http://www.business-software.com/blog/the-benefits-of-cloud-
databases-2/
 Munday, J.E. (n.d.). What is a Cloud Database? Retrieved from knowthecloud website:
http://www.knowthecloud.com/What-is/what-are-cloud-databases.html

12.  Pizette, L. & Cabot, T. (January, 2012). Database as a Service: A Marketplace Assessment.
Retrieved from mitre website:
https://www.mitre.org/sites/default/files/pdf/cloud_database_service_dbaas.pdf
 Rehman, A.U. & Hussain, M. (October, 2011). Efficient Cloud Database Confidentiality
for DaaS. International Journal of Advanced Science and Technology, 35.
 Rossman, G. (October 28, 2015). Survey Finds Database in the Cloud Takist zng over in
Enterprises. Retrieved from Tesora website: https://www.tesora.com/press-
releases/survey-finds-database-in-the-cloud-taking-over-in-enterprises/
 Rouse, M. (April 2015). Cloud DBMS (cloud database management system). Retrieved from
WhatIs website: http://whatis.techtarget.com/definition/cloud-DBMS
 Saha, A. (October 24, 2013). Cloud based CRM solution a boon to the Real Estate Consultants.
Retrieved from RealtoExpress the Ultimate CRM for Indian Real Estate Consultants
blogspot: http://realtoexpressthecrm.blogspot.com.au/2014/04/cloud-based-crm-
solution-boon-to-real.html
 Seshachala, S. (March 17, 2015). Disadvantages of Cloud Computing. Retrieved from
CloudAcademy Blog: http://cloudacademy.com/blog/disadvantages-of-cloud-
computing/
 Shehri, W.A. (April, 2013). Cloud Database Database as a Service. International Journal of
Database Management Systems, 5(2).
 Thomas, S. (August 7, 2016). Why Data Will Be Stored in Cloud Databases in the Future.
Retrieved from DATAFLOQ website: https://datafloq.com/read/why-data-will-be-
stored-in-cloud-databases-future/2205