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The lecture explains advanced principles of computer networks based on fundamentals of the topic. The topics are protocol mechanisms, principles of implementation, network algorithms, advanced network architectures, network simulation, network measurement as well as techniques of protocol specification and verification.

For further information please see the module description.

The lecture explains advanced principles of computer networks based on fundamentals of the topic. The topics are protocol mechanisms, principles of implementation, network algorithms, advanced network architectures, network simulation, network measurement as well as techniques of protocol specification and verification.

For further information please see the module description.

The lecture explains advanced principles of computer networks based on fundamentals of the topic. The topics are protocol mechanisms, principles of implementation, network algorithms, advanced network architectures, network simulation, network measurement as well as techniques of protocol specification and verification.

For further information please see the module description.

The lecture explains advanced principles of computer networks based on fundamentals of the topic. The topics are protocol mechanisms, principles of implementation, network algorithms, advanced network architectures, network simulation, network measurement as well as techniques of protocol specification and verification.

For further information please see the module description.

The lecture explains advanced principles of computer networks based on fundamentals of the topic. The topics are protocol mechanisms, principles of implementation, network algorithms, advanced network architectures, network simulation, network measurement as well as techniques of protocol specification and verification.

For further information please see the module description.

Lehrinhalte

* Strategien effiziente Algorithmen zu entwickeln für (NP-harte) Optimierungsprobleme,

* Effiziente Implementierungen und Datenstrukturen,

* Methodiken Flaschenhälse zu identifizieren (z.B. Profilers and Benchmarks), und durch geeignete Datenstrukturen und algorithmische Techniken Performanz entsprechend zu verbessern,

* Einblick in Problemmodellierung und Lösungsmethoden wie Suchbaumalgorithmen, Datenreduktionstechniken und Vorverarbeitung, exakte, approximative und heuristische Algorithmen und Strategien basierend auf linearem Programmieren (unter Benutzung von etablierten Solvern),

* effiziente Algorithmen für NP-harte Probleme sowie andere Probleme,

* Einsatz von Softwareentwicklungs-Werkzeugen, Software-Design und -Analyse, Implementierung, Dokumentation, Evaluation und Test anhand einer praxisrelevanten Aufgabenstellung.

Nearly everybody knows and uses communication networks such as the Internet. As a computer scientist we even know how the Internet works in theory and we are able to distinguish applications like www, file transfer, e-mail as well as the related protocols. But how is the implementation realized in practice? And how do emerging paradigms such as Software-Defined Networks and network virtualization change the scene?

In this lab course (Praktikum) we will examine how routers and switches can be configured and connected to a working IP network. We will also cover software-defined and virtualized switches (e.g., Open vSwitch) as well as programmable data planes. We will carry out experiments with actual hardware and software network components. The experiments start with an introduction into the handling of the components and range from packet forwarding and routing over packet filtering, traffic shaping and VPN's up to principles of access networks. Furthermore, performance issues and network condition monitoring can be looked into.

Goal of this lab course is to intensively become acquainted with the workings of internet components, and a deep understanding of the underlying protocols. Attentive participation in this lab course is a perfect foundation for doing projects or master theses in the area of computer networking.

The goal of the seminar is to get an understanding of the fundamental theoretical and algorithmic aspects of distributed and networked systems, and their applicability in state-of-the-art and emerging technology. You will learntechniques to model, analyze and optimize networked systems, and get an understanding of emerging trends andapplications.

Given the popularity of data-driven applications (e.g., related to business, health and entertainment) and artificialintelligence, computing systems are becoming increasingly distributed and networked. This results in increasingly stringent performance and dependability requirements on such systems. In this seminar, we discuss emerging and innovative new approaches to improve the efficiency and security of distributed and networked systems. We will revisit the theoretical foundations of networked and distributed systems, the underlying fundamental algorithms and optimizations they rely on, and discuss their applicability in modern networks. We will also discuss recent proposals in the literature which aim to render distributed and networked systems more flexible and secure, and explore further optimization opportunities.

Contents: The seminar revolve around fundamental problems and design principles. A tentative outline of the main topics to becovered in the course are

* Network algorithms and theory of networking

* Distributed algorithms and optimization

* Decentralization and scalability

* Emerging networking technology and applications, and their impact on models and optimizations.