Presentation

1. LiteratureReview
On
“Realtime data visualization using websockets on cloud server”
Submitted by
PRANAV DHENGRE
NIDHI FULARE
PORNIMA PANGUL
VAISHNAVI SRIMANTHULA
DEVESH JANGADE
Under the guidance of
Prof. Ayushi Jaiswal
Academic Session 2022-23

2. Content
• Introduction
• Literature Survey

3. Introduction
Demand for data and analytics is stronger than ever before
Data needs to be processed, prepared, and organized in order to be of any use, and a
key part of the refining process involves making data easily understandable for
employees.
This is why data visualization—the process of graphically representing data sets—is
becoming an increasingly integral part of many enterprise’s operations.

4. S.NO Year Title Analysis Publication
1. 2010 DATA
VISUALIZA
TION
In this paper, we first get
familiar with data
visualization and its related
concepts, then we will look
through some general
algorithms to do the data
visualization. To get deeper
about it, we will have some
discussion about
multidimensional data
visualization. With the
combination of some known
methods, we present a new
algorithm to do 4
dimensional data
visualization.
Mr. Zhao Kaidi
(School of
Computing,
National University
of Singapore)

5. S.NO Year Title Analysis Publication
2. 2011 Remote
Data
Visualizati
on
through
WebSocke
ts
In this paper, we have proposed
a remote visualization system
architecture using web sockets
that utilizes a few new
technologies available in modern
web browsers to make remote
visualization accessible to
anyone without the need to
neither download any of the
data nor need specialized
hardware to visualize it.
Mr. Andrew
Wessels, Mr. Mike
Purvis, Mr. Jahrain
Jackson, Mr. Syed
Rahman (EPSCoR
CYBER Team
2010)

6. S.NO Year Title Analysis Publication
3. 2016 DATA
VISUALIZA
TION
Data visualization involves
presenting data in graphical or
pictorial form which makes the
information easy to understand.
It helps to explain facts and
determine courses of action. It
will benefit any field of study
that requires innovative ways of
presenting large, complex
information. The advent of
computer graphics has shaped
modern visualization.
Mr. Matthew N.O.
Sadiku, Mr.
Adebowale E.
Shadare, Mr.
Sarhan M. Musa,
Mr. Cajetan M.
Akujuobi (Roy G.
Perry College of
Engineering)

7. S.NO Year Title Analysis Publication
4. 2016 Cloud-
Based
Processing
for Data
Science
Visualizati
on
Data scientists need to process
and visualize data science for
scientific and decision purposes.
The data have different size,
type, real-time or batch forms,
and validity. Data science
visualization has a challenge in
processing, management, and
technique. The research works to
investigate, design, and develop
the cloud-based processing for
data science visualization.
Mr. Ahmad Ashari,
Mr. Min Tjoa, Ms.
Mardhani
Riasetiawan