SEAMS 2024
Mon 15 - Tue 16 April 2024 Lisbon, Portugal
co-located with ICSE 2024

This paper introduces RAMSES, an exemplar tailored for both practitioners and researchers working on self-adaptive microservice applications. By emphasizing a clear separation of concerns between the application and its adaptation logic, RAMSES realizes a reusable autonomic manager that implements a MAPE-K feedback loop whose components are microservices themselves. Its primary focus lies in addressing user-defined QoS attributes at runtime, like availability and performance. To illustrate its usage, we provide a practical example showing its mechanics in an e-food microservice application. Initial experiments indicate the advantages of utilizing ArtifactName, as shown by a comparative analysis of the quality properties of a microservice application with and without self-adaptation.

Tue 16 Apr

Displayed time zone: Lisbon change

14:00 - 15:30
Session 7: SAS ApplicationsResearch Track / Artifact Track at Luis de Freitas Branco
Chair(s): Ilias Gerostathopoulos Vrije Universiteit Amsterdam
14:00
25m
Talk
Patterns of Applied Control for Public Health Measures on Transportation Services under EpidemicFULL
Research Track
Kenneth Johnson Auckland University of Technology, Samaneh Madanian Auckland University of Technology, Catia Trubiani Gran Sasso Science Institute
14:25
15m
Talk
An Artifact Exemplar for Engineering Self-Adaptive Microservice ApplicationsARTIFACT
Artifact Track
Vincenzo Riccio Politecnico di Milano, Giancarlo Sorrentino Politecnico di Milano, Ettore Zamponi Politecnico di Milano, Matteo Camilli Politecnico di Milano, Raffaela Mirandola Karlsruhe Institute of Technology (KIT), Patrizia Scandurra University of Bergamo, Italy
Media Attached
14:40
15m
Talk
Self-adaptive, Requirements-driven Autoscaling of MicroservicesSHORT
Research Track
João Paulo Karol Santos Nunes IBM Brazil and University of São Paulo, Shiva Nejati University of Ottawa, Mehrdad Sabetzadeh University of Ottawa, Elisa Yumi Nakagawa University of São Paulo
Pre-print
14:55
15m
Talk
GreenhouseDT: An Exemplar for Digital TwinsARTIFACT
Artifact Track
Eduard Kamburjan University of Oslo, Riccardo Sieve University of Oslo, Chinmayi Prabhu Baramashetru University of Oslo, Marco Amato University of Turin, Gianluca Barmina University of Turin, Eduard Occhipinti University of Turin, Einar Broch Johnsen University of Oslo
15:10
15m
Talk
Latency-aware RDMSim: Enabling the Investigation of Latency in Self-Adaptation for the Case of Remote Data MirroringARTIFACT
Artifact Track
Sebastian Götz Technische Universität Dresden, Nelly Bencomo Durham University, Huma Samin Durham University