Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Graph-Massivizer requirements elicitation and first architecture design

D2.1 presents the first requirements elicitation and Graph-Massivizer toolkit architecture design. (T2.1, T2.3)

Massive graph inception architecture and data management

D3.1 defines the graph inception architecture and BGO based on open standards as a reference for tools and use cases (T3.1, T3.2).

Sustainable serverless BGO scheduling and deployment

D5.2 presents scheduling and deployment methods of serverless BPO on codesigned hardware with sustainability analysis (T5.3, T5.4).

Final Graph-Massivizer architecture and validation campaigns

D2.3 presents the final requirements analysis, consolidated Graph Massivizer toolkit design, and the validation campaigns’ results, including their KPI assessment (T2.3. T2.4).

Infrastructure simulator for graph processing

D5.3 describes the sustainability analysis and the extension of the OSS OpenDC simulator for graph processing (T5.5).

BGO and composition rules repository for heterogeneous devices

D4.1 is a documented code repository with a collection of BGO optimised for different devices (T4.1, T4.2).

Communication, dissemination, and exploitation strategy

D7.1 provides the initial plan for the communication, dissemination and exploitation activities and the evaluation framework (T7.1 – T7.4).

Massive graph enrichment, query, inference and BGO interfaces

D3.2 reports on the distributed graph sampling techniques, streaming graph ML algorithms, online approximate reasoning techniques and interfaces for graph operators (T3.3, T3.4).

Infrastructure provisioning with codesigned hardware

D5.1 describes the resource provisioning methods for graph processing across complex codesigned infrastructures (T5.1, T5.2).

Publications

AI, What Does the Future Hold for Us? Automating Strategic Foresight.

Auteurs: Joze Rozanec, Peter Nemec, Gregor Leban, Marko Grobelnik
Publié dans: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Éditeur: Association for Computing Machinery
DOI: 10.1145/3578245.3585336

Modeling and Generating Extreme Volumes of Financial Synthetic Time-Series Data with Knowledge Graphs

Auteurs: Laurentiu Vasiliu, S. Haleh S. Dizaji, Aaron Eberhart, Dumitru Roman, Radu Prodan
Éditeur: CEUR

An Extensive Characterization of Graph Sampling Algorithms

Auteurs: S. Haleh S. Dizaji, Joze M. Rozanec, Reza Farahani, Dumitru Roman, Radu Prodan
Publié dans: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2025
Éditeur: ACM
DOI: 10.1145/3629527.3652899

Semi-Supervised Event Predictions with Graph Networks

Auteurs: Peter Nemec, Gregor Leban, Joze Rozanec, Marko Grobelnik
Publié dans: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Éditeur: Association for Computing Machinery
DOI: 10.1145/3578245.3585332

metaphactory for Massive Graphs

Auteurs: Aaron Eberhart, Peter Haase, Wolfgang Schell
Publié dans: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Éditeur: ACM
DOI: 10.1145/3578245.3585330

Designing a Sustainable Serverless Graph Processing Tool on the Computing Continuum

Auteurs: Reza Farahani, Sashko Ristov & Radu Prodan
Publié dans: Euro-Par 2023: Parallel Processing Workshops, 2024, ISSN 0302-9743
Éditeur: Springer Verlag
DOI: 10.1007/978-3-031-48803-0_18

Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case

Auteurs: Zhou, Baifan; Nikolov, Nikolay Vladimirov; Zheng, Zhuoxun; Luo, Xianghui; Savkovic, Ognjen; Roman, Dumitru; Soylu, Ahmet; Kharlamov, Evgeny
Publié dans: The Semantic Web – ISWC 2023, 2023, ISSN 0302-9743
Éditeur: Springer
DOI: 10.48550/arxiv.2308.01094

A Unified Ontology for Scalable Knowledge Graph-Driven Operational Data Analytics in High-Performance Computing Systems

Auteurs: Junaid Ahmed Khan, Andrea Bartolini
Publié dans: 2025
Éditeur: Cornell Unversty
DOI: 10.48550/ARXIV.2507.06107

Monte Cimone v2: Down the Road of RISC-V High-Performance Computers

Auteurs: Emanuele Venieri, Simone Manoni, Gabriele Ceccolini, Giacomo Madella, Federico Ficarelli, Daniele Gregori, Daniele Cesarini, Luca Benini, Andrea Bartolini
Publié dans: 2025
Éditeur: Cornell University
DOI: 10.48550/ARXIV.2503.18543

Proactive SLA-aware Application Placement in the Computing Continuum

Auteurs: Samani, Zahra Najafabadi; Mehran, Narges; Kimovski, Dragi; Prodan, Radu
Publié dans: 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023, ISSN 1530-2075
Éditeur: IEEE
DOI: 10.5281/zenodo.7770236

Towards cloud storage tier optimization with rule-based classification

Auteurs: Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman & Ahmet Soylu
Publié dans: Service-Oriented and Cloud Computing, 2023, ISBN 978-3-031-46234-4
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-46235-1_13

The MATRIX Ontology – Semantic Memory for Multi-agent Experience Transfer, Reasoning and Interaction eXchange

Auteurs: Liubov Kovriguina, Dmitry Mouromtsev, Peter Haase
Publié dans: 2025
Éditeur: Springer

SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions

Auteurs: Simone Manoni, Paul Scheffler, Luca Zanatta, Andrea Acquaviva, Luca Benini, Andrea Bartolini
Publié dans: 2025 Design, Automation &amp; Test in Europe Conference (DATE), 2025
Éditeur: IEEE
DOI: 10.23919/DATE64628.2025.10992749

Towards Graph-based Cloud Cost Modelling and Optimisation

Auteurs: Khan, Akif Quddus; Nikolov, Nikolay; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet
Publié dans: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 2023, ISSN 0730-3157
Éditeur: IEEE
DOI: 10.1109/COMPSAC57700.2023.00203

A trace-driven performance evaluation of hash-based task placement algorithms for cache-enabled serverless computing

Auteurs: Sacheendra Talluri, Nikolas Herbst, Cristina Abad, Animesh Trivedi, and Alexandru Iosup
Publié dans: CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023, ISBN 979-8-4007-0140-5
Éditeur: ACM
DOI: 10.1145/3587135.3592195

DEEP: Edge-Based Dataflow Processing with Hybrid Docker Hub and Regional Registries

Auteurs: Narges Mehran, Zahra Najafabadi Samani, Reza Farahani, Josef Hammer, Dragi Kimovski
Publié dans: 2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2025
Éditeur: IEEE
DOI: 10.1109/IPDPSW66978.2025.00162

Serverless Orchestration on the Edge-Cloud Continuum: Challenges and Solutions

Auteurs: Reza Farahani, Radu Prodan
Publié dans: Companion of the 16th ACM/SPEC International Conference on Performance Engineering, 2025
Éditeur: ACM
DOI: 10.1145/3680256.3721254

The SPEC-RG reference architecture for the edge continuum

Auteurs: Matthijs Jansen, Auday Al-Dulaimy, Alessandro V. Papadopoulos, Animesh Trivedi, Alexandru Iosup
Publié dans: 2022
DOI: 10.48550/arXiv.2207.04159

Serverless Everywhere: A Comparative Analysis of WebAssembly Workflows Across Browser, Edge, and Cloud

Auteurs: Mario Colosi, Reza Farahani, Lauri Loven, Radu Prodan, Massimo Villari
Éditeur: Cornell University
DOI: 10.48550/ARXIV.2512.04089

GraphSys-2024: 2nd Workshop on Serverless, Extreme-Scale, and Sustainable Graph Processing Systems

Auteurs: Alexandru Iosup, Radu Prodan, and Ana-Lucia Varbanescu
Publié dans: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Éditeur: ACM
DOI: 10.1145/3629527.3651435

NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores

Auteurs: Simone Manoni, Paul Scheffler, Alfio Di Mauro, Luca Zanatta, Andrea Acquaviva, Luca Benini, Andrea Bartolini
Publié dans: Proceedings of the 21st ACM International Conference on Computing Frontiers: Workshops and Special Sessions, 2025
Éditeur: ACM
DOI: 10.1145/3637543.3652879

GREEM: An Open-Source Energy Measurement Tool for Video Processing

Auteurs: Christian Bauer, Samira Afzal, Sandro Linder, Radu Prodan, and Christian Timmerer
Publié dans: MMSys '24: Proceedings of the 15th ACM Multimedia Systems Conference, 2024, ISBN 979-8-4007-0412-3
Éditeur: ACM
DOI: 10.1145/3625468.3652168

Lecture Notes in Computer Science

Enabling Operational Data Analytics for Datacenters through Ontologies, Monitoring, and Simulation-based Prediction

Auteurs: Shekhar Suman, Xiaoyu Chu, Dante Niewenhuis, Sacheendra Talluri, Tiziano De Matteis, and Alexandru Iosup
Publié dans: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Éditeur: ACM
DOI: 10.1145/3629527.3652897

Fiaingen: A financial time series generative method matching real-world data quality

Auteurs: Jozw M. Rozanec, Tina Zezlin, Laurentiu Vasiliu, Dunja Mladernic, Radu Prodan, Dumitru Roman
Publié dans: 2025
Éditeur: Cornell University

Graph-Inceptor: Towards Extreme Data Ingestion, Massive Graph Creation and Storage

Auteurs: Joze Rozanec, Brian Elvesæter, Dumitru Roman, Marko Grobelnik, Peter Haase
Publié dans: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Éditeur: Association for Computing Machinery
DOI: 10.1145/3578245.3585339

Serverless Workflow Management on the Computing Continuum: A Mini-Survey

Auteurs: Reza Farahani, Frank Loh, Dumitru Roman, Radu Prodan
Publié dans: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2025
Éditeur: ACM
DOI: 10.1145/3629527.3652901

EnergyLess: An Energy-Aware Serverless Workflow Batch Orchestration on the Computing Continuum

Auteurs: Reza Farahani, Radu Prodan
Publié dans: 2025 IEEE 18th International Conference on Cloud Computing (CLOUD), 2025
Éditeur: IEEE
DOI: 10.1109/CLOUD67622.2025.00033

VEEP: Video Encoding Energy and CO2 Emission Prediction

Auteurs: Armin Lachini, Manuel Hoi, Samira Afzal, Sandro Linder, Farzad Tashtarian, Radu Prodan, and Christian Timmerer
Publié dans: GMSys '24: Proceedings of the Second International ACM Green Multimedia Systems Workshop, 2024, ISBN 979-8-4007-0617-2
Éditeur: ACM
DOI: 10.1145/3652104.3652528

A Reference Architecture for Datacenter Scheduler Programming Abstractions: Design and Experiments (Work In Progress Paper)

Auteurs: Aratz Manterola Lasa, Sacheendra Talluri, and Alexandru Iosup
Publié dans: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Éditeur: ACM
DOI: 10.1145/3578245.3585035

Graph-Greenifier: towards sustainable and energy-aware massive graph processing in the computing continuum

Auteurs: Alexandru Iosup, Radu Prodan, Ana-Lucia Varbanescu, Sacheendra Talluri, Gilles Magalhaes, Kailhan Hokstam, Hugo Zwaan, Vincent van Beek, Reza Farahani, and Dragi Kimovski
Publié dans: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Éditeur: ACM
DOI: 10.1145/3578245.3585329

Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case

Auteurs: Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng, Ognjen Savkovic, Ziqi Huang, Irlan-Grangel Gonzalez, Ahmet Soylu, Evgeny Kharlamov
Publié dans: ISWC 2023: The Semantic Web – ISWC 2023, 2023, ISSN 0302-9743
Éditeur: Springer ISWC2023
DOI: 10.48550/arXiv.2308.01105

Serverless Workflow Management on the Computing Continuum: A Mini-Survey

Auteurs: Reza Farahani, Frank Loh, Dumitru Roman, and Radu Prodan
Publié dans: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Éditeur: ACM
DOI: 10.1145/3629527.3652901

Estimating link confidence for human-in-the-loop table annotation

Auteurs: Roberto Avogadro; Michele Ciavotta; Flavio De Paoli; Matteo Palmonari; Dumitru Roman
Publié dans: 2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2023, ISBN 979-8-3503-0919-5
Éditeur: IEEE
DOI: 10.1109/WI-IAT59888.2023.00025

The RML Ontology: A Community-Driven Modular Redesign After a Decade of Experience in Mapping Heterogeneous Data to RDF

Auteurs: Ana Iglesias-Molina, Dylan Van Assche, Julián Arenas-Guerrero, Ben De Meester, Christophe Debruyne, Samaneh Jozashoori, Pano Maria, Franck Michel, David Chaves-Fraga & Anastasia Dimou
Publié dans: The Semantic Web – ISWC 2023, 2023, ISSN 0302-9743
Éditeur: Springer Verlag
DOI: 10.1007/978-3-031-47243-5_9

Exploring the Utility of Graph Methods in HPC Thermal Modeling

Auteurs: Bruno Guindani, Martin Molan, Andrea Bartolini, and Luca Benini
Publié dans: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Éditeur: ACM
DOI: 10.1145/3629527.3652895

NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores

Auteurs: Manoni, Simone and Scheffler, Paul and Di Mauro, Alfio and Zanatta, Luca and Acquaviva, Andrea and Benini, Luca and Bartolini, Andrea
Publié dans: Proceedings of the 21st ACM International Conference on Computing Frontiers: Workshops and Special Sessions, 2024, ISBN 9798400704925
Éditeur: ACM
DOI: 10.1145/3637543.3652879

ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER

Auteurs: Layegh, Amirhossein; Hossein Payberah, Amir; Soylu, Ahmet; Roman, Dumitru; Matskin, Mihhail
Publié dans: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 2023, ISSN 0730-3157
Éditeur: IEEE
DOI: 10.48550/arxiv.2305.17951

ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics

Auteurs: Antonis Klironomos, Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Gad-Elrab Mohamed, Heiko Paulheim, Evgeny Kharlamov
Publié dans: The Semantic Web: ESWC 2023 Satellite Events, 2023, ISSN 0302-9743
Éditeur: Springer Verlag
DOI: 10.1007/978-3-031-43458-7_23

AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks

Auteurs: Grafika Jati, Martin Molan, Junaid Ahmed Khan, Francesco Barchi, Andrea Bartolini, Giuseppe Mercurio, and Andrea Acquaviva
Publié dans: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Éditeur: ACM
DOI: 10.1145/3629527.3652896

Building Massive Knowledge Graphs using an Automated ETL Pipeline

Auteurs: Aaron Eberhart, Wolfgang Schell, and Peter Haase
Publié dans: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Éditeur: ACM
DOI: 10.1145/3629527.3652900

SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples

Auteurs: Michael Färber, David Lamprecht, Johan Krause, Linn Aung & Peter Haase
Publié dans: The Semantic Web – ISWC 2023, 2023, ISSN 0302-9743
Éditeur: Springer Verlag
DOI: 10.1007/978-3-031-47243-5_6

ADApt: Edge Device Anomaly Detection and Microservice Replica Prediction

Auteurs: Narges Mehran, Nikolay Nikolov, Radu Prodan, Dumitru Roman, Dragi Kimovski, Frank Pallas, Peter Dorfinger
Publié dans: 2025 IEEE 9th International Conference on Fog and Edge Computing (ICFEC), 2025
Éditeur: IEEE
DOI: 10.1109/ICFEC65699.2025.00009

An integrated approach using ontologies, knowledge graphs,machine learning, and rules models for synthetic financial time series generation

Auteurs: Laurentiu Vasiliu, Radu Prodan, Ahmet Soylu, Dumitru Roman
Publié dans: 2024
Éditeur: CEUR

Learning anomalies from graph: predicting compute node failures on HPC clusters

Auteurs: Joze M. rozanec, Roy Krumpak, Martin Molan, Andrea Bartolini
Publié dans: 2024
Éditeur: PMLR

Adapting Neural Link Predictors for Data-Efficient Complex Query Answering

Auteurs: Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein
Publié dans: 37th Conference on Neural Information Processing Systems, 2024
Éditeur: Curran Associates Inc., 57 Morehouse Lane, Red Hook, NY, United States
DOI: 10.5555/3666122.3667300

Scheduling of Distributed Applications on the Computing Continuum: A Survey

Auteurs: Narges Mehran, Dragi Kimovski, Hermann Hellwagner, Dumitru Roman, Ahmet Soylu, and Radu Prodan
Publié dans: UCC '23: Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2024, ISBN 979-8-4007-0234-1
Éditeur: ACM
DOI: 10.1145/3603166.3632540

metis: AI Agent Platform for Human-AI Interaction with Knowledge Graphs

Auteurs: Linn Aung, Aaron Eberhart, Peter Haase, Nicolas Heist, Liubov Kovriguina, David Lamprecht, Nazanin Mashhaditafreshi
Publié dans: 2025
Éditeur: CEUR

Towards Sustainable Serverless Processing of Massive Graphs on the Computing Continuum

Auteurs: Reza Farahani; Dragi Kimovski; Sashko Ristov; Alexandru Iosup; Radu Prodan
Publié dans: ICPE 2023 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 221 - 226, 2023, ISBN 979-8-4007-0072-9
Éditeur: ACM
DOI: 10.1145/3578245.3585331

The Graph-Massivizer approach toward a European sustainable data centre digital twin

Auteurs: Martin Molan, Junaid Ahmed Khan, Andrea Bartolini, Roberta Turra, Giorgio Pedrazzi, Michael Cochez, Alexandru Iosup, Dumitru Roman, Jože Rožanec, Ana Lucia Vărbănescu, Radu Prodan
Publié dans: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 2023, ISSN 0730-3157
Éditeur: IEEE
DOI: 10.1109/COMPSAC57700.2023.00224

HEFTLess: A Bi-Objective Serverless Workflow Batch Orchestration on the Computing Continuum

Auteurs: Reza Farahani, Narges Mehran, Sashko Ristov, Radu Prodan
Publié dans: 2024 IEEE International Conference on Cluster Computing (CLUSTER), 2024
Éditeur: IEEE
DOI: 10.1109/CLUSTER59578.2024.00032

VEED: Video Encoding Energy and CO2 Emissions Dataset for AWS EC2 instances

Auteurs: Sandro Linder, Samira Afzal, Christian Bauer, Hadi Amirpour, Radu Prodan, and Christian Timmerer
Publié dans: MMSys '24: Proceedings of the 15th ACM Multimedia Systems Conference, 2024, ISBN 979-8-4007-0412-3
Éditeur: Association for Computing Machinery
DOI: 10.1145/3625468.3652178

Osmotic Learning: A Self-Supervised Paradigm for Decentralized Contextual Data Representation

Auteurs: Mario Colosi, Reza Farahani, Maria Fazio, Radu Prodan, Massimo Villari
Publié dans: 2025 International Joint Conference on Neural Networks (IJCNN), 2025
Éditeur: IEEE
DOI: 10.1109/IJCNN64981.2025.11228913

A Performance Evaluation of OWL 2 DL Reasoners using ORE 2015 and Very Large Bio Ontologies

Auteurs: An Ngoc Lam, Brian Elvesæter and Francisco Martin-Recuerda
Publié dans: 1st International Workshop on Data Management for Knowledge Graphs (DMKG 2023), CEUR Workshop Proceedings. 2023, 2023, ISSN 1613-0073
Éditeur: CEUR Workshop Proceedings

ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC

Auteurs: Junaid Ahmed Khan, Martin Molan, Matteo Angelinelli, and Andrea Bartolini
Publié dans: ICPE '24: 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Éditeur: ACM
DOI: 10.1145/3629527.3652898

Graph-Optimizer: towards predictable large-scale graph processing workloads

Auteurs: Ana Lucia Varbanescu and Andrea Bartolini
Publié dans: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineer, 2023, ISBN 979-8-4007-0072-9
Éditeur: ACM
DOI: 10.1145/3578245.3585340

Wedge-Parallel Triangle Counting for GPUs

Auteurs: Jeffrey Spaan, Kuan-Hsun Chen, David A. Bader, Ana Lucia Varbanescu
Publié dans: 2025
Éditeur: Springer Verlag

Assessing Tenstorrent's RISC-V MatMul Acceleration Capabilities

Auteurs: Hiari Pizzini Cavagna, Daniele Cesarini, Andrea Bartolini
Publié dans: 2025
Éditeur: Cornell University
DOI: 10.48550/ARXIV.2505.06085

Large-scale Graph Processing and Simulation with Serverless Workflows in Federated FaaS

Auteurs: Sashko Ristov, Reza Farahani, Radu Prodan
Publié dans: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Éditeur: Association for Computing Machinery
DOI: 10.1145/3578245.3585333

Towards Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe

Auteurs: Radu Prodan, Dragi Kimovski, Andrea Bartolini, Michael Cochez, Alexandru Iosup,Evgeny Kharlamov,Joze Rozanec,Laurentiu Vasiliu,Ana Lucia Varbanescu
Publié dans: 2022 IEEE Cloud Summit, 2022, ISBN 978-1-6654-5113-0
Éditeur: IEEE
DOI: 10.1109/CloudSummit54781.2022.00010

Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning

Auteurs: Joze Rozanec, Michael Cochez, Ruud van Bakel, Brian Elvesæter, Dumitru Roman
Publié dans: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Éditeur: Association for Computing Machinery
DOI: 10.1145/3578245.3585338

A Comparative Study of Streaming Graph Processing Systems

Auteurs: Shaoshuai Du, Jože M. Rožanec, Ana Lucia Varbanescu, Andy D. Pimentel
Éditeur: Springer

Towards ML-Driven Video Encoding Parameter Selection for Quality and Energy Optimization

Auteurs: Zoha Azimi; Reza Farahani; Vignesh V. Menon; Christian Timmerer; Radu Prodan
Publié dans: 2024 16th International Conference on Quality of Multimedia Experience (QoMEX), 2024, ISSN 2472-7814
Éditeur: IEEE
DOI: 10.1109/QoMEX61742.2024.10598278

Studies in Computational Intelligence

Auteurs: Gåsvær, Kaspara Skovli; Lind, Pedro G.; Langguth, Johannes; Hjorth-Jensen, Morten; Kreil, Michael; Schroeder, Daniel Thilo
Publié dans: COMPLEX NETWORKS 2023 The 12th International Conference on Complex Networks and their Applications, 2023, ISSN 1860-949X
Éditeur: Springer
DOI: 10.48550/arxiv.2310.05542

Boosting the Impact of Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe Graph-Massivizer: A Horizon Europe Project

Auteurs: Nuria de Lama Sanchez, Peter Haase, Dumitru Roman, Radu Prodan
Publié dans: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Éditeur: Association for Computing Machinery
DOI: 10.1145/3578245.3585334

Go-Network: a graph sampling library written in Go

Auteurs: Jože M. Rožanec and Matias Rožanec
Publié dans: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Éditeur: ACM
DOI: 10.1145/3629527.3652903

SimLess: simulate serverless workflows and their twins and siblings in federated FaaS

Auteurs: Sashko Ristov, Mika Hautz, Christian Hollaus, Radu Prodan
Publié dans: SoCC '22: Proceedings of the 13th Symposium on Cloud Computing, 2022, ISBN 978-1-4503-9414-7
Éditeur: Association for Computing Machinery, New York, NY, United States
DOI: 10.1145/3542929.3563478

Extreme and Sustainable Graph Processing for GreenFinance Investment and Trading

Auteurs: Laurentiu Alexandru Vasiliu, Dumitru Roman, Radu Prodan
Publié dans: ICPE '23: ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Éditeur: Association for Computing Machinery, New York, NY, United States
DOI: 10.1145/3578245.3585337

Comparison of Microservice Call Rate Predictions for Replication in the Cloud

Auteurs: Narges Mehran, Arman Haghighi, Pedram Aminharati, Nikolay Nikolov, Ahmet Soylu, Dumitru Roman, Radu Prodan
Publié dans: 16th IEEE/ACM International Conference on Utility and Cloud Computing, 2023, ISSN 2373-6860
Éditeur: IEEE/ACM
DOI: 10.1145/3603166.3632566

FootPrinter: Quantifying Data Center Carbon Footprint

Auteurs: Dante Niewenhuis, Sacheendra Talluri, Alexandru Iosup, Tiziano De Matteis
Publié dans: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISSN 79-8-4007-0445-1
Éditeur: ACM
DOI: 10.1145/3629527.3651419

GraphMa: Towards new Models for Pipeline-Oriented Computation on Graphs

Auteurs: Daniel Thilo Schroeder, Tobias Herb, Brian Elvesæter, and Dumitru Roman
Publié dans: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Éditeur: ACM
DOI: 10.1145/3629527.3652894

MCBound: An Online Framework to Characterize and Classify Memory/Compute-bound HPC Jobs

Auteurs: Francesco Antici, Andrea Bartolini, Zeynep Kiziltan, Ozalp Babaoglu, Yuetsu Kodama
Publié dans: SC24: International Conference for High Performance Computing, Networking, Storage and Analysis, 2024
Éditeur: IEEE
DOI: 10.1109/SC41406.2024.00062

Evaluation of a Representative Selection of SPARQL Query Engines using Wikidata

Auteurs: An Ngoc Lam, Brian Elvesæter & Francisco Martin-Recuerda
Publié dans: The Semantic Web. ESWC 2023, 2023, ISSN 0302-9743
Éditeur: Springer
DOI: 10.1007/978-3-031-33455-9_40

Towards InnoGraph: A Knowledge Graph for AI Innovation

Auteurs: M.Besher Massri; Blerina Spahiu; Marko Grobelnik; Vladimir Alexiev; Matteo Palmonari; Dumitru Roman
Publié dans: WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023, 2023, ISBN 978-1-4503-9419-2
Éditeur: Association for Computing Machinery New York, NY United States
DOI: 10.1145/3543873.3587614

Matching-based Scheduling of Asynchronous Data Processing Workflows on the Computing Continuum

Auteurs: Narges Mehran; Zahra Najafabadi Samani; Dragi Kimovski; Radu Prodan
Publié dans: 2022 IEEE International Conference on Cluster Computing (CLUSTER), 2022, ISSN 2168-9253
Éditeur: IEEE
DOI: 10.1109/CLUSTER51413.2022.00021

Graph Neural Networks for Anomaly Anticipation in HPC Systems

Auteurs: Martin Molan, Junaid Ahmed Khan, Andrea Borghesi, Andrea Bartolini
Publié dans: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Éditeur: Association for Computing Machinery
DOI: 10.1145/3578245.3585335

Graph Sampling Quality Prediction for Algorithm Recommendation

Auteurs: S. Haleh S. Dizaji, Reza Farahani, Jože M. Rožanec, Dragi Kimovski, Ahmet Soylu, Radu Prodan
Publié dans: 2024 IEEE 31st International Conference on High Performance Computing, Data, and Analytics (HiPC), 2025
Éditeur: IEEE
DOI: 10.1109/HIPC62374.2024.00032

Influence Maximization in Dynamic Networks Using Reinforcement Learning

Auteurs: S. Haleh S. Dizaji, Kishor Patil & Konstantin Avrachenkov
Publié dans: SN Computer Science, 2024, ISSN 2661-8907
Éditeur: Springer
DOI: 10.1007/s42979-023-02453-1

The REGALE Library: A DDS Interoperability Layer for the HPC PowerStack

Auteurs: Giacomo Madella, Federico Tesser, Lluis Alonso, Julita Corbalan, Daniele Cesarini, Andrea Bartolini
Publié dans: Journal of Low Power Electronics and Applications, Numéro 15, 2025, ISSN 2079-9268
Éditeur: MDPI AG
DOI: 10.3390/JLPEA15010010

Incremental Multilayer Resource Partitioning for Application Placement in Dynamic Fog

Auteurs: Zahra Najafabadi Samani; Narges Mehran; Dragi Kimovski; Shajulin Benedict; Nishant Saurabh; Radu Prodan,
Publié dans: IEEE Transactions on Parallel and Distributed Systems, 2023, ISSN 1045-9219
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TPDS.2023.3262695

EXASAGE: The first data center operational data analysis assistant

Auteurs: Junaid Ahmed Khan, Martin Molan, Andrea Bartolini
Publié dans: Future Generation Computer Systems, Numéro 176, 2025, ISSN 0167-739X
Éditeur: Elsevier BV
DOI: 10.1016/J.FUTURE.2025.108185

BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs

Auteurs: Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, and Paul Groth
Publié dans: Journal of Biomedical Semantics, 2023, ISSN 2041-1480
Éditeur: Springer Nature
DOI: 10.1186/s13326-023-00301-y

Serverless Computing: What It Is, and What It Is Not?

Auteurs: Samuel Kounev, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup, Ian Foster, Prashant Shenoy, Omer Rana, and Andrew A. Chien
Publié dans: Communications of the ACM, Volume 66, Numéro 9, 2023, ISSN 0001-0782
Éditeur: Association for Computing Machinary, Inc.
DOI: 10.1145/3587249

The computing continuum: From IoT to the cloud

Auteurs: Auday Al-Dulaimy, Matthijs Jansen, Bjarne Johansson, Animesh Trivedi, Alexandru Iosup, Mohammad Ashjaei, Antonino Galletta, Dragi Kimovski, Radu Prodan, Konstantinos Tserpes, George Kousiouris, Chris Giannakos, Ivona Brandic, Nawfal Ali, André B. Bondi
Publié dans: Internet of Things, 2024, ISSN 2542-6605
Éditeur: Elsevier
DOI: 10.1016/j.iot.2024.101272

Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines

Auteurs: Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Dumitru Roman, Bekir Sahin, Christoph Bussler and Ahmet Soylu
Publié dans: Sensors, 2023, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23020564

Container-Based Data Pipelines on the Computing Continuum for Remote Patient Monitoring

Auteurs: Nikolov, Nikolay; Solberg, Arnor; Prodan, Radu; Soylu, Ahmet; Matskin, Mihhail; Roman, Dumitru
Publié dans: Computer, 2023, ISSN 0018-9162
Éditeur: IEEE
DOI: 10.1109/MC.2023.3285414

An online algorithm for power consumption prediction of HPC workload

Auteurs: Francesco Antici, Andrea Borghesi, Zeynep Kiziltan, Jens Domke, Andrea Bartolini
Publié dans: Future Generation Computer Systems, Numéro 175, 2026, ISSN 0167-739X
Éditeur: Elsevier BV
DOI: 10.1016/J.FUTURE.2025.108064

Cloud storage cost: a taxonomy and survey

Auteurs: Akif Quddus Khan, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman & Ahmet Soylu
Publié dans: World Wide Web, 2024, ISSN 1386-145X
Éditeur: Baltzer Science Publishers B.V.
DOI: 10.1007/s11280-024-01273-4

Serverless Electrocardiogram Stream Processing in Federated Clouds With Lambda Architecture

Auteurs: Sashko Ristov, Marjan Gusev, Armin Hohenegger,Radu Prodan,Dimitar Mileski,Pano Gushev,Goran Temelkov
Publié dans: Computer, 2023, ISSN 0018-9162
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/MC.2023.3281873

F-DATA: A Fugaku Workload Dataset for Job-centric Predictive Modelling in HPC Systems

Auteurs: Francesco Antici, Andrea Bartolini, Jens Domke, Zeynep Kiziltan, Keiji Yamamoto
Publié dans: Scientific Data, Numéro 12, 2025, ISSN 2052-4463
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41597-025-05633-1

M100 ExaData: a data collection campaign on the CINECA’s Marconi100 Tier-0 supercomputer

Auteurs: Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi & Andrea Bartolini
Publié dans: Scientific Data, 2023, ISSN 2052-4463
Éditeur: Springer Nature
DOI: 10.1038/s41597-023-02174-3

A transformer-based approach for source code classification for heterogeneous device mapping

Auteurs: Marco Siino, Emanuele Parisi, Francesco Barchi, Andrea Acquaviva, Andrea Bartolini
Publié dans: Engineering Applications of Artificial Intelligence, Numéro 163, 2026, ISSN 0952-1976
Éditeur: Elsevier BV
DOI: 10.1016/J.ENGAPPAI.2025.112987

A knowledge graph approach to predict and interpret disease-causing gene interactions

Auteurs: Alexandre Renaux; Chloé Terwagne; Michael Cochez; Ilaria Tiddi; Ann Nowé; Tom Lenaerts
Publié dans: BMC Bioinformatics, 2023, ISSN 1471-2105
Éditeur: BMC Bioinformatics - Springer Nature
DOI: 10.1186/s12859-023-05451-5

GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems

Auteurs: Martin Molan, Mohsen Seyedkazemi Ardebili, Junaid Ahmed Khan, Francesco Beneventi, Daniele Cesarini, Andrea Borghesi, Andrea Bartolini
Publié dans: Future Generation Computer Systems, 2024, ISSN 0167-739X
Éditeur: Elsevier BV
DOI: 10.1016/j.future.2024.06.032

GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs

Auteurs: Ruijie Wang, Luca Rossetto, Michael Cochez, Abraham Bernstein
Publié dans: 2024

An Integrated Approach Using Ontologies, Knowledge Graphs, Machine Learning, and Rules Models for Synthetic Financial Time Series Generation

Auteurs: Laurentiu Vasiliu, Radu Prodan, Ahmet Soylu, Dumitru Roman
Éditeur: CEUR

Software Architectures for AI Systems: State of Practice and Challenges

Auteurs: Ian Gorton, Foutse Khomh, Valentina Lenarduzzi, Claudio Menghi & Dumitru Roman
Publié dans: Software Architecture: Research Roadmaps from the Community, 2023, ISBN 978-3-031-36847-9
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-36847-9_2

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