Research
Cloud computing and Distributed Systems
My research in cloud computing focuses mostly on resource allocation problems, with specific attention to vertical and horizontal elasticity. More recently, I started working on IoT for industrial cloud, and data streaming
Selected publications
- Papadopoulos et al. Methodological Principles for Reproducible Performance Evaluation in Cloud Computing. TSE 2021.
- Papadopoulos et al. PEAS: A Performance Evaluation Framework for Auto-Scaling Strategies in Cloud Applications. TOMPECS 2016.
- Papadopoulos et al. Control-Based Load-Balancing Techniques: Analysis and Performance Evaluation via a Randomized Optimization Approach. Control Engineering Practice, 2016.
- Ilyushkin et al. An Experimental Performance Evaluation of Autoscaling Algorithms for Complex Workflows. TOMPECS 2018
- Papadopoulos, A. V., & Maggio, M. Virtual Machine Migration in Cloud Infrastructures: Problem Formalization and Policies Proposal. In IEEE 54th Annual Conference on Decision and Control (CDC), 2015.
Main collaborators
- Karl-Erik Årzén (Lund University, Sweden)
- Martina Maggio (Saarland University, Germany/Lund University, Sweden)
- Erik Elmroth (Umeå University, Sweden)
- Marina Papatriantafilou (Chalmers University of Technology, Sweden)
- Philippas Tsigas (Chalmers University of Technology, Sweden)
- Alexandru Iosup (Vrije Universiteit Amsterdam, The Netherlands)
- Hongyu Pei-Breivold (ABB/MDH)
- Luis Tomas Bolivar (RedHat, Spain)