Pasi Lassila

Yliopistonlehtori
Yliopistonlehtori
T412 Department of Information and Communications Engineering
Full researcher profile
https://research.aalto.fi/...

Yhteystiedot

Sähköposti
[email protected]
Puhelinnumero
+358505165856

Osaamisalueet

Performance Analysis, Modeling, Wireless networks, Queueing Theory, Computer networks

Tutkimusryhmät

  • Performance analysis

Julkaisut

Near-optimal uplink scheduling for age-energy tradeoff in wireless systems

Pasi Lassila, Samuli Aalto 2021 2021 33th International Teletraffic Congress (ITC-33)

Indexability of an opportunistic scheduling problem with partial channel information

Samuli Aalto, Pasi Lassila, Ianire Taboada 2019 Proceedings of the 12th EAI International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2019

Near-optimal dispatching policy for energy-aware server clusters

Samuli Aalto, Pasi Lassila 2019 Performance Evaluation

Whittle index approach to opportunistic scheduling with partial channel information

Samuli Aalto, Pasi Lassila, Ianire Taboada 2019 Performance Evaluation

On energy-aware M/G/1-LAS queue with batch arrivals

Pasi Lassila, Samuli Aalto 2019 Operations Research Letters

Optimal energy-aware load balancing and base station switch-off control in 5G HetNets

Pasi Lassila, Misikir Eyob Gebrehiwot, Samuli Aalto 2019 Computer Networks

Whittle index approach to energy-aware dispatching

Samuli Aalto, Pasi Lassila 2018 International Teletraffic Congress

Energy vs. QoX network- and cloud services management

Bego Blanco, Fidel Liberal, Pasi Lassila, Samuli Aalto, Javier Sainz, Marco Gribaudo, Barbara Pernici 2018 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Dynamic load balancing in 5G HetNets for optimal performance-energy tradeoff

Misikir Gebrehiwot, Pasi Lassila, Samuli Aalto 2018 IFIP Networking 2018

Dynamic Control of Running Servers

Esa Hyytiä, Douglas Down, Pasi Lassila, Samuli Aalto 2018 Measurement, Modelling and Evaluation of Computing Systems - 19th International GI/ITG Conference, MMB 2018, Proceedings