In the ongoing digital transformation, telecommunications companies are shifting from Virtual Network Functions (VNFs) to Cloud-Native Network Functions (CNFs) to meet the demand for agile, scalable, and resilient services. Deutsche Telekom is at the forefront of this transition, moving its network services onto a self-hosted bare-metal cloud infrastructure using Kubernetes as the core platform for container orchestration.

Kubernetes, widely recognized for its robust orchestration capabilities, is the foundation of Deutsche Telekom's cloud-native strategy. However, as network services are usually complex software solutions, deploying and provisioning CNFs pose several orchestration challenges that may require additional tooling. Various tools on the market are designed to manage these orchestration complexities, but the necessity and efficiency of such tools in a Kubernetes-based environment remain an open question.

This thesis seeks to answer the following question: "Is an additional orchestration tool necessary for managing CNF deployments in Kubernetes, or can a custom Kubernetes operator effectively address these orchestration needs?". The purpose of this master's thesis is to evaluate whether a dedicated orchestration tool is needed when deploying and managing CNFs in a Kubernetes setup, where Kubernetes already acts as an orchestrator. This thesis will also explore the design and development of a Kubernetes operator as a potential alternative to using an external orchestration tool.

For more details, please check the PDF with the thesis description

Voraussetzungen

Shadow [1] is a discrete-event network simulator that directly executes real application code by co-opting native Linux processes into a high-performance network simulation. It achieves this by intercepting system calls and emulating necessary functionalities, allowing applications to operate within a simulated network environment without modification. While initially developed to model large-scale Tor networks, Shadow can also be adapted to simulate other complex systems.

The primary goal of this master’s thesis is to explore the feasibility and methodology of simulating multi-tier Kubernetes-based cloud deployments using the Shadow simulator. This involves setting up and extending Shadow to accurately represent the components and operations of a Kubernetes cluster and evaluating the performance and accuracy of this simulation approach.

[1] Jansen, R., et al. (2022). Co-opting Linux Processes for High-Performance Network Simulation. 2022 USENIX Annual Technical Conference (USENIX ATC ’22). USENIX Association. Retrieved from (https://www.usenix.org/system/files/atc22-jansen.pdf)

Voraussetzungen