Enabling Edge Computing Using Container Orchestration and Software Defined Networking

Loading...
Thumbnail Image
Journal Title
Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu | Master's thesis
Date
2019-10-21
Department
Major/Subject
Communications Engineering
Mcode
ELEC3029
Degree programme
CCIS - Master’s Programme in Computer, Communication and Information Sciences (TS2013)
Language
en
Pages
57+7
Series
Abstract
With software-defined wide-area networks (SD-WAN) being increasingly adopted, and Kubernetes becoming the de-facto container orchestration tool, the opportunities for deploying edge-computing applications running over a SD-WAN scenario are vast. In this context, a service discovery function will help developing a dynamic infrastructure where clients are able to seek and find particular services. Service discovery also enables a self-healing network capable of detecting the unavailable services. Most of the research in the service discovery field focuses in the discovery of cloud-based services over software-defined networks (SDN). A lack of research in containerized service discovery over SD-WAN is evident. In this thesis, an in-house service discovery solution that works alongside a container orchestrator for allowing an improved traffic handling and better user experience through containerized service discovery and service requests redirection is developed. First, a proof-of-concept SD-WAN topology was implemented alongside a Kubernetes cluster and the in-house service discovery solution. Next, the implementation's performance is tested based on the time required for discovering whether a service has been created, updated or removed. Finally, improvements in node distance computation, local breakout support and the usage of data plane programmability are discussed.
Description
Supervisor
Kantola, Raimo
Thesis advisor
Ahola, Kimmo
Keywords
edge computing, SD-WAN, virtualization, orchestration
Other note
Citation