AIPerf fosters the usage of data-driven (such as probabilistic methods, machine learning, and deep learning) and optimization-based approaches to control and predict the performance of computer systems. Indeed, despite their success in different domains, AI and optimization-based techniques are still rarely adopted to manage the performance of ICT systems. This is primarily due to the lack of specialized solutions that cause an undue burden (in terms of data, time, and expertise) required to make such systems work. AIPerf aims to bring together practitioners from performance engineering, control theory, optimization, and machine learning communities to promote the dissemination of research works on novel techniques for quantitative analysis and optimization of ICT systems.
For this edition, recognizing the strong correlation between the topics, AIPerf is combined with the 1st Workshop on Performance Optimization in the LLM World. We believe that this fusion could offer mutual benefits to the audiences of both workshops, stimulating paper dissemination and fostering fruitful collaborations.

Call for Papers

We solicit two tracks of submission:


AIPerf 2024 welcomes submissions reporting methodological and practical research that advances and promotes the usage of Artificial Intelligence for the performance evaluation of ITC systems. The list of topics includes (but is not limited to):

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Important Dates

Deadlines are at Midnight (AoE)


Program Committee