SPECIAL SESSION #2
Performance Evaluation in the Era of Heterogeneous Continuum Cloud Computing
ORGANIZED BY
Daniele Tessera
Daniele Tessera
Universita' Cattolica del Sacro Cuore, Italy
Enrico Barbierato
Enrico Barbierato
Universita' Cattolica del Sacro Cuore, Italy
Andrea Pozzi
Andrea Pozzi
Universita' Cattolica del Sacro Cuore, Italy
ABSTRACT
Continuum Cloud computing technologies are being used at present to deploy a large variety of sophisticated services and applications characterized by different service level requirements. To satisfy these requirements as well as to match application scenario expectations, it is necessary to measure, assess, and predict the performance of these complex technological infrastructures and their workloads. The peculiarities of these technologies and variability of the workload intensity and characteristics open new performance challenges, for example, dealing with dynamic resource provisioning under uncertainty, workload forecasting, load distribution, data-flow scheduling, as well as security and reliability issues. Methodologies, techniques, and tools for performance evaluation have to cope with these challenges.
TOPICS
This Special Session is soliciting contributions presenting state-of-the art, original solutions or case studies in the field of performance evaluation of Continuum Cloud computing infrastructures and services. Topics of interest include but are not limited to:
- Monitoring;
- Benchmarking;
- Workload characterization;
- Modeling;
- Simulation;
- Security and reliability.
ABOUT THE ORGANIZERS
Daniele Tessera received the Ph.D. degree in Computer Engineering from the University of Pavia, Italy. He is currently an Associate Professor of computer science with the Department of Mathematics and Physics, Università Cattolica del Sacro Cuore, Italy. His research interests include performance debugging and benchmarking, workload characterization, cloud computing, and artificial intelligence applications. He is co-author of more than 40 papers in international journals and conference proceedings.
Enrico Barbierato is an Assistant Professor in Data Science at Dipartimento di Matematica e Fisica, Università Cattolica del Sacro Cuore, Brescia, Italy. He worked for 25 years in IT consulting for the Banking, Telecommunications, and Energy&Utilities industries.
His research interests include performance evaluation through multiformalism and ethical AI.
Andrea Pozzi obtained a Bachelor's Degree in Industrial Engineering and a Master's Degree in Electrical Engineering in 2015 and 2017, respectively, both at the University of Pavia, where he also completed a Ph. D. Course in Electronics, Informatics and Electrical Engineering in 2021. He has been visiting scholar at the TU Braunschweig in 2016 and at the UC Berkeley in 2019. Since January 2022, he is an Assistant Professor in Machine Learning at the Faculty of Mathematical, Physical and Natural Science, Catholic University of Sacred Heart, Brescia, Italy. Finally, it is worth noticing that Dr. Pozzi has been appointed "Alfiere del Lavoro" by the President of the Italian Republic Giorgio Napolitano, being one of the best 25 student of 2012. He also completed the high-school in only 4 years instead of 5 as usual in Italy.
His research interests include Reinforcement Learning, Imitation Learning, Machine Learning, Approximate Dynamic Programming, Advanced Control Theory and Natural Language Processing.
