Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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).

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).

Pubblicazioni

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

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

Semi-Supervised Event Predictions with Graph Networks

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

metaphactory for Massive Graphs

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

Designing a Sustainable Serverless Graph Processing Tool on the Computing Continuum

Autori: Reza Farahani, Sashko Ristov & Radu Prodan
Pubblicato in: Euro-Par 2023: Parallel Processing Workshops, 2024, ISSN 0302-9743
Editore: Springer Verlag
DOI: 10.1007/978-3-031-48803-0_18

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

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

Proactive SLA-aware Application Placement in the Computing Continuum

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

Towards cloud storage tier optimization with rule-based classification

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

Towards Graph-based Cloud Cost Modelling and Optimisation

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

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

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

The SPEC-RG reference architecture for the edge continuum

Autori: Matthijs Jansen, Auday Al-Dulaimy, Alessandro V. Papadopoulos, Animesh Trivedi, Alexandru Iosup
Pubblicato in: 2022
DOI: 10.48550/arXiv.2207.04159

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

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

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

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

Lecture Notes in Computer Science

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

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

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

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

VEEP: Video Encoding Energy and CO2 Emission Prediction

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

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

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

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

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

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

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

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

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

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

Autori: Roberto Avogadro; Michele Ciavotta; Flavio De Paoli; Matteo Palmonari; Dumitru Roman
Pubblicato in: 2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2023, ISBN 979-8-3503-0919-5
Editore: 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

Autori: 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
Pubblicato in: The Semantic Web – ISWC 2023, 2023, ISSN 0302-9743
Editore: Springer Verlag
DOI: 10.1007/978-3-031-47243-5_9

Exploring the Utility of Graph Methods in HPC Thermal Modeling

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

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

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

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

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

ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics

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

AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks

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

Building Massive Knowledge Graphs using an Automated ETL Pipeline

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

SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples

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

Adapting Neural Link Predictors for Data-Efficient Complex Query Answering

Autori: Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein
Pubblicato in: 37th Conference on Neural Information Processing Systems, 2024
Editore: 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

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

Towards Sustainable Serverless Processing of Massive Graphs on the Computing Continuum

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning

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

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

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

Studies in Computational Intelligence

Autori: Gåsvær, Kaspara Skovli; Lind, Pedro G.; Langguth, Johannes; Hjorth-Jensen, Morten; Kreil, Michael; Schroeder, Daniel Thilo
Pubblicato in: COMPLEX NETWORKS 2023 The 12th International Conference on Complex Networks and their Applications, 2023, ISSN 1860-949X
Editore: 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

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

Go-Network: a graph sampling library written in Go

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

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

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

Extreme and Sustainable Graph Processing for GreenFinance Investment and Trading

Autori: Laurentiu Alexandru Vasiliu, Dumitru Roman, Radu Prodan
Pubblicato in: ICPE '23: ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Editore: 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

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

FootPrinter: Quantifying Data Center Carbon Footprint

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

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

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

Evaluation of a Representative Selection of SPARQL Query Engines using Wikidata

Autori: An Ngoc Lam, Brian Elvesæter & Francisco Martin-Recuerda
Pubblicato in: The Semantic Web. ESWC 2023, 2023, ISSN 0302-9743
Editore: Springer
DOI: 10.1007/978-3-031-33455-9_40

Towards InnoGraph: A Knowledge Graph for AI Innovation

Autori: M.Besher Massri; Blerina Spahiu; Marko Grobelnik; Vladimir Alexiev; Matteo Palmonari; Dumitru Roman
Pubblicato in: WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023, 2023, ISBN 978-1-4503-9419-2
Editore: 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

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

Graph Neural Networks for Anomaly Anticipation in HPC Systems

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

Influence Maximization in Dynamic Networks Using Reinforcement Learning

Autori: S. Haleh S. Dizaji, Kishor Patil & Konstantin Avrachenkov
Pubblicato in: SN Computer Science, 2024, ISSN 2661-8907
Editore: Springer
DOI: 10.1007/s42979-023-02453-1

Incremental Multilayer Resource Partitioning for Application Placement in Dynamic Fog

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

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

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

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

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

The computing continuum: From IoT to the cloud

Autori: 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
Pubblicato in: Internet of Things, 2024, ISSN 2542-6605
Editore: Elsevier
DOI: 10.1016/j.iot.2024.101272

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

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

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

Autori: Nikolov, Nikolay; Solberg, Arnor; Prodan, Radu; Soylu, Ahmet; Matskin, Mihhail; Roman, Dumitru
Pubblicato in: Computer, 2023, ISSN 0018-9162
Editore: IEEE
DOI: 10.1109/MC.2023.3285414

Cloud storage cost: a taxonomy and survey

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

Serverless Electrocardiogram Stream Processing in Federated Clouds With Lambda Architecture

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

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

Autori: 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
Pubblicato in: Scientific Data, 2023, ISSN 2052-4463
Editore: Springer Nature
DOI: 10.1038/s41597-023-02174-3

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

Autori: Alexandre Renaux; Chloé Terwagne; Michael Cochez; Ilaria Tiddi; Ann Nowé; Tom Lenaerts
Pubblicato in: BMC Bioinformatics, 2023, ISSN 1471-2105
Editore: BMC Bioinformatics - Springer Nature
DOI: 10.1186/s12859-023-05451-5

GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems

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

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

Autori: Ruijie Wang, Luca Rossetto, Michael Cochez, Abraham Bernstein
Pubblicato in: 2024

Software Architectures for AI Systems: State of Practice and Challenges

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

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