Introduction lecture to advanced computer networks

1. ADVANCEDCOMPUTERNETWORKS
SECTIONA:2022-23
FACULTY:DR.S.SRIDEVI,ASSOCIATEPROF
1

2. AGENDA
1. COURSE – MILESTONES
2. PRE-REQUISITE
3. COURSE OUTCOMES
4. SYLLABUS
5. REFERENCE
6. DOMAIN COURSES
7. JOB OPPORTUNITIES
8. GATE EXAM - ROLE OF
SS COURSE
2

3. CO III
Prospects of AI & ML
algorithms to Network
management, security &
data analysis
CO I
Conventional and
Software Defined
Networking
CO II
Implementation of
SDN in Mininet
Course
Milestones
21AIE302 – ADVANCED COMPUTER
NETWORKS
Faculty: Dr.S.Sridevi
3

4. PRE-REQUISITE
INTRODUCTION TO COMPUTER NETWORKS
4

5. Course Outcomes
CO
Nos.
Course Outcomes
Level of learning
domain
CO1
Understand the fundamentals of conventional
networking and software defined networking
K2
CO2
Implement software defined networks using
Mininet and raspberrypi
K4
CO3
Understand network management and security in
software defined networks and network data
analysis using AI and ML algorithms
K3
5

6. Concept map 6

7. BASIC COMPONENTS – LAN AND WAN
7
BASIC NETWORK CONCEPTS AND COMPONENTS
https://afrozahmad.com/blog/ethernet-switch-vs-hub-vs-router/

8. NETWORK LAYERING – This technique
decomposes the problem which could be
addressed modularly
8
FUNDAMENTALS OF COMPUTER NETWORKS

9. LAYER PROCESSING
9

10. ADDRESSING THE NODE
10
FUNDAMENTALS OF COMPUTER NETWORKS

11. INTERNET PROTOCOLS
11

12. Software Defined
Networking
Software Defined Networking 12
Software-Defined Networking (SDN) is an approach to networking that uses
software-based controllers or application programming interfaces (APIs) to
communicate with underlying hardware infrastructure and direct traffic on a
network.
The dumb hardware controllers performs the task
determined and commanded by the intelligent controllers
Separation of Control plane
and Data plane

13. 13
Software Defined Networking

14. 14
Prospects of AI & ML in network management &
security

15. 15
Prospects of AI & ML in network management &
security

16. TEXT BOOKS
Text Books:
1. ‘Foundations of modern networking: SDN, NFV, QoE, IoT, and Cloud’, Stallings,
W, Addison-Wesley Professional, 2015
2. ‘Software defined Networking with OpenFlow’, Siamak Azodolmolky, PACKT
publishers, 2017
3. ‘Computer Networking – A top-down approach’, J. Kurose, 7th Edition, Pearson,
2017
16

17. Experiential learning
• Mininet based programming
• Python programming
• Mininet Wifi based programming
• Jupyternotebook / python programming
17

18. Online teaching tools andActivities
Online tools
• Mininet software in
Ubuntu/Linux OS
• Python software
• Anaconda or Colab
Activity Learning
• One minute paper
• Virtual Gallery walk
• Interactive content
• Quiz / Polling
• Peer seminar presentation
• Problem solving
• Zigsaw puzzle
• Experiential learning
• Flipped classroom
TOOLS 18

19. Network topologies
SDN concepts
Introduction to Machine Learning & Artificial Intelligence
Sequential Learning
19