Networking for Big Data and Laboratory
Professor: Antonio Cianfrani & Andrea Baiocchi
Degree in: Master Degree in Data Science
Semester: II
Mailing list:
Lectures Time
Academyc Year 2021-2022
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Monday 15:00 - 17:00 (classroom B2 - building RM102 - via Ariosto 25)
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Tuesday 15:00 - 19:00 (classroom 15 - building CU035 - piazzale Aldo Moro 5)
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Friday 12:00 - 14:00 (classroom 15 - building CU035 - piazzale Aldo Moro 5)
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The Zoom parameters for the lectures of Prof. Cianfrani are:
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Link: https://uniroma1.zoom.us/j/83505535814?pwd=ZXQ4OWxTNHcxR2w2aGhuRzU2cytiZz09
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ID: 835 0553 5814
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Passcode: 210440
Course website Moodle (Prof. Cianfrani): https://elearning.uniroma1.it/course/view.php?id=14634
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The Zoom parameters for the lectures of Prof. Baiocchi :
Link:
Meeting ID:
Passcode:
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Office Hours
Prof. Antonio Cianfrani - Office hours will take place on Thursday from 3 pm to 4 pm. It is possible to fix videocalls in different days sending an email to antonio.cianfrani@uniroma1.it
Prof. Andrea Baiocchi - Office hours will be provided online on Monday morning (from 11:00 to 12:00). It is possible to arrange dedicated Skype calls sending an email to andrea.baiocchi@uniroma1.it
Prerequisite
A basic understanding of programming logic. Basics of probability and statistics. Basics of matrix algebra.
Outline of the Course
Module 1. NETWORKING FUNDAMENTALS
- TCP/IP protocol stack
- Transport layer: TCP and UDP
- IP layer: addressing and routing
- Link layer: forwarding
- Virtual LAN (VLAN)
- Virtual eXtensible LAN (VXLAN)
- Locator/Identifier Separation Protocol (LISP)
- Software Defined Networking (SDN)
- Network Monitoring (IPFIX)
- Application layer: HTTP and DNS
- Lab activity: IP network emulator (Netkit) and packet sniffing (Wireshark)
Module 2. DATA CENTERS
- Outline of cloud computing.
- Data centers architectures, topologies, addressing, routing.
- Job scheduling and load balancing.
- Congestion control (QCN, DCTCP).
Course Object
The first aim of the Networking for Big Data and Laboratory course is to provide students the principles of Internet networking. The course also focuses on recent advances in networking protocols to efficiently support Distributed Data Centers infrastructures. Finally, Data Center architecture is presented and two major issues are investiaged with some detail, namely scheduling and congestion control. The course has also a practical part, mainly devoted to IP and SDN networks configuration and troubleshooting.
Teaching Material
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Schedule of classes, slides and bibliographic material for the Data Center module of NBD can be found here.
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Bibliography
James F. Kurose and Keith Ross, “Computer Networking: A Top-Down Approach Featuring the Internet”, Pearson
Netkit Emulator, Netkit Documentation page
Additional material provided by the lecturer on the Data Centers
Software Defined Networking - a survey