Cloud Computing & Big Data
Femme Sabaru - 1501170135 | Aditya Gisheila 1501152025 | Aninda Harapan - 1501152744 |
Harry - 1501145272 | Andrew Khosugih 1501156143
06PLM – GROUP 9
ABSTRACT
PURPOSE OF WRITING is to provide more information on the definition, usage
and functionality of Cloud Computing and Big Data. By providing more information
regarding cloud computing and the big data concept, it is expected that the readers can
understand both concepts and will be able to implement in their company or
organization. ANALYSIS METHODOLOGY is using the observation method—
observing the market trends, customer’s behaviors, and also worldwide IT trend. This
paper also uses literature study by using books, journals and also articles. RESULTS
ACHIEVED is an article defining the sample serviced of Cloud Computing and also
the definition of the Big Data concept, along with information on how to implement
the Big Data concept in a company. CONCLUSION is there are different ways in
using both Cloud Computing and Big Data in a company, companies only need to
understand what it is going to be used for, and the implementation will be optimized.
Keywords: Cloud, Computing, Cloud Computing, Big, Data, Big Data
Table of Contents
ABSTRACT .................................................................................................................. 2
CHAPTER 1 INTRODUCTION ................................................................................ 4
BACKGROUND ................................................................................................................. 4
SCOPE ................................................................................................................................. 4
OBJECTIVE AND BENEFITS ......................................................................................... 5
METHODOLOGY.............................................................................................................. 5
CHAPTER 2 LITERATURE REVIEW .................................................................... 6
Definition of Cloud Computing.......................................................................................... 6
Definition of Cloud Architecture ....................................................................................... 6
Definition of Data ................................................................................................................ 6
Definition of Big Data ......................................................................................................... 6
Definition of Virtualization ................................................................................................ 6
Definition of Cloud Analytics ............................................................................................. 6
CHAPTER 3 DISCUSSION........................................................................................ 8
Cloud Computing ................................................................................................................ 8
Cloud Computing Characteristics ..................................................................................... 8
Types of Cloud..................................................................................................................... 9
Cloud Architecture............................................................................................................ 9
Big Data .......................................................................................................................... 10
Cloud Analytics .............................................................................................................. 12
Virtualization .................................................................................................................. 12
CHAPTER 4 CONCLUSION ................................................................................... 14
CONCLUSION.................................................................................................................. 14
SUGGESTION .................................................................................................................. 14
References ................................................................................................................... 15
BIOGRAPHY ............................................................................................................. 16
CHAPTER 1
INTRODUCTION
BACKGROUND
Nowadays in this 21st century, most of transactions rely on online service and electronic
cashless in order to achieve the absolute goal by the management in obtaining the maximum
profit. Big data is combination of data-management technologies that have evolved from time
to time. It enables organizations to store, manage, and manipulate vast amounts of data at the
right speed and at the right time to gain the right insights. As companies begin to evaluate
new types of big data solutions, many new opportunities will unfold. In Indonesia still not
many people know about the befenit for using the cloud computing but for the entreprises,
they already know how the cloud computing help them to manage their data which is big
enough to be handled in one place.
Cloud computing is a model for enabling, convenient, on-demand network access to a
shared pool of configurable computing resources (eg. networks, servers, storage, applications,
and services) that can be rapidly provisioned and released with minimal management effort or
service provider interaction. For example, manufacturing companies may be able to monitor
data coming from machine sensors to determine how processes need to be modified before a
catastrophic event happens. It will be possible for retailers to monitor data in real time to
upsell customers related products as they are executing a transaction.
SCOPE
This paper will analyze several topics in order for reader to understand e-auction supplier in
proper term. Consisting of:

About cloud computing in Indonesia is limited by the scope of the following several
journals about definition, usability of cloud computing and big data for enterprise in
Indonesia.

About big data and cloud computing is limited by the scope of the data gathering from
web on big data and cloud computing, especially in practical way
OBJECTIVE AND BENEFITS
The objective of this writing is to understand about the cloud computing in Indonesia
and how they manage the big data that the company have in Indonesia
The benefits that is derived from this article:

Obtain more knowledge about cloud computing

Know how to build a good company in Indonesia

Have information about big data and cloud computing.

Understand more about the advantages and disadvantages of using big data and cloud
computing
METHODOLOGY
Method that being used in this paper:

Observation Method

Literature Study
CHAPTER 2
LITERATURE REVIEW
Definition of Cloud Computing
A model of network computing where a program or application runs on a connected
server or servers rather than on a local computing device such as a PC, tablet or smartphone.
Definition of Cloud Architecture
The components and subcomponents required for cloud computing. These components
typically consist of a front end platform (fat client, thin client, mobile device), back end
platforms (servers, storage), a cloud based delivery, and a network (Internet, Intranet,
Intercloud). Combined, these components make up cloud computing architecture..
Definition of Data
A structure that is tabular (made up of rows and columns), a tree (a set of nodes with
parent-child relationship), or a graph (a set of connected nodes). Data are typically the results
of measurements, and can be visualised as graphs or images.
Definition of Big Data
Blanket term for any collection of data sets so large and complex that it becomes
difficult to process using on-hand database management tools or traditional data processing
applications.
Definition of Virtualization
The act of creating a virtual (rather than actual) version of something, including but
not limited to a virtual computer hardware platform, operating system (OS), storage device,
or computer network resources.
Definition of Cloud Analytics
Designed to make official statistical data readily categorized and available with the
click of a mouse via the users web browser. The real benefits to the world of analytics are that
it brings all the advantages of cloud computing to data exploration, analysis and sharing.
Organizations no longer face the task of managing individual client applications and data,
there is one copy located on a central cloud-based server. Every user has the latest version
without the IT department spending endless time performing updates on individual machines
CHAPTER 3
DISCUSSION
Cloud Computing
A metaphorical term referring to a model of network computing where a program or a
applications runs on a connected server.
Actually, cloud is refers to the Internet. Which people who drew the network diagram
to represent the unknown segments of the network. So, actually the “in the cloud” phrase that
nowadays are trending refers to the software, platform, and infrastructure that using Internet
network and sold as a service.
Cloud Computing Characteristics

Agility improves with users' ability to re-provision technological infrastructure
resources.

Cost: cloud providers claim that computing costs reduce. A public-cloud delivery
model converts capital expenditure to operational expenditure.

Device and location independence enable users to access systems using a web
browser regardless of their location or what device they use (e.g., PC, mobile phone).

Virtualization technology allows sharing of servers and storage devices and increased
utilization. Applications can be easily migrated from one physical server to another.

Multitenancy enables sharing of resources and costs across a large pool of users thus
allowing for:

Centralization of infrastructure in locations with lower costs

Peak-load capacity increases users need not engineer for highest possible load-levels

Utilization and efficiency improvements for systems that are often only 10–20%
utilised.

Reliability improves with the use of multiple redundant sites, which makes welldesigned cloud computing suitable for business continuity and disaster recovery.

Scalability and elasticity via dynamic ("on-demand") provisioning of resources on a
fine-grained, self-service basis in near real-time.

Performance is monitored and consistent and loosely coupled architectures are
constructed using web services as the system interface.

Security can improve due to centralization of data, increased security-focused
resources, etc., but concerns can persist about loss of control over certain sensitive
data, and the lack of security for stored kernels.

Maintenance of cloud computing applications is easier, because they do not need to
be installed on each user's computer and can be accessed from different places.
Types of Cloud

Private Cloud, is a cloud that infrastructure that used by a single organization and
only the organization can open, edit, and manage the cloud infrastructure.

Public Cloud is a cloud that the services is rendered into a public usage.

Community Cloud is a cloud that shares infrastructure between several organizations
from a specific community with common concerns.

Hybrid Cloud, is a composition between two or more clouds that remain distinct
entities but are bound together, offering the benefits of multiple deployment models
Cloud Architecture
Cloud architecture refers to the requirement for cloud computing. Which typically is consists
of 3 compositions, which are:
1.
Front-end platform (i.e. fat client, thin client, mobile device)
2. Back-end platform (servers and databases)
3. A cloud based delivery, which classified into 4
a. Software as a Service (SaaS)
Which involves the cloud provider installing and maintaining software in the cloud
users are running the software from their cloud clients over the Internet.
b. Development as a Service (DaaS)
Is a web based, community shared development tools.
c. Platform as a Service (PaaS)
Is a cloud computing service, which provides the users applications platforms and
databases as a service.
d. Infrastructure as a Service (IaaS)
Is taking the physical hardware and going completely virtual, which nowadays is
known as virtualization.
And the last is the network (internet, intranet, Intercloud).
Big Data
Big data is a blanket term of data which in a very large size of bytes and followed by the
complicated complexity that it becomes difficult to process using on-hand database
management tools or traditional data processing applications.
Cloud Analytics
Big data requires advanced technologies to competently process large quantities of
data within acceptable time frames. The traditional means by which official statistics are
analyzed and disseminated, both commercially and privately, consists of a large capital outlay
for data life-cycle management and infrastructure. Additionally, the business processes by
which official statistics are extracted and disseminated are inefficient, costly and require
specific expertise.
Cloud Analytics is designed to make official statistical data readily categorized and
available with the click of a mouse via the users web browser. Cubes are available in the
cloud, so the user no longer has to spend time and cost downloading, storing or archiving
large volumes of data. The user does not have to install expensive software, perform updates
or upgrades to newer versions. All this is now handled on external servers hosted by various
providers.
The real benefits to the world of analytics are that it brings all the advantages of cloud
computing to data exploration, analysis and sharing. Organizations no longer face the task of
managing individual client applications and data, there is one copy located on a central cloudbased server. Every user has the latest version without the IT department spending endless
time performing updates on individual machines
Virtualization
Is creating a virtual version of something, usually create a virtual computer hardware,
operating system (OS), storage device, or computer network resources.
In this writing, our discussion refers virtualization is one of the answers for the cloud solution
on big data.
Because, in virtualization, the storage hardware can divided into two; The first one is
for the virtualization application for processing the data and the rest of space is for the
storage. So, not all the capacity of storage is taken, but partially taken as the virtual machine.
And the virtual machine will do the data processing task, so it will save cost in data
processing and also save time by sending the data to the server, the data processing is includes
inside the server, and also save space to put the back-end processing nodes (PCs).
We can give this opinion because now people can develop a virtualized computer,
with some modifications, they can create an application that is automated to do some task. In
this case the application will do the data processing task automatically. And the only concern
is the chance for the system down, the chance for data error is lowered near to zero percent,
because it’s a coded applications
CHAPTER 4
CONCLUSION
CONCLUSION
Cloud computing is one of the technologies that can be applied in any aspects, in
organization or individual using. By using cloud computing, user can save up a big data to
storage, which connected, to the server.
Based on cloud computing characteristics itself, cloud computing have more
advantages for user. It is such a good thing that cloud computing already been used,
maintained and developed not only by organizations but also individual using.
Organizations or individual user nowadays used cloud computing for their own safety,
since cloud computing can be managed by themselves and they can decide what type of cloud
computing they are going to use, and also cloud computing can be access anywhere, from PC,
tablet, iPad, or smartphone.
SUGGESTION
Because of the limitation of time, we are suggesting several necessary parts that need to be
developed.

Cloud computing example

Cloud computing user

Cloud computing development

Cloud computing activities.
References
Choi, H. J. (2009). Technology Transfer Issues and a New Technology Transfer Model. The
Journal of Technology Studies, 10.
Ekaputri, G. H. (n.d.). The Importance of Information and Communication Technology (ICT)
for Development to Indonesia’s Future , 3.
Ghaziri, H. (1998). opportunities, threats and strategies. Information technology in the
banking sector :, 5.
Institute for Development and Research in Banking Technology. (2013). Towards Improving
Business Performance and. Technology in Banking, 25.
BIOGRAPHY
A. Biography
1
Full Name (with title)
Femme Lienda Hiwusala Sabaru
2
Gender
Female
3
Major
Information System
4
NIM
1501170135
5
D.O.B.
February 22nd 1993
6
E-mail
femme.sabaru@gmail.com
7
Tel. Number / HP
081999100630
B. Education History
SD
SMP
SMA
Institution
Sekolah
Dyatmika, Bali
Sekolah
Dyatmika, Bali
SMA Taman
Rama, Jimbaran
Year
1999-2005
2005-2008
2008-2011
C. Rewards & Appreciations
No
Reward Type
Institution
Year
A. Biography
1
Full Name (with title)
Aditya Gisheila Nastiti Prameswara
2
Gender
Female
3
Major
Information System
4
NIM
1501152025
5
D.O.B.
19th October 1993
6
E-mail
adityagh19@gmail.com
7
Tel. Number / HP
0811 877 3538
B. Education History
SD
SMP
SMA
Institution
SDS Angkasa 1,
Jakarta
SMP N 103,
Jakarta
SMAT Krida
Nusantara,
Bandung
Year
1999 – 2005
2005 – 2008
2008-2011
C. Rewards & Appreciations
No
Reward Type
Institution
Year
A. Biography
1
Full Name (with title)
Aninda Harapan
2
Gender
Female
3
Major
Information System
4
NIM
1501152744
5
D.O.B.
April 22nd 1994
6
E-mail
nindaaninda94@gmail.com
7
Tel. Number / HP
087883496826
B. Education History
SD
SMP
SMA
Institution
Baptis Elim
Kristen
Ketapang 1
Kristen Ketapang
1
Year
1999-2005
2005-2008
2008-2011
C. Rewards & Appreciations
No
Reward Type
Institution
Year
A. Biography
1
Full Name (with title)
Andrew Khosugih
2
Gender
Male
3
Major
Information Systen
4
NIM
1501156143
5
D.O.B.
1st February 1993
6
E-mail
Andrew_khosugih@yahoo.co.id
7
Tel. Number / HP
08988081295
B. Education History
SD
SMP
SMA
Institution
Chandra Kusuma
Chandra Kusuma
Ricci 1
Year
1999-2005
2005-2008
2008-2011
C. Rewards & Appreciations
No
Reward Type
Institution
Year
A. Biography
1
Full Name (with title)
Harry
2
Gender
Male
3
Major
Information System
4
NIM
1501145272
5
D.O.B.
April 5th 1993
6
E-mail
harrybinusorg@gmail.com
7
Tel. Number / HP
087869551230
B. Education History
SD
SMP
SMA
Institution
SD Methodist 3,
Medan
SMP Methodist
3, Medan
SMA Methodist
2, Medan
Year
1999-2005
2005-2008
2008-2011
C. Rewards & Appreciations
No
Reward Type
Institution
Year