Predicting or Repairing? Tips for Software Performance
Speaker: Catia Trubiani
Gran Sasso Science Institute (GSSI), L’Aquila, Italy
DEIB - Beta Room (Bld. 24)
June 11th, 2024 | 2.30 pm
Contact: Prof. Luciano Baresi
Research Line: Advanced software architectures and methodologies
Gran Sasso Science Institute (GSSI), L’Aquila, Italy
DEIB - Beta Room (Bld. 24)
June 11th, 2024 | 2.30 pm
Contact: Prof. Luciano Baresi
Research Line: Advanced software architectures and methodologies
Sommario
On June 11th, 2024 at 2.30 pm Catia Trubiani, Professor at Gran Sasso Science Institute (GSSI), L’Aquila, Italy, will give a seminar on "Predicting or Repairing? Tips for Software Performance" in DEIB Beta Room (Building 24).
Anticipating the performance degradation of complex software systems is not trivial, even more so when systems are exposed to multiple sources of uncertainty, e.g., heterogeneous workloads leading to fluctuations in resource demands. The goal of this talk is to present some tips on how to interpret the performance analysis results with the goal of predicting software performance degradation and avoiding expensive repair actions.
Recent results on real-world java applications and microservices will be presented, along with some challenges and open research directions.
Catia Trubiani is Associate Professor at the Gran Sasso Science Institute (GSSI), Italy. Among various national and international projects, she recently received funding by the call MUR-PRIN'22 under the Young Line action, and acting as scientific coordinator of the project. Her main research interests include the quantitative modelling and analysis of interacting heterogeneous distributed systems. More information: https://cs.gssi.it/catia.trubiani
Anticipating the performance degradation of complex software systems is not trivial, even more so when systems are exposed to multiple sources of uncertainty, e.g., heterogeneous workloads leading to fluctuations in resource demands. The goal of this talk is to present some tips on how to interpret the performance analysis results with the goal of predicting software performance degradation and avoiding expensive repair actions.
Recent results on real-world java applications and microservices will be presented, along with some challenges and open research directions.
Catia Trubiani is Associate Professor at the Gran Sasso Science Institute (GSSI), Italy. Among various national and international projects, she recently received funding by the call MUR-PRIN'22 under the Young Line action, and acting as scientific coordinator of the project. Her main research interests include the quantitative modelling and analysis of interacting heterogeneous distributed systems. More information: https://cs.gssi.it/catia.trubiani