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University of Malaya 1
ICT Initiatives at
University of Malaya
Dr. David Asirvatham
Director of IT Centre
University of Malaya
Kuala Lumpur
Email: [email protected]
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
University of Malaya 3
• Located in Kuala Lumpur
• 428 blocks building
• 922 acres
• ~ 27,000 students
Introduction of UMIntroduction to University of Malaya
University of Malaya 4
Total 27,000
Undergraduates 13,000
Postgraduates 12,000
International 3,000
Student Population
University of Malaya 5
Total 6,000
Academic 2,500
Non-Academic 3,500
Staff Population
University of Malaya 6
Network Infrastructure
6
No Description
1 Access Points 1800
2 No of Devices connected during peak (WiFi)
20,000
3 Internet Access Speed
5 Gbps
4 Intranet Backbone 40 Gbps, 10 Gbps &
1 Gbps
5 PC 8,000
6 Data Points 10,000
7 Switches 900
University of Malaya 7
• 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, etc.
Data Centre Facilities
University of Malaya 8
Review
UM Campus Network Development
University of Malaya 9
Aging network equipment &End of Support
Outdated network design &Network architecture
bottleneck
Network management Difficulties
No visual network overview
Old Network Design
University of Malaya 10
Seksyen RangkaianOld Network Design
University of Malaya 11
Old Network Design
University of Malaya 12
Year 2008, Campus Wireless (1000 AP, 54Mbps)
Old Wireless Design
University of Malaya 13University of Malaya 13
University of Malaya
ICT Strategic Plan2015 - 2017
Master Plan
University of Malaya 14
Master Plan & Strategies
University of Malaya 15
ICT Framework for UM
Enterprise Platform
Network Infrastructure
(Leased Lines, Gigabit Ethernet, Security, SAN storage,, etc.)
Uni
DB
Uni
DB
Uni
DB
Uni
DB
UM
Sta
nd
ard
s
(Po
licie
s, G
uid
elin
es, S
pecific
atio
ns, X
ML
Sta
nd
ard
s, e
tc)
Uni
DB
MOHE
Use
rsP
rese
nta
tio
n
Ap
plic
atio
nP
latfo
rmD
ata
ba
s
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
University of Malaya 16
Year 2013, 40G Resiliency Cloud Backbone Upgrade
New Network Design
University of Malaya 17
Year 2014, Student Residential Wireless Upgrade (802.1ac)
VALUE: To improve wireless service for student
New Wireless Project
University of Malaya 18
• Upgrade all aging network switches (access & distribution) – On going
• Upgrade Internet bandwidth to 5Gbps -Done
• Improve Internet Security with new IPS – On going
• Improve Internet bandwidth usage management with Ruijie 10G ACE (Bandwidth Manager) - Done
Current Network Status
University of Malaya 19
Ruijie & UM’s Journey
toward
Service Oriented Campus
University of Malaya 20
• New Architecture Design for future expansion
• High Performance price value• Reliable & High Availability with VSU
(No single point of failure)• Better Network Protection
• Centralized Network Management with SNC
• Centralized Services Monitoring with RIIL
University of Malaya 21
1G Port1G Port
Link 1-2Link 3-4 Link 1-2
Link 3-4
SW 1Convergence Timer
milliseconds
1 - 4
VSL
SW 2
VSU 3.0
XSwitch Failure
AP AP
Redundancy in Core Network
University of Malaya 22
Visualisation of UM Key ICT services
University of Malaya 23
RIIL helps to visualize UM Key ICT services
Visualisation of UM Key ICT services
University of Malaya 24
SNC helps monitor and troubleshootingVisualisation of UM Key ICT services
University of Malaya 25
SNC helps monitor and troubleshootingVisualisation of UM Key ICT services
University of Malaya 26
SNC helps monitor and troubleshootingVisualisation of UM Key ICT services
University of Malaya 27
Alerts for quick actions
University of Malaya 28
Better architecture design and built-in network protection Helps to prevent many common network attacks issues
Network Security
University of Malaya 29
Project Implementation
University of Malaya 30
Project Implementation
University of Malaya 31
Project Implementation
University of Malaya 32
2013: Cloud Campus Network Forum
University of Malaya 33
2013: Cloud Campus Network Forum
University of Malaya 34
Current Situation
University of Malaya 35
10 Years Ago 5 Years Ago Now
Several Hundreds Thousands
Paperless office
ERP/OA/SAP
“Cloud”/BYOD/ Big Data
Scale of IT(Networks)
IT Application
Future
Few Some Limited ?IT Staffs(Resources)
High Demand, Complex Network, Limited resources
Applications are getting complex & high volume
University of Malaya 36
How to improve these
situations ?
University of Malaya 37
UM toward Service Oriented Campus
Simplify the complex operations
Focus on Service & Value
* Based on the Gartner IT Maturity Model
University of Malaya 38
Future Plan
University of Malaya 39
1. Full campus wireless coverage
2. Unified authentication for wired & wireless
3. Improved intranet & internet service quality
4. Improve operation & maintenance efficiency
5. Featured rich Mobile Apps for campus user
Future Plan
University of Malaya 40
2016: New Data Centre
University of Malaya 41
Internet Billing and Utilisation
University of Malaya 42
Big Data Initiatives @ UM
University of Malaya 43
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
University of Malaya 44
UM Hadoop Cluster
cloudera-node1
•192.168.112.161
•Data Node
•Task Tracker
cloudera-node2
•192.168.112.162
•Data Node
•Task Tracker
cloudera-node3
•192.168.112.163
•Data Node
•Task Tracker
cloudera-node4
•192.168.112.166
•Data Node
•Task Tracker
cloudera-node5
•192.168.112.165
•Data Node
•Task Tracker
cloudera-master
• 103.x.X.X
•Name Node
•Data Node
• Job Tracker
• Task Tracker•Central Services (Hive, Hue,…)
44
UM
Hadoop P
roje
ct
University of Malaya 45
Flume for Server Logs
Web Servers
UM Hadoop Cluster
Flume
University of Malaya 46
Hadoop Cluster
• Cluster Configuration
• 1 NameNode
• 5 DataNodes
• High-Risk without Secondary NameNode
• Data Ingestion
• Flume Agents
• MapReduce Job to Ingest data
• Total Storage
• 6 TB ( ~ 1 Month of Log Data)
• Data is replicated 3 times to ensure fault-tolerance
University of Malaya 47
Overall StatusU
M H
adoop P
roje
ct
47
University of Malaya 48
HostsU
M H
adoop P
roje
ct
48
University of Malaya 49University of Malaya 49
Structured data : Sample Analytic Generated from Student Info System
University of Malaya 50University of Malaya 50
Structured data : Sample Analytic Generated from Student Info System
Significant
increase in
admission
via
Matriculations
Programmes
University of Malaya 51University of Malaya 51
Structured data : Sample Analytic Generated from Student Info System
University of Malaya 52University of Malaya 52
For Big Data Analytics, there is a
need for a resilient and excellent
Network environment
University of Malaya 53
Again,
We work together with
Ruijie towards
service oriented campus
University of Malaya 54
Ruijie-UM
showcase in
APAN
University of Malaya 55
Live demo…
University of Malaya 56
THANK [email protected]