ICT role in 21st century education and it's challenges.
ICT Innovation @UM
1. ICT Innovations @UM
Dr. David Asirvatham
Director of Information Technology
University of Malaya
2. 2
University of Malaya
Singapore
(April 1949)
University of Singapore
(later known as National
University of Singapore)
UNIVERSITY OF MALAYA
KUALA LUMPUR
Raffles College
Singapore
(1928)
King Edward Vii College
Of Medicine, Singapore
(1905) 1 January 1962
Introduction to University of Malaya
3. • Located in Kuala
Lumpur
• 1st in Malaysia
• 3rd in South East Asia
• 29th in Asia
• 146th in the world
Introduction of UMIntroduction to University of Malaya
4. Facts and Figures
12 Faculties
2 Academies
6 Institutes
5 Centres
8 Research Clusters
Faculties & Academies
Medicine
Science
Engineering
Economics & Administration
Business & Accountancy
Education
Languages & Linguistics
Law
Sport
Dentistry
Computer Science & IT
Arts & Social Sciences
Islamic Studies
Malay Studies
Total no of Students 27,000
Undergraduates 13,000
Postgraduates 12,000
International 3,000
Total No of Staff 6,000
Academic 2,500
Non-Academic 3,500
4
IoT and Big Data: Moving towards a smart world
6. 6
Do you think, an orchid
will ever be able to tell its
story?
Do you think, cars can
communicate with each
other?
Can you imagine an
ambulance that gathers critical
patient information before
arriving at the hospital?
12. Chalk-and-talk (Traditional)
o Less emphasis
Online Learning
o greater emphasis
o Anywhere, Anytime
MOOC, e-Learning and Blended Approach
12
13. Disruptive Technology
Disruptive because it changes the traditional way of
teaching
MOOC, E-learning, and Blended Learning are preferred by
the students.
The Internet, mobile devices and now IoT, Big Data and
Cloud.
13
14. Disruptive Technology
Internet & Mobile:
Taxi – Uber
Banking – Internet Banking, Banksimple
Courier – Rickshaw
Travel – Ticketing (Skyscanner) and Hotel (Agoda)
Shopping – Amazon, Lazada, etc.
IoT, Big Data and Cloud......
14
15. Jobs are changing
Many jobs has become
obsolete
New Jobs are created daily
The way we work, changes
Technology
Distributed work
Information & Knowledge
15
19. ICT Framework for UM
Enterprise Platform
Network Infrastructure
(Leased Lines, Gigabit Ethernet, Security, SAN storage,, etc.)
Uni
DB
Uni
DB
Uni
DB
Uni
DB
UMStandards
(Policies,Guidelines,Specifications,XMLStandards,etc)
Uni
DB
MOHE
UsersPresentatio
n
ApplicationPlatformDatabas
e
Infra
Presentation Layer
(Browser-based, client-server, SMS, PDA, 3G, etc.)
Uni
DB
Digital
Library
System
Smart Card
System
R & D
Information
System
e-Learning
System
e-Academics
Human
Resource
Information
System
Inventory/
Asset
Management
System
Financial
System
e-
Procurement
System
Staff
Information
System
Scholarship/
Loan System
Student
Information
System
Document
Management
System
e-Governance
Student Staff Administr
ators
Others
22. UM’s Network Infrastructure is Large
22
No Description
1 Access Points 2300
2 No of Devices
connected during peak
(WiFi)
20,000
3 Internet Access Speed 6 Gbps
4 Intranet Backbone 40 Gbps, 10
Gbps &
1 Gbps
5 PC 8,000
6 Data Points 10,000
7 Switches 900
23. • Total Servers: 280 Servers
• Physical servers: 150
• Virtual Servers: 130
• Network Attached Storage (NAS): Usage: 30 TB
• Central Backup System
• Data Centre Network Switches, LB, Firewall, IPS, etc.
Data Centre Facilities
25. • Upgrade all aging network switches (access & distribution)
• Upgrade Internet bandwidth to 5Gbps
• Improve Internet Security with new IPS, Firewall, Anti-
DDOS, etc.
• Improve Internet bandwidth usage management with
10G ACE (Ruijie Bandwidth Manager)
Current Network Status
26. • New Network Design cater for future expansion
• High Performance
• Reliable & High Availability
• Better Network Protection
• Centralized Network Management (RIIL)
27. Year 2015, Student Residential & Faculty Wireless Upgrade (802.11ac)
VALUE: To improve wireless service for student
WiFi Project (Phase I & II)
28. 1G Port1G Port
Link 1-2
Link 3-4 Link 1-2
Link 3-4
SW 1
Convergence Timer
milliseconds
3.6
VSL
SW 2
VSU 3.0
XSwitch Failure
AP AP
Redundancy in Core Network
41. University of Malaya 41
Unified Authentication Gateway Platform
OBJECTIVES:
1. To prepare the for campus Bring Your Own Device (BYOD)
2. To capture the user information and behaviour on the network
3. To provide visibility, accountability and controllability for
every user in the campus who accessing the campus network.
4. To study, educate and cultivate the campus user on the proper
use of the network and internet facilities provided by UM.
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Unified Authentication Gateway Platform
1) Single SSID for (Staff, Student, Guest) ; UM-WiFI
1) Different group of users will only need single SSID to be broadcast in the
campus network, less confuse to the end user to know which SSID should be
use in order to gain access to the campus network
2) User Isolation
In this Simplistic Campus Network, all the connected users will be isolated at
layer 2 of Open Systems Interconnection (OSI) model. Connected devices will
not able to directly communicate with each other even in the same broadcast
domain.
FEATURES
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3. Seamless Authentication
Seamless authentication enable the granted user to key in password once at the first
time connect to campus network, subsequent reconnect to the network will be pre-
authenticated and no further authentication via web-authentication until device
binding expired or unbind manually.
4. Concurrent online device control
Limit users’ concurrent device online. Staff login service portal to view online devices
Unified Authentication Gateway Platform
FEATURESFEATURES
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5) Easy Guest Access
Unified Authentication Gateway Platform
FEATURES
46. University of Malaya 46
NUMBER OF USERS
Unified Authentication Gateway Platform
Number of user as on 6/5/2016 = 10,592
50. Big Data Initiatives @ UM (Phase I)
Log files
are
collected
from
various
source
Structured
data are
collected
from
various DB
Central Log
Server
DB Staging
Server
Cloudera
Manager
Hadoop
Node 1
Hadoop
Node 2
Hadoop
Node 3
Hadoop
Node 4
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Structured data : Sample Analytic
Generated from Student Info System
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Structured data : Sample Analytic
Generated from Student Info System
Significant
increase in
admission
via
Matriculations
Programmes
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Structured data : Sample Analytic
Generated from Student Info System
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For Big Data Analytics, there is a
need for a resilient and excellent
Network environment