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| Academic Year |
2024/2025 |
| Name |
Dott. - MI (1380) Ingegneria dell'Informazione / Information Technology |
| Programme Year |
1 |
| ID Code |
062773 |
| Course Title |
EDGE NETWORK SOFTWARIZATION: ARCHITECTURES AND APPLICATIONS |
| Course Type |
MONO-DISCIPLINARY COURSE |
| Credits (CFU / ECTS) |
5.0 |
| Course Description |
DETAILED CONTENT.
Module 1-Shifting Network Control from Core to Edge.
In this module, we delve into the evolution of traditional WAN services like Frame Relay (FR), Asynchronous Transfer Mode (ATM), Carrier Ethernet (CE), and Multi-Protocol Label Switching (MPLS). We then investigate the limitations of these legacy systems and introduce the concept of SD-WAN. Moving forward, we explore the architecture and design of SD-WAN, covering aspects such as control plane management (gRPC, NETCONF, REST APIs), overlay networking (VxLAN, IPSec, GRE), and orchestration plane functionalities.
Module 2-Edge-Based Traffic Engineering.
Module two focuses on Traffic Engineering (TE) techniques within the SD-WAN control plane. Students will gain insights into the fundamental components required to construct a TE algorithm, including: 1) traffic classification methods based on traditional and AI-based approaches; 2) performance metrics, such as end-to-end delay, packet loss, estimated bandwidth, etc.; 3) policy-based routing with dynamic path selection, load balancing, failover and resiliency strategies.
Module 3-Edge Network Observation and Monitoring.
This module delves into the various monitoring methodologies tailored for the edge. It offers an extensive examination of SD-WAN monitoring, encompassing active, passive, and hybrid solutions, alongside their role in maintaining network robustness and efficiency. Additionally, we explore network telemetry techniques leveraging In-band Network Telemetry (INT).
Module 4-Building SD-WAN Solutions.
Testing and evaluating SD-WAN deployments are fundamental steps to ensure seamless transitions and optimal network performance. Module four concentrates on constructing an SD-WAN simulator, enabling students to replicate real edge network behaviors. Through this simulation, students can experiment with diverse configurations, test traffic patterns, and evaluate the impact of changes without disrupting live networks.
Module 5-Use Cases and Research Challenges.
This module investigates various use cases spanning sectors such as Education, E-health, Environmental surveillance, and more, highlighting the relevance of Use Case-Driven edge networking solutions. Additionally, we address key research challenges shaping the future of SD-WAN implementations.
EXPECTED LEARNING OUTCOME.
Familiarize with edge networks softwarization with SD-WAN, understanding the design principles and main architectures. Exploit advanced TE algorithms to manage service traffic at the edge. Identify the main strategies for edge network monitoring, focusing in particular on active, passive and hybrid approaches. Understand how to apply theoretical concepts to solve real-world networking problems. Through hands-on exercises and simulations, students will gain practical experience in building and testing SD-WAN deployments. |
| Scientific-Disciplinary Sector (SSD)
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SSD Code
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SSD Description
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CFU
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ING-INF/03
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TELECOMMUNICATIONS
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5.0
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Alphabetical group
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Name
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Teaching Assignment Details
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From (included)
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To (excluded)
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A
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ZZZZ
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Troia Sebastian
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