Pdf lkn

At last reliability of the release will be analyzed with the best fitting SRGM. The result of this work will be to propose a reliability metric combining SRGM and code metrics that improves the software reliability prediction. Vizarreta, K. Trivedi, B. Helvik, P. Heegaard, W. Kellerer, and C. Today's Data Center DC networks are facing increasing demands and a plethora of requirements.

Factors for this are the rise of Cloud Computing, Virtualization and emerging high data rate applications such as distributed Machine Learning frameworks. Recently several new architectures have been proposed that rely on reconfigurable optics to evolve the topology over time, such as Helios[1] or RotorNet[2]. As a consequence of these adaptable topologies, forwarding in the network changes.

Flows are migrated between different paths in the network. In addition, these paths might be of heterogeneous nature, e. Individual or grouped assessments of these protocols consider rather static [3] or more homogeneous scenarios [4].

These are not sufficient to estimate how heterogeneous mix of traffic behaves subject to frequent reconfigurations -- a neccessary information to design efficient scheduling algorithms for such reconfigurable topologies. The goal of this thesis is to evaluate this question with a measurement campaign and to provide a model to estimate the cost e. To this end, first a small scale experiment environment using programmable data planes has to be established.

In the second step, this environment is used to conduct measurements, which are the bases for the modeling. Farrington et al. Mellette et al. Jaeger, D. Scholz, D. Raumer, F. Geyer, and G. Carpa, M. Gluck, L. LefEvre, and J. IEEE, pp. Mukerjee, C. Canel, D. Kim, and S. The rapid deployment of new 5G technologies will make upgrading of current ones extremely complicated and difficult to improve and maintain. A heterogeneous network requires a more optimized and dynamic RRS approach.

In view of the development of SD-RAN controllers and artificial intelligence, new promising tools such as reinforcement learning can be proven useful for such a problem.

In this thesis, a data-driven MAC slice scheduler will be implemented, that maximizes user utility, while learning the optimal slice partitioning ratio.

A deep reinforcement learning technique will be used to evaluate the radio resource scheduling and slicing in RAN.

The results will be compared with traditional schedulers from the state-of-the-art. The following directions will be explored:. Due to the rapid increase in the number of mobile phones and other handheld devices, an enormous pressure is placed on the already overloaded cellular networks to provide the required Quality of Service. Heterogeneous networks, with multiple coexisting and collaborating technologies like 5G, WiFi, and LiFi, have emerged as a good solution to increase capacity.

Technology sovereignty has been defined as the ability of a state or a federation of states to provide the technologies it deems critical for its welfare, competitiveness, and ability to act, and to be able to develop these or source them from other economic areas without one-sided structural dependency [1].

Technology sovereignty is part of innovation and economic sovereignty. It has been classified in two categories: static and dynamic technology sovereignty.

Let us focus on the static technology sovereignty and applied to a data center. We may have to consider multipath TPC [4] and also add priorities. Bilal et al. Raiciu et al. Wang et al. Increased interference is one of the main drawbacks of cell densification, which is an important strategy for 5G networks to achieve higher data rates. Function centralization has been proposed as a strategy to counter this problem, by letting the physical or scheduling functions coordinate among one another.

The more functions are coordinated, the better their mutual interference can be avoided. Several techniques exist in this regard, ranging from coordinated scheduling to joint transmission and reception. However, experiments showing the effectiveness of implemented interference mitigation techniques under a dynamic functional split adaptation are still missing in the literature. In this thesis, the student will implement, evaluate, and optimize different strategies for mitigating interference in a mobile testbed that changes its functional split at runtime.

To this aim, learning approaches could potentially be utilized for the resource allocation in order to further improve the performance. In this thesis student will focus on designing and implementing a hierarchical SDN solution for industrial multi-domain TSN network. Age of Information AoI is defined as the elapsed time since the generation of the most recent packet. It has been used as a cross-layer metric in remote monitoring and controlling scenarios. This enables us to develop our own solutions, e.

AoI performance at the application layer. Time Sensitive Networks aim to provide for mechanisms and methods for deterministic delay and jitter in industrial networks.

Sources of delay and jitter in a TSN can be numerous, e. In this work, an existing approach to end-to-end monitoring of transmission delay and jitter will be extended to support for quick identification of source of the anomaly in a TSN scenario i.

Two or more approaches will be proposed to cater for end-to-end monitoring of TSN streams, relying on:. Any resulting overhead of the intermediary monitoring solution will be quantified for consideration in the TSN stream planning. The work will hence implement and validate the monitoring mechanisms in an existing TSN testbed that relies on a Linux-based control plane, and will optionally involve P4-based middlebox devices to serve as intermediate monitoring entities.

Recently, a scalable load balancing algorithm in the dataplane has been proposed that leverages P4 to estimate the utilization in the network and assign flows to the least utilized path. This approach can be interpreted as a form of Graham's List algorithm. The tasks of this thesis are:. Next generation mobile networks are envisioned to cope with heterogeneous applications with diverse requirements. To this end, 5G is paving the way towards more scalable and higher performing deployments.

This will be crucial towards the evaluation of the Core network both in terms of scalability and performance. In this thesis, the student shall understand the 5G standardization, especially the control plane communication between the RAN and 5G Core. Further, an initial RAN function compatible with the 5G standards shall be implemented and evaluation of control plane performance will be carried out. Optical core networks deploy fixed grid in order to accommodate their demands.

The trend is however, migrate towards flexgrid networks able to use as much spectrum as required by the demand allowing a better use of the spectrum. However, the Routing and Wavelength Assignment RWA paradigm becomes more complex as it has to find the suitable spectrum of the demand. This thesis will consider different multiplexing alternatives: space division, band division multiplexing, etc.

The objective is to compare the performance, throughput, BoM, etc. In this internship we look at different reinforcement and deep learning approaches to tackle the RMSA problem in elastic optical networks. The student should find suitable tracepoints to execute a NN in the downstream path of the Linux networking stack. The student should then evaluate the throughput and latency that can be achieved with a Neural Network.

Further, the impact of the size of the Neural Network on the throughput and latency should be evaluated. The topic is related to human blockage modeling in 5G and beyond systems. We would like to model blockages and evaluate their impact on user quality of service because having a line of sight is very important for communication technologies that use high frequencies such as LiFi and mmWaves.

The loss of line of sight leads to frequent handovers, which in turn result in a data transmission interruption. Energy efficiency is one of the key performance requirements in the 5G network to ensure user experience.

A portion of devices, especially the Industrial Internet of Things IIoT , run on limited energy, supported by the batteries not placed over the lifetime. Therefore, the estimation of the power consumption and battery lifetime has recently received increased attention. Multiple context parameters, such as mobility and traffic arrivals, impact the device's power consumption. In this thesis, the student shall focus on analysing the impact of different traffic models on the power consumption of user equipment.

Different source and aggregated traffic models will be implemented depending on the number of devices n the scenario. The implemented traffic models will be evaluated based on a context-aware power consumption model for the user equipment. Using the TAS feature of TSN, a pre-planned transmission schedule with dedicated time slots for critical traffic, very small end-to-end latency, and jitter can be guaranteed.

However, it has several drawbacks, such as algorithm complexity to compute a conflict-free schedule, non-trivial re-configuration at runtime, strict requirements on clock synchronization across the whole network.

As many use cases do not need the outstanding performance of a TAS-scheduled network, and many legacy end stations and applications are not capable of sending packets at a pre-planned point in time, the topic of this research internship is to elaborate on the performance of a strict priority-based network — which behaves deterministic, if the traffic patterns, i. The goal of this internship is to implement and evaluate an algorithm that computes the worst-case delay for given streams, considering the current network topology and data flow already present in the network.

In the future, more data will be transmitted wirelessly, especially in aircraft cabins. However, cabin channel models are scarce especially for LiFi. Therefore, we have developed a 3D structure of an aircraft cabin in blender. The next step is to develop a statistical description of channel model by adapting an existing raytracing engine such as LuxCore. Nevertheless, the capacity of the fronthaul network limits the feasibility of this strategy, as the throughput required to connect low level functions is very high.

Fortunately, since not every function benefits in the same way from centralization, a more flexible approach can be used. Instead of centralizing all functions, only those providing the highest amount of interference mitigation can be centralized. In addition, the centralization level, or functional split, can be change during runtime according to the instantaneous network conditions.

Nonetheless, it is not fully know how costly it is to deploy and operate a network implementing a dynamic functional split. In this internship, the cost of a radio access network implementing a dynamic functional split will be evaluated.

A simulator already developed at LKN will be used and extended to produce network configurations adapted to the instantaneous user position and activity. Then, off-the-shelf cost models will be improved and used to estimate the deployment and operating cost of the network under multiple scenarios.

Furthermore, the conditions on which a dynamic functional split is profitable will be investigated. Improvements on the functional-split selection algorithm will be proposed, such that the operator benefits from enhanced performance without operating at exceedingly costly states. Finally, a model that takes into account the cost of finding and implementing a new functional split will be employed and its results compared to the previous results. The Optical Networking Industry now aims to move into a disaggregated transport network use case, so that operators can reduce operation costs and deploy open solutions for management and control of such networks.

In this internship, a student will deploy such a testbed integrated with LKN's in-house network planner and then conduct measurements to provide first insights into Online Optical Network Planinng. In electronics and telecommunication, jitter is a significant and an undesired factor.

The effect of jitter on the signal depends on the nature of the jitter. It is important to sample jitter and noise sources when the clock frequency is especially prone to jitter or when one is debugging failure sources in the transmission of high speed serial signals.

Managing jitter is of utmost importance and the methods of jitter decomposition have changed comparably over the past years. It is difficult to get Random Jitter on a spectrogram. Also to understand how well the jitter decomposition and identification is there. As the architecture of the 5G Core has already been standardized and it is fundamentally different from the previous generations, a question rises regarding the efficiency of the communication mechanisms that will be used for the communication between Network Functions NFs inside the 5G Core Network.

The goal of this thesis is the classification of packet-level traces using Markov- and Hidden Markov Model.

The scenario is open-world: Traffic of specific web applications should be distinguished from all possible web-pages background traffic. In addition, several pages should be differentiated. This research internship looks at Quanktum Key Distribution exchange in a wide area pan-European network. Different architectures, routing and spectrum allocation methods need to be considered, keeping in mind both technological and economic constraints of such a combined deployment.

This work is helpful for Optical Networking as well as satellite network providers in order to provide secure data transmissions over large region multi-national governmental organizations, banks and security agencies. The architecture of 5G radio access networks features the division of the base station gNodeB into a centralized unit CU and a distributed unit DU.

This division enables cost reduction and better user experience via enhanced interference mitigation. Recent research proposes the posibility to modify this functional split dynamically, that is, to lively change the functions that run on the CU and DU.

This has interesting implications at the network operation. In this topic, the student will employ a dedicated simulator developed by LKN to characterize the duration and transition rates of each functional split under multiple variables: population density, mitigation capabilities, mobility, etc.

This characterization may be used then on traffic models to predict the network behavior. These data-models enable optical network operators and software integrators to use open-source SDN controllers to discover, control and configure optical line systems. The SDN controller shall be further interfaced with an in-house network planning and orchestration engine to facilitate online configuration of lightpaths.

Internetkommunikation offers the opportunity to develop interesting software solutions for technical questions about internet protocols and mechanisms. For the next semester, a position is available to assist the teaching assistants for the tutorials and class project. Future IoT will need wireless links with high data rates, low latency and reliable connectivity despite the limited radio spectrum. Connected lighting is an interesting infrastructure for IoT services because it enables visible light communication VLC , i.

This work will aim at developing a tool to perform an economic evaluation of the proposed solution in the particular case of a smart office.

The lecture Broadband Communication Networks Prof. In order to bridge the gap between the methods and real life, innovative teaching concepts shall be developed in form of short podcasts where the students learn in short episodes about wireless communication and networking in day to day scenarios.

In the podcasts the student should also be introduced to short exercises they can perform on their own. In order to support designing these podcasts Pro. Kellerer is looking for a student experienced in programming and maybe in podcasts to help him. For the next semester, a position is available to assist the teaching assistants for the lab definition and preparation of the assignments, preparation of the hardware, etc.

Home Student Thesis Our student theses. Open thesis as PDF. Strong analytical background. Arled Papa. References: [1] Where has my time gone? Joint optimization of caching and slicing for In Flight Entertainment and Connectivity Services Description 5G Networks are anticipated to support the tremendous growth in the traffic demands and the heterogeneity of future applications. Also included are recipes that list what you need to do to accomplish a wide range of popular tasks. To quote me, the author of the book: If you want to know how to build, configure, and install a custom Linux kernel on your machine, buy this book.

It is written by someone who spends every day building, configuring, and installing custom kernels as part of the development process of this fun, collaborative project called Linux. I'm especially proud of the chapter on how to figure out how to configure a custom kernel based on the hardware running on your machine. This is an essential task for anyone wanting to wring out the best possible speed and control of your hardware. This book is intended to cover everything that is needed to know in order to properly build, customize, and install the Linux kernel.

No programming experience is needed to understand and use this book. Some familiarity with how to use Linux, and some basic command-line usage is expected of the reader. This book is not intended to go into the programming aspects of the Linux kernel; there are many other good books listed in the Bibliography that already cover this topic.

I want this book to help bring more people into the Linux kernel development fold. The act of building a customized kernel for your machine is one of the basic tasks needed to become a Linux kernel developer.

The more people that try this out, and realize that there is not any real magic behind the whole Linux kernel process, the more people will be willing to jump in and help out in making the kernel the best that it can be.

That means that you are free to download and redistribute it.