Marios Avgeris

UvA - LAB42

Science Park 900

1098 XH Amsterdam, Netherlands

I am holding an Assistant Professor position with the Informatics Institute (IvI) at the University of Amsterdam (UvA), carrying out work in the Multiscale Networked Systems (MNS) group.

More details about my background can be found here: Curriculum Vitae

UvA

Areas of Interest:

News

Sep 26, 2024	Our paper ‘Optimizing Resource Fragmentation in Virtual Network Function Placement using Deep Reinforcement Learning’ has been published in IEEE Transactions on Machine Learning in Communications and Networking!
Jul 23, 2024	Our paper ‘DRL-Based Trajectory Planning and Sensor Task Scheduling for Edge Robotics’ has been accepted for 2024 IEEE WF-IoT!
May 3, 2024	Our paper ‘Online VNF Placement using Deep Reinforcement Learning and Reward Constrained Policy Optimization’ has been accepted for publication in 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)!
Apr 14, 2024	Our paper ‘VNF Placement and Dynamic NUMA Node Selection Through Core Consolidation at the Edge and Cloud’ has been published in IEEE Transactions on Network and Service Management!
Mar 6, 2024	Happy to announce that I will be chairing the Workshop on Machine Intelligence in Networked Data and Systems (MINDS) of the 17th International Conference on COMmunication Systems & NETworkS (COMSNETS 2025) for the second consecutive year!

Selected Publications

TOIT

Adaptive resource allocation for computation offloading: A control-theoretic approach

Marios Avgeris, Dimitrios Dechouniotis, Nikolaos Athanasopoulos, and 1 more author

ACM Transactions on Internet Technology (TOIT), 2019

Bib HTML PDF Code

@article{avgeris2019adaptive,
  title = {Adaptive resource allocation for computation offloading: A control-theoretic approach},
  author = {Avgeris, Marios and Dechouniotis, Dimitrios and Athanasopoulos, Nikolaos and Papavassiliou, Symeon},
  journal = {ACM Transactions on Internet Technology (TOIT)},
  volume = {19},
  number = {2},
  pages = {1--20},
  year = {2019},
  publisher = {ACM New York, NY, USA},
  doi = {10.1145/3284553},
}

ComNet

Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions

Firdose Saeik, Marios Avgeris, Dimitrios Spatharakis, and 7 more authors

Computer Networks, 2021

Bib HTML PDF

@article{saeik2021task,
  title = {Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions},
  author = {Saeik, Firdose and Avgeris, Marios and Spatharakis, Dimitrios and Santi, Nina and Dechouniotis, Dimitrios and Violos, John and Leivadeas, Aris and Athanasopoulos, Nikolaos and Mitton, Nathalie and Papavassiliou, Symeon},
  journal = {Computer Networks},
  volume = {195},
  pages = {108177},
  year = {2021},
  publisher = {Elsevier},
  doi = {10.1016/j.comnet.2021.108177},
}

IoT-J

Resource-aware estimation and control for edge robotics: A set-based approach

Dimitrios Spatharakis, Marios Avgeris, Nikolaos Athanasopoulos, and 2 more authors

IEEE Internet of Things Journal, 2022

Bib HTML PDF Code

@article{spatharakis2022resource,
  title = {Resource-aware estimation and control for edge robotics: A set-based approach},
  author = {Spatharakis, Dimitrios and Avgeris, Marios and Athanasopoulos, Nikolaos and Dechouniotis, Dimitrios and Papavassiliou, Symeon},
  journal = {IEEE Internet of Things Journal},
  volume = {10},
  number = {3},
  pages = {2003--2020},
  year = {2022},
  publisher = {IEEE},
  doi = {10.1109/JIOT.2022.3141266},
}

Sensors

ENERDGE: Distributed energy-aware resource allocation at the edge

Marios Avgeris, Dimitrios Spatharakis, Dimitrios Dechouniotis, and 3 more authors

Sensors, 2022

Bib HTML PDF Code

@article{avgeris2022enerdge,
  title = {ENERDGE: Distributed energy-aware resource allocation at the edge},
  author = {Avgeris, Marios and Spatharakis, Dimitrios and Dechouniotis, Dimitrios and Leivadeas, Aris and Karyotis, Vasileios and Papavassiliou, Symeon},
  journal = {Sensors},
  volume = {22},
  number = {2},
  pages = {660},
  year = {2022},
  publisher = {MDPI},
  doi = {10.3390/s22020660},
}