Microservice Dynamic Architecture-Level Deployment Orchestration

We develop a novel approach for run-time global adaptation of microservice applications, based on synthesis of architecture-level reconfiguration orchestrations. In particular, we devise an algorithm for automatic reconfiguration that reaches a target system maximum computational load by performing optimal deployment orchestrations. To present our approach we use the high-level object-oriented probabilistic/timed specification language Abstract Behavioral Specification (ABS).With ABS we model microservice applications and virtual machines, we synthesize deployment orchestrations and we simulate them. In particular, we conceive the orchestration language time model so to encompass: microservice deployment time and virtual machine speed based on cpu cores that are actually being used. We evaluate the applicability of our approach on a realistic microservice application taken from the literature: an Email Pipeline Processing System. We show its effectiveness by simulating such an application and by comparing architecture-level reconfiguration with traditional local scaling techniques (detecting scaling needs and enacting replications at the level of single microservices). Our comparison results show that our approach avoids cascading slowdowns and consequent increased message loss and latency that affect traditional local scaling.