Performance Analysis
The group studies mathematical modelling and analysis of the traffic and performance of modern ICT systems. The methods are typically based on applied probability, queueing theory, teletraffic theory, scheduling theory, and stochastic optimal control techniques. In addition, event-based simulation and other numerical methods are utilised in the research.
The group was established by Prof. Jorma Virtamo, who also led it until his retirement in 2009. From that on, the group has been led by Dr. Samuli Aalto. It is an internationally recognized research group in the area of queueing and teletraffic theory, as well as the stochastic performance analysis of ICT systems.
Current and recent research topics include:
- Analysis of the performance-energy trade-off in queueing systems under various scheduling disciplines
- Analysis of performance degradation in parallel-server systems
- Analysis of signalling performance for M2M traffic in wireless systems
- Optimal scheduling problem in queueing systems based on the Gittins index approach
- Near-optimal dispatching control of energy-aware parallel service systems based on the Whittle index approach
- Near-optimal opportunistic scheduling control in wireless systems based on the Whittle index approach
- Near-optimal load balancing problem in energy-aware 5G HetNets based on the Whittle index approach
Contact
The research group is led by .
Group members
Latest publications
Samuli Aalto
2024
QUEUEING SYSTEMS
Samuli Aalto
2024
Mathematical Methods of Operations Research
Samuli Aalto, Ziv Scully
2023
QUEUEING SYSTEMS
Samuli Aalto
2022
QUEUEING SYSTEMS
Samuli Aalto, Ziv Scully
2022
QUEUEING SYSTEMS
Pasi Lassila, Samuli Aalto
2021
2021 33th International Teletraffic Congress (ITC-33)
Esa Hyytiä, Rhonda Righter, Jorma Virtamo, Lauri Viitasaari
2020
Performance Evaluation
Samuli Aalto, Pasi Lassila, Ianire Taboada
2019
Proceedings of the 12th EAI International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2019
Samuli Aalto, Pasi Lassila
2019
Performance Evaluation
Samuli Aalto, Pasi Lassila, Ianire Taboada
2019
Performance Evaluation
More information on our research in the Aalto research portal.