Biblio
As an extension of Network Function Virtualization, microservice architectures are a promising way to design future network services. At the same time, Information-Centric Networking architectures like NDN would benefit from this paradigm to offer more design choices for the network architect while facilitating the deployment and the operation of the network. We propose $μ$NDN, an orchestrated suite of microservices as an alternative way to implement NDN forwarding and support functions. We describe seven essential micro-services we developed, explain the design choices behind our solution and how it is orchestrated. We evaluate each service in isolation and the entire microservice architecture through two realistic scenarios to show its ability to react and mitigate some performance and security issues thanks to the orchestration. Our results show that $μ$NDN can replace a monolithic NDN forwarder while being more powerful and scalable.
Microservice architectures are steadily gaining adoption in industrial practice. At the same time, performance and resilience are important properties that need to be ensured. Even though approaches for performance and resilience have been developed (e.g., for anomaly detection and fault tolerance), there are no benchmarking environments for their evaluation under controlled conditions. In this paper, we propose a generative platform for benchmarking performance and resilience engineering approaches in microservice architectures, comprising an underlying metamodel, a generation platform, and supporting services for workload generation, problem injection, and monitoring.