Giannis Ledakis
8 Papers
65 Citations
Giannis Ledakis is an academic researcher. The author has contributed to research in topics: Cloud computing & Computer science. The author has an hindex of 3, co-authored 4 publications.
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Papers
Cloud4SOA: A Semantic-Interoperability PaaS Solution for Multi-cloud Platform Management and Portability
Eleni Kamateri,Nikolaos Loutas,Dimitris Zeginis,James Ahtes,Francesco D'Andria,Stefano Bocconi,Panagiotis Gouvas,Giannis Ledakis,Franco Ravagli,Oleksandr Lobunets,Konstantinos Tarabanis +10 more
- 11 Sep 2013
TL;DR: The Cloud4SOA solution is introduced, a scalable approach to semantically interconnect heterogeneous PaaS offerings across different Cloud providers that share the same technology.
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Toward blockchain-based fog and edge computing for privacy-preserving smart cities
Anthony Simonet-Boulogne,Arnor Solberg,Amir Sinaeepourfard,Dumitru Roman,Fernando Perales,Giannis Ledakis,Ioannis Plakas,Souvik Sengupta +7 more
TL;DR: The integrated architecture, which connects Blockchain technologies with modern data analytic techniques (e.g., Federated Learning) and Edge/Fog computing to address the current data privacy issues in Smart Cities is proposed.
Big Data Pipelines on the Computing Continuum: Tapping the Dark Data
Dumitru Roman,Radu Prodan,Nikolay Nikolov,Ahmet Soylu,Mihhail Matskin,Andrea Marrella,Dragi Kimovski,Brian Elvesæter,Anthony Simonet-Boulogne,Giannis Ledakis,Hui Song,Francesco Leotta,Evgeny Kharlamov +12 more
TL;DR: The computing continuum enables new opportunities for managing big data pipelines concerning efficient management of heterogeneous and untrustworthy resources and its associated challenges are discussed.
6
A Cloud Orchestrator for Deploying Public Services on the Cloud – The Case of STRATEGIC Project
Panagiotis Gouvas,Konstantinos Kalaboukas,Giannis Ledakis,Theo Dimitrakos,Joshua Daniel,Gery Ducatel,Nuria Rodriguez Dominguez +6 more
- 26 May 2015
TL;DR: The STRATEGIC Cloud Orchestrator is presented which targets deployment services in multi-cloud providers and was developed using a purely top-down approach, driven by user requirements coming from the three different European Municipalities that will adopt the STRATEgIC solution.
Federated machine learning through edge ready architectures with privacy preservation as a service
Konstantinos Koutsopoulos,Antoine Simon,Benjamin Ertl,S. Tompros,Katarzyna Kapusta,Gouenou Coatrieux,Anastasius Gavras,Giannis Ledakis,Orazio Toscano,Stefan Covaci,Christoph Thuemmler +10 more
- 01 Oct 2022
TL;DR: In this article , the authors present an approach based on edge and advanced privacy preserving solutions that tries to accelerate the adoption of personal data federation for the benefit of the evolution of valuable advanced AI models.