Tool Support for the Adaptation of Quality of Service Trade-Offs in Service- and Cloud-Based Dynamic Routing Architectures.

Dynamic routing is an essential part of service- and cloud-based applications. Routing architectures are based on vastly different implementation concepts, such as API Gateways, Enterprise Service Buses, Message Brokers, or Service Proxies. However, their basic operation is that these technologies dynamically route or block incoming requests. This paper proposes a new approach that abstracts all these routing patterns using one adaptive architecture. We hypothesize that a self-adaptation of the dynamic routing is beneficial over any fixed architecture selections concerning reliability and performance trade-offs. Our approach dynamically self-adapts between more central or distributed routing to optimize system reliability and performance. This adaptation is calculated based on a multi-criteria optimization analysis. We evaluate our approach by analyzing our previously-measured data during an experiment of 1200 h of runtime. Our extensive systematic evaluation of 4356 cases confirms that our hypothesis holds and our approach is beneficial regarding reliability and performance. Even on average, where right and wrong architecture choices are analyzed together, our novel architecture offers 9.82% reliability and 47.86% performance gains.