%0 Conference Proceedings
%T Microservice Dynamic Architecture-Level Deployment Orchestration
%+ Alma Mater Studiorum Università di Bologna = University of Bologna (UNIBO)
%+ Foundations of Component-based Ubiquitous Systems (FOCUS)
%+ University of Southern Denmark (SDU)
%A Bacchiani, Lorenzo
%A Bravetti, Mario
%A Giallorenzo, Saverio
%A Mauro, Jacopo
%A Talevi, Iacopo
%A Zavattaro, Gianluigi
%< avec comité de lecture
%B COORDINATION 2021 - 23rd IFIP WG 6.1 International Conference Coordination Models and Languages, Held as Part of the 16th International Federated Conference on Distributed Computing Techniques
%C Valletta / Virtual, Malta
%Y Ferruccio Damiani
%Y Ornela Dardha
%I Springer International Publishing
%3 Coordination Models and Languages
%V LNCS-12717
%P 257-275
%8 2021-06-14
%D 2021
%R 10.1007/978-3-030-78142-2_16
%Z Computer Science [cs]/Programming Languages [cs.PL]Conference papers
%X We develop a novel approach for run-time global adaptation of microservice applications, based on synthesis of architecture-level reconfiguration orchestrations. More precisely, we devise an algorithm for automatic reconfiguration that reaches a target system Maximum Computational Load by performing optimal deployment orchestrations. To conceive and simulate our approach, we introduce a novel integrated timed architectural modeling/execution language based on an extension of the actor-based object-oriented Abstract Behavioral Specification (ABS) language. In particular, we realize a timed extension of SmartDeployer, whose ABS code annotations make it possible to express architectural properties. Our Timed SmartDeployer tool fully integrates time features of ABS and architectural annotations by generating timed deployment orchestrations. We evaluate the applicability of our approach on a realistic microservice application taken from the literature: an Email Pipeline Processing System. We prove its effectiveness by simulating such an application and by comparing architecture-level reconfiguration with traditional local scaling techniques (which detect scaling needs and enact replications at the level of single microservices). Our comparison results show that our approach avoids cascading slowdowns and consequent increased message loss and latency, which affect traditional local scaling.
%G English
%Z TC 6
%Z WG 6.1
%2 https://inria.hal.science/hal-03338602/document
%2 https://inria.hal.science/hal-03338602/file/coordination2021_md.pdf
%L hal-03338602
%U https://inria.hal.science/hal-03338602
%~ INRIA
%~ INRIA-SOPHIA
%~ INRIASO
%~ INRIA_TEST
%~ TESTALAIN1
%~ IFIP-LNCS
%~ IFIP
%~ INRIA2
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-1
%~ IFIP-COORDINATION
%~ UNIV-COTEDAZUR
%~ IFIP-LNCS-12717