P38 Role of conventional magnetic resonance imaging in the evaluation of patients with neuropsychiatric involvement in systemic lupus erythematosus (SLE)
P39 Analysis of nailfold capillaroscopy findings and clinical features of patients with systemic lupus erythematosus and pulmonary arterial hypertension
Scaling Behaviors at Quantum and Classical First-Order Transitions
RAMSES: an Artifact Exemplar for Engineering Self-Adaptive Microservice Applications
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 RAMSES, as shown by a comparative analysis of the quality properties of a microservice application with and without self-adaptation.