The Fourth Conference on System and Service Quality - QualITA, June 25-26, 2025, Catania, Italy.

Supported by the CINI WG on SSQ, by University of Messina, and by University of Catania. Hosted within the 39th International Conference on Modelling and Simulation, ECMS25, in Catania, Sicily, Italy at the Monastery of San Nicolò l’Arena.

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Overview

The fourth Italian Conference on System and Service Quality (QualITA 2025) is the annual event of the CINI System and Service Quality Working Group. Its main goal is to put together Italian researchers, practitioners and professionals from academia, industry and public administration interested in qualities of computing systems such as performance, dependability, trustworthiness, efficiency, resilience, sustainability, and others. The conference will be structured into different research tracks, selected keynote speeches and some panels on related topics.

QualITA 2025 (QI25) aims to highlight quality aspects, considering the complex, heterogeneous, multidisciplinary environment in which modern computing systems operate, together with their application domains, characterized by an increasing demand of resilient and sustainable solutions that should also meet efficiency as well as time-constrained requirements.

Topics

Technologies such as Cloud computing, IoT, 5G networks, Big Data, and AI have started becoming mature enough, turning the peak of inflated expectations and disillusionment towards effective solutions into enlightenment. To move further towards the plateau of productivity, the focus switches from functional to non-functional aspects, from mechanisms to qualities and policies for their enforcement, and from a proof of concept or prototype to a product or service. Therefore, techniques and tools to deal with quality aspects in the design, implementation, and assessment of computing systems become essential to support such process. QI25 will explore methodological and practical aspects of qualities, ranging from modelling and design techniques to evaluation tools and case studies. It will also investigate related domains such as cloud, edge, IoT, intelligent systems, cyber-physical systems, high-performance computing, blockchain, and similar.

  1. Performance Modeling and Dependability
    • Analytical and simulation-based performance modeling
    • Scalability analysis and bottleneck detection
    • Reliability, availability, and maintainability modeling
    • Stochastic modeling of complex systems
    • Performance-aware system design
    • Modeling energy-performance trade-offs
    • Dependability in cyber-physical systems
  2. Cloud and Edge Computing
    • Resource allocation and orchestration in cloud/edge
    • Serverless and Function-as-a-Service (FaaS) performance
    • Security and privacy in cloud-edge continuum
    • Energy-efficient edge computing architectures
    • Virtualization and container orchestration (e.g., Kubernetes)
    • Data placement and consistency in edge-cloud systems
  3. Tools and Frameworks
    • Benchmarking and performance testing tools
    • Simulation and emulation environments
    • Model-driven engineering frameworks
    • Tool support for debugging and profiling distributed systems
    • Scalable data analytics platforms
    • Open-source frameworks for system dependability analysis
    • Visualization tools for system metrics and logs
  4. Artificial Intelligence / Machine Learning
    • ML for system optimization and anomaly detection
    • Explainable and trustworthy AI systems
    • AI model serving and deployment at scale
    • AutoML frameworks and performance tuning
    • Bias, fairness, and robustness in AI systems
    • ML-driven predictive maintenance and reliability
  5. Metrics
    • Standardized metrics for performance and dependability
    • New metrics for edge and hybrid environments
    • QoS/QoE metrics for end-user experience
    • Security and resilience quantification
    • Benchmarking metrics for AI/ML workloads
    • Multi-objective performance indicators
    • Data metrics (Vs, agility, features, …)
    • AI metrics (accuracy, …, fairness, sustainability explainability)
    • NLP MM metrics
    • Bioinformatic metrics

Call for Contributions

Program

Venue and travel information

Registration

Organizers