LeadingEdge

Holistic and foundational resource allocation framework for optimized and impactful edge computing services

About LeadingEdge

Vision

The LeadingEdge project will deliver a novel and holistic framework to efficiently cope with unresolved challenges in edge computing ecosystems, regarding dynamic resource provisioning to multiple coexisting services amidst unknown service- and system-level dynamics. The project approach is three-faceted; it will optimize intra-service resource provisioning, inter-service resource coordination, and user perceived quality of experience (QoE).

Aim of the project

Fact sheet


Objectives

The objectives of LeadingEdge are as follows:


Publications

Book Chapters:

  1. Livia Elena Chatzieleftheriou, Merkourios Karaliopoulos, Iordanis Koutsopoulos " On the Joint Optimization of Content Caching and Recommendations ", Chapter 21 in book “Edge Caching for Wireless Networks”, pp. 581-613. The Institution of Engineering and Technology (IET), Publication year: 2021, ISBN: 978-1-83953-122-4. Editors: Wei Chen and H. Vincent Poor.
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Journals:

  1. M. M. Wadu, S. Samarakoon and M. Bennis "Joint Client Scheduling and Resource Allocation Under Channel Uncertainty in Federated Learning,", in IEEE Transactions on Communications, vol. 69, no. 9, pp. 5962-5974, Sept. 2021, doi: 10.1109/TCOMM.2021.3088528
  2. RP Centelles, F Freitag, R Meseguer, L Navarro " Beyond the star of stars: An introduction to multihop and mesh for LoRa and LoRaWAN ", in IEEE Pervasive Computing, Volume: 20, Issue: 2, April-June 1 2021.
  3. S. Samarakoon, M. Bennis, W. Saad and M. Debbah, "Predictive Ultra-Reliable Communication: A Survival Analysis Perspective,", in IEEE Communications Letters, vol. 25, no. 4, pp. 1221-1225, April 2021, doi: 10.1109/LCOMM.2020.3047446.
  4. Bouziane Brik and Adlen Ksentini "Towards an Optimal MEC Resources Dimensioning for Vehicle Collision Avoidance System: A Deep Learning Approach", in IEEE Network Magazine, Special Issue on AI-Empowered Mobile Edge Computing in the Internet of Vehicles, May-June 2021.
  5. Roger Pueyo Centelles, Roc Meseguer, Felix Freitag, Leandro Navarro, Sergio F. Ochoa, Rodrigo M. Santos "LoRaMoto: A Communication System to Provide Safety Awareness AmongCivilians After an Earthquake", in Future Generation Computer Systems, 2021.
  6. H. Seo, J. Park, M. Bennis and W. Choi, "Communication and Consensus Co-Design for Distributed, Low-Latency and Reliable Wireless Systems,", in IEEE Internet of Things Journal, Jan, 2021, doi: 10.1109/JIOT.2020.2997596.
  7. George Koutitas, Shashwat Vyas, Chaitanya Vyas, Shivesh Singh Jadon, Iordanis Koutsopoulos "Practical Methods for Efficient Resource Utilization in Augmented Reality Services", in IEEE Access, Dec, 2020.
  8. Sumudu Prasad Samarakoon, Mehdi Bennis, Walid Saad, and Mérouane Debbah "Predictive Ultra-Reliable Communication: A Survival Analysis Perspective", in IEEE Communications Letters, Dec, 2020.
  9. D. Wen, M. Bennis, K. Huang, “Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning,”, in IEEE Trans. Wireless Commun. 2020.
  10. H. Shiri, J. Park and M. Bennis, "Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory,", in IEEE Transactions on Communications 2020, Volume 68, Issue 11, doi: 10.1109/TCOMM.2020.3017281.
  11. S. Oh, J. Park, E. Jeong, H. Kim, M. Bennis and S. Kim, "Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup,", in IEEE Communications Letters, Volume: 24, Issue: 10, Oct. 2020, doi: 10.1109/LCOMM.2020.3003693.

Conferences:

  1. A.Chouayakh and A. Destounis, " Towards no regret with no service outages in online resource allocation for edge computing ", in IEEE ICC 2022 (to appear).
  2. F. Freitag, P. Vilchez, Ch. Liu, L. Wei, M. Selimi. " Performance Evaluation of Federated Learning over Wireless Mesh Networks with Low-Capacity Devices. ", in International Conference on Information Technology & Systems (ICITS 2022), Feb 2022.
  3. F. Freitag, P. Vilchez, L. Wei, C.H Liu, M. Selimi, I. Koutsopoulos. " Demo: An Experimental Environment Based On Mini-PCs For Federated Learning Research.", in 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), Jan 2022.
  4. C.-F. Liu and M. Bennis " Federated learning with correlated data: Taming the tail for age-optimal industrial IoT ", in Proc. 19th Int. Symp. Modeling Optim. Mobile, Ad Hoc, Wireless Netw., Oct. 2021, pp. 1-6.
  5. Y.-L. Hsu, C.-F. Liu, S. Samarakoon, H.-Y. Wei, and M. Bennis, " Age-optimal power allocation in industrial IoT: A risk-sensitive federated learning approach ", in Proc. IEEE 32nd Annu. Int. Symp. Pers., Indoor, Mobile Radio Commun., Sep. 2021, pp. 1-6.
  6. Georgios Cheirmpos, Merkouris Karaliopoulos, Iordanis Koutsopoulos "Optimizing shared data plans for mobile data access", in ITC 33 - Networked Systems and Services Aug. 31st - Sep. 3rd 2021, Avignon, France.
  7. L Navarro, M Roura, D Franquesa " eReuse poster: the circular economy of digital devices ", in COMPASS 2021: ACM SIGCAS Conference on Computing and Sustainable Societies, June 2021.
  8. Iordanis Koutsopoulos, Maria Halkidi "Optimization of Multi-stakeholder Recommender Systems for Diversity and Coverage", in 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.703-714.
  9. Livia Elena Chatzieleftheriou, Apostolos Destounis, Georgios Paschos, Iordanis Koutsopoulos "Blind Optimal User Association in Small-Cell Networks", in IEEE International Conference on Communications (INFOCOM), May, 2021.
  10. Iordanis Koutsopoulos "The Impact of Baseband Functional Splits on Resource Allocation in 5G Radio Access Networks", in IEEE International Conference on Communications (INFOCOM), May, 2021.
  11. Mennan Selimi, Leandro Navarro, Bart Braem, Felix Freitag, Adisorn Lertsinsrubtavee "Towards Information-Centric Edge Platform for Mesh Networks: The Case of CityLab Testbed ", in IEEE International Conference on Fog Computing (ICFC), April, 2020 .
  12. Javier Panadero, Laura Calvet, Christopher BaylissJoan, Manuel Marques, Mennan Selimi, Felix Freitag "A SIMHEURISTIC ALGORITHM FOR SERVICE PLACEMENT IN COMMUNITY NETWORKS", in 2020 Winter Simulation Conference, Dec, 2020.
  13. Roger Pueyo Centelles, Mennan Selimi, Felix Freitag, Leandro Navarro "REDEMON: Resilient Decentralized MonitoringSystem for Edge Infrastructures", in 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), May, 2020.
  14. Mohamed K. Abdel-Aziz, Sumudu Samarakoon, Cristina Perfecto, and Mehdi Bennis "Cooperative perception in Vehicular Networks using Multi-Agent Reinforcement Learning", in 54th Asilomar Conference on Signals, Systems, and Computers, Nov., 2020.
  15. M. Karaliopoulos and I. Koutsopoulos, "Collective subscriptions: a novel funding tool for crowdsourced network infrastructures", in IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (IEEE WoWMoM 2020).


News

  1. 18 Oct. 2021: 4rth LeadingEdge Project Meeting! (Virtual)
    Participants (per partner):
    AUEB-RC: Iordanis Koutsopoulos, Livia Elena Chatzieleftheriou,
    EURECOM: Osama Arouk, Adlen Ksentini, Navid Nikaein,
    Huawei: Apostolos Destounis, Ayman Chouayakh,
    StreamOwl: Savvas Argyropoulos,
    Uoulu: Mehdi Bennis, Chen-Feng Liu,
    UPC: Felix Freitag.
    img/meeting_4_foto_1
    img/meeting_4_foto_2

Consortium