Dr
Fahimeh Farahnakian

Senior researcher, Computer Science (Department of Future Technologies)

fahimeh.farahnakian@utu.fi
+358 2 333 6962
Vesilinnantie 5
Turku





Areas of expertise
Machine learning; deep learning; Big data; Data analysis and Knowledge discovery; Autonomous multi-agent systems.
Cloud Infrastructure and Architectures; Energy-efficient Data center; Virtualization


Biography
Fahimeh Farahnakian is a Senior Researcher at the Department of Information Technology, the University of Turku, Finland. Moreover, she works in Quva Oy as a PoDoCo researcher. From 2011-2016, she was a researcher and PhD candidate at the Department of Information Technology, the University of Turku.

Publications

Energy-aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model (2016)
Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Nguyen Trung Hieu, Hannu Tenhunen
(A1 Journal article – refereed)

Self-adaptive resource management system in IaaS clouds (2016)
IEEE International Conference on Cloud Computing
Fahimeh Farahnakian, Rami Bahsoon, Pasi Liljeberg, Tapio Pahikkala
(A4 Article in conference proceedings)

Using Ant Colony System to Consolidate VMs for Green Cloud Computing (2015)
Fahimeh Farahnakian, Adnan Ashraf, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Ivan Porres, Hannu Tenhunen
(A1 Journal article – refereed)

Utilization prediction aware VM consolidation approach for green cloud computing (2015)
Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
(A4 Article in conference proceedings)

Adaptive Load Balancing in Learning-based Approaches for many-core embedded systems (2014)
Journal of Supercomputing
F. Farahnakian, M. Ebrahimi, M. Daneshtalab, P. Liljeberg, J. Plosila
(A1 Journal article – refereed)

Artificial Immune System Based Intrusion Detection: Innate Immunity Using an Unsupervised Learning Approach (2014)
International Journal of Digital Content Technology and Its Applications
Farhoud Hosseinpour, Payam Vahdani Amoli, Fahimeh Farahnakian, Juha Plosila, Timo Hämäläinen
(A1 Journal article – refereed)

Bi-LCQ: A low-weight clustering-based Q-learning approach for NoCs (2014)
Microprocessors and Microsystems
F. Farahnakian, M. Ebrahimi, M. Daneshtalab, P. Liljeberg, J. Plosila
(A1 Journal article – refereed)

Energy-aware Dynamic VM Consolidation in Cloud Data Centers using Ant Colony System (2014)
Fahimeh Farahnakian, Adnan Ashraf, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Ivan Porres, Hannu Tenhunen
(A4 Article in conference proceedings)

Energy-Efficient Virtual Machines Consolidation in Cloud Data Centers using Reinforcement Learning (2014)
Fahimeh Farahnakian, Pasi Liljeberg, Juha Plosila
(A4 Article in conference proceedings)

Hierarchical VM Management Architecture for Cloud Data Centers (2014)
Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
(A4 Article in conference proceedings)

Multi-Agent based Architecture for Dynamic VM Consolidation in Cloud Data Centers (2014)
Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
(A4 Article in conference proceedings)

Energy Aware Consolidation Algorithm based on K-nearest Neighbor Regression for Cloud Data Centers (2013)
Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
(A4 Article in conference proceedings)

LiRCUP: Linear Regression based CPU Usage Prediction Algorithm for Live Migration of Virtual Machines in Data Centers (2013)
Fahimeh Farahnakian, Pasi Liljeberg, Juha Plosila
(A4 Article in conference proceedings)

Adaptive Reinforcement Learning Method for Networks-on-Chip (2012)
Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Juha Plosila, Pasi Liljeberg
(A4 Article in conference proceedings)

HARAQ: Congestion-Aware Learning Model for Highly Adaptive Routing Algorithm in On-Chip Networks (2012)
Daneshtalab Masoud, Ebrahimi Masoumeh, Farahnakian Fahimeh, Liljeberg Pasi, Plosila Juha, Palesi Maurizio, Tenhunen Hannu
(A4 Article in conference proceedings)

Optimized Q-learning Model for Distributing Traffic in On-Chip Networks (2012)
F Farahnakian, M Ebrahimi, M Daneshtalab, P Liljeberg, J Plosila
(A4 Article in conference proceedings)

Efficient On-Chip Network architecture Using Reinforcement Learning (2011)
F Farahnakian, M Daneshtalab, P Liljeberg, J Plosila
(A4 Article in conference proceedings)

Q-learning based congestion-aware routing algorithm for on-chip network. (2011)
Fahimeh Farahnakian, Masoumeh Ebrahimi, Masoud Daneshtalab, Pasi Liljeberg, Juha Plosila
(A4 Article in conference proceedings)




Last updated on 2017-17-11 at 05:41