- Collaboration map
- PhD Students (alphabetical order)
- Research topics
|Future factories in the Cloud (SSF - Swedish Foundation For Strategic Research)|
|Fog Computing for Robotics and Industrial Automation (FORA) (EU Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 764785)|
|ARRAY||Automation Region Research Academy (KK-stiftelsen)|
|AFarCloud||Aggregate Farming in the Cloud (EU Horizon 2020 ECSEL JU)|
|FIESTA||Federated Choreography of an Integrated Embedded Systems Software Architecture (KK-stiftelsen)|
|SACSys||Safe and Secure Adaptive Collaborative Systems (KK-stiftelsen)|
- Excellence in Production Research (**XPRES) (Governmental funding from Strategic Research Area (SRA) initiative)
- SLA-IoT: Ensuring Quality of Service through Modeling of Service-level Agreements in Industrial IoT
- Cloud control
- Visible to the public Unifying Control and Verification of Cyber-Physical Systems (UnCoVerCPS)
PhD Students (alphabetical order)
- Anders Lager (@ABB Robotics) (ARRAY)
- Anna Friebe (VR)
- Bjarne Johansson (@ABB Control Systems Technology) (ARRAY)
- Branko Miloradovic
- Mahdi Momeni Kelageri (@Skanska) (ARRAY)
- Mirgita Frasheri
- Ngoc Tam Lam (@Skanska) (ARRAY)
- Shaik Salman (@ABB Robotics) (FORA)
- Vaclav Struhar (FORA)
Robotics, Multiagent Systems, and Automation for Industry 4.0
My research focuses on the design of collaborative and cooperative robots, with a focus on Task Planning, Multiagent interaction, and Reactive control. The classical research in the robotics domain is also complemented with the integration of the computation and communication infrastructure, including Fog computing and Industrial IoT.
- Miloradović et al. Extended Colored Traveling Salesperson for Modeling Multi-Agent Mission Planning Problems. International Conference on Operations Research and Enterprise Systems (ICORES), 2019.
- Salman et al. Fogification of Industrial Robotic Systems: Research Challenges Fog-IoT 2019.
- Frasheri et al. Adaptive Autonomy in a Search and Rescue Scenario. 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), 2018
- Papadopoulos et al. Generation of Human Walking Paths. Autonomous Robots, 2016.
Control of computing systems
My research mostly focuses on developing new methodologies and tools for the design and the implementation of next generation computing systems. In particular, I am particularly interested in the modeling and control of computing systems in different areas of computer science.
Cloud computing, Internet of Things, and Data Streaming
My research in cloud computing focuses mostly on resource allocation problems, with a specific attention to vertical and horizontal elasticity. More recently, I started working also on IoT for industrial cloud, and data streaming
- Papadopoulos et al. PEAS: A Performance Evaluation Framework for Auto-Scaling Strategies in Cloud Applications. ACM Transactions On Modeling and Performance Evaluation of Computing Systems (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. In 8th ACM/SPEC International Conference on Performance Engineering, 2017 (to appear)
- Papadopoulos, A. V., & Maggio, M. Virtual Machine Migration in Cloud Infrastructures: Problem Formalization and Policies Proposal. In IEEE 54th Annual Conference onDecision and Control (CDC), 2015.
- Karl-Erik Årzén (Lund University, Sweden)
- Martina Maggio (Lund University, Sweden)
- Erik Elmroth (Umeå University, Sweden)
- Marina Papatriantafilou (Chalmers University of Technology, Sweden)
- Philippas Tsigas (Chalmers University of Technology, Sweden)
- Alexandru Iosup (TU Delft, The Netherlands)
- Hongyu Pei-Breivold (ABB/MDH)
- Luis Tomas Bolivar (RedHat, Spain)
My research on Self-Adaptive Systems focuses on the definition of automatized procedures in order to design and control software systems in presence of uncertain environments with the use of control theory.
- Angelopoulos et al. Model Predictive Control for Software Systems with CobRA. In 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2016.
- Filieri et al. Control Strategies for Self-Adaptive Software Systems. ACM Transactions On Autonomous and Adaptive Systems, 2016. (to appear)
- Maggio et al. Self-adaptation for Individual Self-aware Computing Systems. In Self-Aware Computing Systems, 2017.
- Martina Maggio (Lund University, Sweden)
- Antonio Filieri (Imperial College London, UK)
- Henry (Hank) Hoffmann (University of Chicago, USA)
- John Mylopoulos (University of Ottawa, Canada)
- Konstantinos Angelopoulos (Brighton University)
- Vı́tor E. Silva Souza (Federal University of Espírito Santo, Brazil)
- Javier Camara (Carnegie Mellon University, USA)
- Gabriel Moreno (Software Engineering Institute, CMU, USA)
Wireless Sensor Networks and Real-Time Systems
The main focus of my research is the design and implementation of predictable systems. On Wireless Sensor Networks, I have worked on clock synchronization schemes and delay compensation algorithms based on control theory. More in general, on Real-Time Systems, I have worked on the design of feedback-based scheduling algorithms.
- Papadopoulos et al. AdaptMC: A Control-Theoretic Approach for Achieving Resilience in Mixed-Criticality Systems
- Leva et al. High-Precision Low-Power Wireless Nodes’ Synchronization via Decentralized Control. IEEE Transactions On Control Systems Technology, 2016.
- Terraneo et al. Reverse Flooding: exploiting radio interference for efficient propagation delay compensation in WSN clock synchronization. In Proceedings of the 36th IEEE Real-Time Systems Symposium, 2015.
- Terraneo et al. FLOPSYNC-2: efficient monotonic clock synchronisation. In Proceedings of the 35th IEEE Real-Time Systems Symposium, 2014.
- Papadopoulos et al. Hard Real-Time Guarantees in Feedback-based Resource Reservations. Real-Time Systems, 2015.