ENABLING THE BIG DATA PIPELINE LIFECYCLE ON THE COMPUTING CONTINUUM

Risultati finali

Applications and appliances repository v1

D41 provides an initial release of the applications and appliances repository that will provide the SDK anddeployment workflow for application developers This first release will primarily focus on the interfaces that Task43 needs to start integrating the repository with the marketplace

Big Data pipeline definition and simulation tool v1

D32 describes the initial release of the Big Data pipeline definition using pluggable container templates tocompose multistep pipelines The tooling will demonstrate the integration with the deployment and orchestrationcomponents of the DataCloud toolbox The first release will include an initial version of the simulation frameworkthat will enable testing Big Data pipelines before deployment

Data-aware resource provisioning across the Computing Continuum

D51 describes the resource provisioning strategies and their integration in the DataCloud toolbox Furthermore it will provide technical details on the development of the provisioning algorithms and their performance analysis

Plans for ecosystem building, exploitation, and dissemination

D71 provides a roadmap of dissemination exploitation and other support actions planned for the project

Design methodology for Big Data pipelines

D31 gathers the requirements for defining the Big Data pipeline DSL interfacing with other DataCloud tools andthe business case requirements It will define the concepts serialization and visual representation of the DSL andwill provide the basic design of the Big Data pipeline platform based on the highlevel APIs between components

GDPR and ethics requirements v1

D13 describes all the legal and ethical aspects covered by DataCloud owners service providers data providers as data sources and users motivations data exploitation in terms of data usage and exploitationNote the content of this deliverable will overlap with the content of deliverables D91D92 which were automatically added to WP9

Techniques for Big Data extraction, processing and pipeline discovery

D21 investigates the existing literature approaches for big data extraction processing and pipeline discovery anddelivers novel techniques and algorithms that enhance the existing approaches

Pubblicazioni

Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming

Autori: C.X. Chu, M.H. Gad-Elrab, T.K. Tran, M. Schiller, E. Kharlamov, D. Stepanova
Pubblicato in: ESWC 2023, 2023
Editore: IEEE
DOI: 10.1007/978-3-031-43458-7_38

Locality-Aware Workflow Orchestration for Big Data

Autori: Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir H.; Roman, Dumitru
Pubblicato in: Numero 4, 2021
Editore: ACM
DOI: 10.1145/3444757.3485106

Big Data Pipelines on the Computing Continuum: Ecosystem and Use Cases Overview

Autori: D. Roman, N. Nikolov, B. Elvester, A. Soylu, R. Prodan, D. Kimovski, A. Marrella, F. Leotta, D. Benvenuti, M. Matskin, G. Ledakis, A. Simonet-Boulogne, F. Perales, E. Kharlamov, A. Ulisses, A. Solberg, R. Ceccarelli
Pubblicato in: 2021
Editore: IEEE
DOI: 10.1109/iscc53001.2021.9631410

Multilayer Resource-aware Partitioning for Fog Application Placement

Autori: Zahra Najafabadi Samani; Nishant Saurabh; Radu Prodan
Pubblicato in: Numero 5, 2021
Editore: IEEE
DOI: 10.1109/ICFEC51620.2021.00010

Comparison of Microservice Call Rate Predictions for Replication in the Cloud

Autori: N. Mehran, A. Haghighi, P. Aminharati, N. Nikolov, D. Roman, A. Soylu, R. Prodan
Pubblicato in: DML-ICC (UCC'23), 2023
Editore: ZENODO
DOI: 10.1145/3603166.3632566

An Interactive Approach to Support Event Log Generation for Data Pipeline Discovery

Autori: Dario Benvenuti; Leonardo Falleroni; Andrea Marrella; Fernando Perales
Pubblicato in: IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), 2022, Pagina/e pp. 1172-1177, ISBN 978-1-6654-8810-5
Editore: IEEE
DOI: 10.1109/compsac54236.2022.00184

Tracking Data Visual Representations for Sports Broadcasting Enrichment

Autori: Couceiro, M.; Rito Lima, I.; Ulisses, A.; Mendes-Neves, T. and Mendes-Moreira, J.
Pubblicato in: In Proceedings of the 10th International Conference on Sport Sciences Research and Technology Support - icSPORTS, Numero 27-28 October 2022, 2022, Pagina/e pp.125-131
Editore: Proceedings of the 10th International Conference on Sport Sciences Research and Technology Support - icSPORTS
DOI: 10.5220/0011551900003321

Dataclouddsl: Textual and Visual Presentation of Big Data Pipelines

Autori: S.Tahmasebi, A. Layegh, N. Nikolov, A. H. Payberah, K. Dinh, V. Mitrovic, D. Roman, M. Matskin
Pubblicato in: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), Los Alamitos, CA, USA, 2022, Numero 27 June - 01 July 2022, 2022, Pagina/e pp. 1165-1171, ISBN 978-1-6654-8810-5
Editore: IEEE Computer Society
DOI: 10.1109/compsac54236.2022.00183

SmartRPA: A Tool to Reactively Synthesize Software Robots from User Interface Logs.

Autori: S. Agostinelli, M. Lupia, A. Marrella, M. Mecella
Pubblicato in: 33rd International Conference on Advanced Information Systems Engineering (CAiSE'21), Forum Track, Numero https://link.springer.com/chapter/10.1007/978-3-030-79108-7_16, 2021
Editore: Springer
DOI: 10.1007/978-3-030-79108-7_16

Towards Graph-based Cloud Cost Modelling and Optimisation

Autori: A. Q. Khan, N. Nikolov, M. Matskin, R. Prodan, C. Bussler, D. Roman, A. Soylu
Pubblicato in: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 2023
Editore: IEEE
DOI: 10.1109/compsac57700.2023.00203

Towards A Visualisation Ontology for Reusable Visual Analytics

Autori: Zhipeng, Tan. Baifan, Zhou. Zhuoxun, Zheng. Dongzhuoran, Zhou. Ognjen, Savkovic. Evgeny, Kharlamov
Pubblicato in: Proceedings of the 11th International Joint Conference on Knowledge Graphs, 2022
Editore: ACM
DOI: 10.1145/3579051.3579074

Software Architectures for AI Systems: State of Practice and Challenges

Autori: I. Gorton, F. Khomh, V. Lenarduzzi, C. Menghi, D. Roman
Pubblicato in: 2023
Editore: Springer
DOI: 10.1007/978-3-031-36847-9_2

Towards Environment-Dependent Model Switching for Performance and Accuracy Conscious Object Detection in Day- and Nighttime Urban Traffic Environments

Autori: K. Schmidt, S. Jut
Pubblicato in: IEEE COMPSAC 2023, 2023
Editore: IEEE
DOI: 10.1109/compsac57700.2023.00016

DataCloud: Enabling the Big Data Pipelines on the Computing Continuum

Autori: Roman, Dumitru; Nikolov, Nikolay; Elvesæter, Brian; Soylu, Ahmet; Radu, Prodnan; Kimovski, Dragi; Marrella, Andrea; Leotta, Francesco Sapienza University of Rome, Rome, Italy ; Benvenuti, Dario; Matskin, Mihhail; Ledakis, Giannis; Simonet-Boulogne, Anthony; Perales, Fernando; Kharlamov, Evgeny Bosch Center for Artificial Intelligence, Renningen, Germany ; Ulisses, Alexandre; Solberg, Arnor; Cecca
Pubblicato in: 2021
Editore: Springer
DOI: 10.1007/978-3-030-75018-3

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

Autori: Amirhossein Layegh; Amir H. Payberah; Ahmet Soylu; Dumitru Roman; Mihhail Matskin
Pubblicato in: IEEE COMPSAC 2023, 2023
Editore: IEEE conference proceedings
DOI: 10.1109/compsac57700.2023.00038

Discovering DataOps: A Comprehensive Review of Definitions, Use Cases, and Tools

Autori: Kiran, Mainali; Lisa, Ehrlinger; Johannes, Himmelbauer; Mihhail, Matskin.
Pubblicato in: DATA ANALYTICS 2021: The 10th International Conference on Data Analytics, Numero 3-7 October, 2021, 2021, Pagina/e pp. 61-69, ISBN 978-1-61208-891-4
Editore: IARIA

Knowledge Graph-Based Semantic System for Visual Analytics in Automatic Manufacturing

Autori: Zhuoxun, Zheng. Baifan, Zhou. Dongzhuoran, Zhou. Zhipeng, Tan. Ognjen, Savkovic. Hui, Yang. Yujia, Zhang. Evgeny, Kharlamov
Pubblicato in: Proceedings of the ISWC 2022 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 21st International Semantic Web Conference (ISWC 2022), 2022
Editore: CEUR-WS.org

https://link.springer.com/chapter/10.1007/978-3-031-47243-5_21

Autori: Nikolay, Nikolov. Baifan, Zhou. Zhuoxun, Zheng. Xianghui, Luo. Ognjen, Savkovic. Dumitru, Roman. Ahmet Soylu, Evgeny Kharlamov
Pubblicato in: International Semantic Web Conference In-Use track, 2023
Editore: Springer
DOI: 10.48550/arxiv.2308.01094

CNN-assisted Road Sign Inspection on the Computing Continuum

Autori: Narges Mehran; Radu Prodan
Pubblicato in: 2nd Workshop on Distributed Machine Learning for the Intelligent Computing Continuum (DML-ICC), 2022
Editore: IEEE
DOI: 10.1109/ucc56403.2022.00038

Executable Knowledge Graphs for Machine Learning: A Bosch Case of Welding Monitoring

Autori: Zhuoxun, Zheng. Baifan, Zhou. Dongzhuoran, Zhou. Xianda, Zheng. Gong, Cheng. Ahmet, Soylu. Evgeny, Kharlamov
Pubblicato in: The Semantic Web – ISWC 2022, 2022
Editore: Springer
DOI: 10.1007/978-3-031-19433-7_45

Discovering Declarative Process Model Behavior from Event Logs via Model Learning

Autori: Simone Agostinelli; Giacomo Bergami; Alessio Fiorenza; Fabrizio Maria Maggi; Andrea Marrella; Fabio Patrizi
Pubblicato in: 3rd International Conference on Process Mining (ICPM'21), 2021
Editore: IEEE
DOI: 10.1109/icpm53251.2021.9576870

Towards Cloud Storage Tier Optimization with Rule-based Classification

Autori: A. Khan, N. Nikolov, M. Matskin, R. Prodan, C. Bussler, D. Roman, A. Soylu
Pubblicato in: 10th European Conference On Service-Oriented And Cloud Computing, 2023
Editore: SPRINGER
DOI: 10.1007/978-3-031-46235-1_13

The Computing Fleet: Managing Microservices-based Applications on the Computing Continuum

Autori: D. Roman, H. Song. K. Loupos, T. Krousarlis, A. Soylu, A. Skarmeta
Pubblicato in: 2022
Editore: IEEE

Aligning Data-Aware Declarative Process Models and Event Logs

Autori: G. Bergami, F. M. Maggi, A. Marrella, M. Montali
Pubblicato in: 19th International Conference on Business Process Management (BPM'21), 2021
Editore: Springer
DOI: 10.1007/978-3-030-85469-0_16

Context-Aware Trace Alignment with Automated Planning

Autori: G. Acitelli, M. Angelini, S. Bonomi, F. M. Maggi, A. Marrella and A. Palma.
Pubblicato in: 4th International Conference on Process Mining (ICPM), Numero 23-28 October 2022, 2022, Pagina/e pp. 104-111, ISBN 979-8-3503-9714-7
Editore: IEEE
DOI: 10.1109/icpm57379.2022.9980649

Towards Executable Knowledge Graph Translation

Autori: Zhuoxun, Zheng. Baifan, Zhou. Dongzhuoran, Zhou. Zhipeng, Tan. Egor V, Kostylev. a. Evgeny, Kharlamov
Pubblicato in: 21st International Semantic Web Conference (ISWC 2022), 2022
Editore: ceur-ws.org

Proactive SLA-aware Application Placement in the Computing Continuum

Autori: Z.N. Samani, N. Mehran, D. Kimovski, R. Prodan
Pubblicato in: 37th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2023
Editore: IEEE
DOI: 10.1109/ipdps54959.2023.00054

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
Editore: IEEE
DOI: 10.1109/cluster51413.2022.00021

Addressing the Scalability Bottleneck of Semantic Technologies at Bosch

Autori: Diego, Rincon-Yanez. Mohamed H, Gad-Elrab. Daria, Stepanova. Kien Trung, Tran. Cuong Chu, Xuan. Baifan, Zhou. Evgeny, Kharlamov
Pubblicato in: 20th International Conference, ESWC 2023, 2023
Editore: Springer
DOI: 10.1007/978-3-031-43458-7_33

Preemptive online scheduling in the Computing Continuum

Autori: H. Platter
Pubblicato in: 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), 2022
Editore: IEEE
DOI: 10.1109/ucc56403.2022.00057

A Two-Sided Matching Model for Data Stream Processing in the Cloud - Fog Continuum

Autori: Narges Mehran; Dragi Kimovski; Radu Prodan
Pubblicato in: 21st IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing, 2021
Editore: IEEE
DOI: 10.1109/CCGrid51090.2021.00061

MPEC2: Multilayer and Pipeline Video Encoding on the Computing Continuum

Autori: Samira Afzal; Zahra Najafabadi Samani; Narges Mehran; Christian Timmerer; Radu Prodan
Pubblicato in: 21st IEEE International Symposium on Network Computing and Applications (NCA 2022), Numero 13, 2022
Editore: IEEE
DOI: 10.1109/nca57778.2022.10013519

SimLess: Simulate Serverless Workflows and Their Twins and Siblings in Federated FaaS

Autori: S. Ristov, M. Hautz, C. Hollaus, R. Prodan
Pubblicato in: SoCC '22: Proceedings of the 13th Symposium on Cloud Computing, 2022
Editore: ACM
DOI: 10.1145/3542929.3563478

A Reference Data Model to Specify Event Logs for Big Data Pipeline Discovery

Autori: D. Benvenuti, A. Marrella, J. Rossi, N. Nikolov, D. Roman, A. Soylu, F. Perales
Pubblicato in: 21st International Conference on Business Process Management (BPM 2023), 2023
Editore: Springer
DOI: 10.1007/978-3-031-41623-1_3

A Survey of Big Data Pipeline Orchestration Tools from the Perspective of the DataCloud Project

Autori: M. Matskin, S. Tahmasebi, A. Layegh, A. Payberah, A. Thomas, N. Nikolov, D. Roman
Pubblicato in: 2021
Editore: ResearchGate

Scheduling of Distributed Applications on the Computing Continuum: A Survey

Autori: Mehran, Narges
Pubblicato in: INTEL4EC (UCC'23), 2023
Editore: IEEE
DOI: 10.1145/3603166.3632540

Exploring the Challenge of Automated Segmentation in Robotic Process Automation

Autori: Agostinelli, Simone; Marrella, Andrea; Mecella, Massimo
Pubblicato in: Numero 3, 2021
Editore: Springer
DOI: 10.1007/978-3-030-75018-3_3

TRANSQL: A Transformer-based Model for Classifying SQL Queries

Autori: S. Tahmasebi, A. H. Payberah†, A. Soylu, D. Roman, M. Matskin
Pubblicato in: 21st IEEE International Conference on Machine Learning and Applications, Numero 12-4 December 2022, 2022
Editore: IEEE

Machine Learning Based Resource Utilization Prediction in the Computing Continuum

Autori: Christian, Bauer
Pubblicato in: IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2023
Editore: IEEE
DOI: 10.5281/zenodo.10203854

A Data-Centric Approach to Design Resilient-Aware Process Models in BPMN

Autori: Simone, Agostinelli; Francesca, De Luzi; Umberto, di Canito; Jacopo, Ferraro; Andrea, Marrella; Massimo, Mecella
Pubblicato in: Business Process Management Forum. BPM 3933. Lecture Notes in Business Information Processing, Numero Vol. 458, September 11–16, 2022, 2022, ISBN 978-3-031-16171-1
Editore: Springer, Cham
DOI: 10.1007/978-3-031-16171-1_3

A Human-in-the-Loop Approach to Support the Segments Compliance Analysis

Autori: S. Agostinelli, G. Acitelli, M. Capece, M. Mecella
Pubblicato in: Robotic Process Automation Forum at 20th International Conference on Business Process Management (BPM 2022), 2022
Editore: Springer
DOI: 10.1007/978-3-031-16168-1_13

Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch

Autori: Zhuoxun, Zheng. Baifan, Zhou. Dongzhuoran, Zhou. Ahmet, Soylu. Evgeny, Kharlamov
Pubblicato in: Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM '22), 2022
Editore: ACM
DOI: 10.1145/3511808.3557512

Context-aware Data Plausibility Check Using Machine Learning

Autori: Mohaddeseh, Basiri; Johannes, Himmelbauer; Lisa, Ehrlinger; Mihhail, Matskin.
Pubblicato in: he Fourteenth International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2022), Numero 22-26 May, 2022, 2021, Pagina/e p. 73
Editore: IARIA Journals

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

Autori: Zhipeng, Tan. Baifan, Zhou. Zhuoxun, Zheng. Dongzhuoran, Zhou. Ognjen, Savkovic. Ziqi, Huang. Irlan-Grangel, Gonzalez. Ahmet, Soylu. Evgeny, Kharlamov
Pubblicato in: International Semantic Web Conference In-Use track, 2023
Editore: Springer
DOI: 10.48550/arxiv.2308.01105

An SQL-Based Declarative Process Mining Framework for Analyzing Process Data Stored in Relational Databases

Autori: F. Riva, D. Benvenuti, F. M. Maggi, A. Marrella, M. Montali
Pubblicato in: 21st International Conference on Business Process Management (BPM 2023), 2023
Editore: Springer
DOI: 10.1007/978-3-031-41623-1_13

ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics

SIM-PIPE DryRunner: An approach for testing container-based big data pipelines and generating simulation data

Autori: Aleena Thomas; Nikolay Nikolov; Antoine Pultier; Dumitru Roman; Brian Elvesaeter; Ahmet Soylu
Pubblicato in: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), 2022
Editore: IEEE
DOI: 10.1109/compsac54236.2022.00182

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: 20th International Conference, ESWC 2023, 2023
Editore: Springer
DOI: 10.48550/arxiv.2305.02966

Big Data Pipeline Scheduling and Adaptation on the Computing Continuum

Autori: D. Kimovski, C. Bauer, N. Mehran and R. Prodan
Pubblicato in: 022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), Los Alamitos, CA, USA, 2022, Numero 27 June - 01 July 2022, 2022, Pagina/e pp. 1153-1158, ISBN 978-1-6654-8810-5
Editore: IEEE Computer Society
DOI: 10.1109/compsac54236.2022.00181

The Data Value Quest: A Holistic Semantic Approach at Bosch

Autori: Zhou, Baifan; Zheng, Zhuoxun; Zhou, Dongzhuoran; Cheng, Gong; Jimenez-Ruiz, Ernesto; Trung-Kien, Tran; Stepanova, Daria; Gad-Elrab, Mohamed H.; Nikolov, Nikolay; Soylu, Ahmet; Kharlamov, Evgeny
Pubblicato in: The Semantic Web: ESWC 2022 Satellite Events, Hersonissos, Crete, Greece,, Numero May 29-June 2, 2022, 2022, ISBN 978-3-031-11609-4
Editore: Springer, Cham
DOI: 10.1007/978-3-031-11609-4_42

Big Data Pipeline Discovery through Process Mining: Challenges and Research Directions

Autori: Simone Agostinelli; Dario Benvenuti; Francesca De Luzi; Andrea Marrella
Pubblicato in: Numero 3, 2021
Editore: N/A
DOI: 10.5281/zenodo.5817117

A Survey of Big Data Pipeline Orchestration Tools from thePerspective of the DataCloud Project

Autori: M. Matskin, S. Tahmasebi, A. Layegh, A. Payberah, A. Thomas, N. Nikolov, D. Roman
Pubblicato in: DATA ANALYTICS 2021 : The Tenth International Conference on Data Analytics, 2021
Editore: Researchgate

YOLOv4-object: an Efficient Model and Method for Object Discovery

Autori: M. Ning, Y. Lu, W. Hou, M. Matskin
Pubblicato in: 2021
Editore: IEEE
DOI: 10.1109/compsac51774.2021.00016

Let the Asset Decide: Digital Twins with Knowledge Graphs

Autori: M. Waszak, A. N. Lam, V. Hoffmann, B. Elvesæter, M. F. Mogos and D. Roman
Pubblicato in: 2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C), Honolulu, HI, USA, 2022, Numero 12-15 March 2022, 2022, Pagina/e pp. 35-39, ISBN 978-1-6654-9493-9
Editore: IEEE Computer Society
DOI: 10.1109/icsa-c54293.2022.00014

VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing Instances

Autori: S. Afzal, N. Mehran, S. Linder, C. Timmerer, R. Prodan
Pubblicato in: Proceedings of the First International Workshop on Green Multimedia Systems (GMSys '23), 2023
Editore: ACM
DOI: 10.1145/3593908.3593943

Interactive Segmentation of User Interface Logs

Autori: S. Agostinelli, F. Leotta, A. Marrella
Pubblicato in: 19th International Conference on Service-Oriented Computing (ICSOC'21), 2021
Editore: Springer
DOI: 10.1007/978-3-030-91431-8_5

Development of a Reference Model to Specify and Analyze Event Logs for Data Pipeline Discovery

Autori: Jacopo Rossi
Pubblicato in: 2023
Editore: University of Rome

Context-aware Data Plausibility Check Using Machine Learning

Autori: B. Mohaddeseh
Pubblicato in: 2023
Editore: KTH

A Process-Based Approach to Simulate Production Planning of Manufacturing Companies in the Computing Continuum

Autori: Matteo Marinacci
Pubblicato in: 2023
Editore: University of Rome

Big Data Workflows: DSL-based Specification and Software Containers for Scalable Execution

Autori: Y. Dessalk
Pubblicato in: 2023
Editore: KTH

Imagery Integration Into Mobile Crowdsourcing Systems

Autori: J. Dautaras
Pubblicato in: 2023
Editore: KTH

Big Data Pipeline Discovery through Process Mining

Autori: Chiara Esposito
Pubblicato in: 2022
Editore: University of Rome

Visualization of Big Data Pipeline Simulation Scenarios of a Manufacturing Company

Autori: Bosi Lou
Pubblicato in: 2023
Editore: University of Rome

Optimization of Speed vs. Accuracy Trade-off in State-of-the-Art Object Detectors for Traffic Light Detection

Autori: V. LalDodani
Pubblicato in: 2023
Editore: KTH

Long Short-Term Memory based adaptive scheduling for big data pipelines across the computing continuum

Autori: C. Bauer
Pubblicato in: 2023
Editore: University of Klagenfurt

Investigate the challenges and opportunities of MLOps

Autori: T. Yau
Pubblicato in: 2023
Editore: KTH

Resource-aware time-critical application placement in the computing continuum

Autori: Z. Najafabadi Samani
Pubblicato in: 2023
Editore: University of Klagenfurt

The Internet of Things and Cloud Computing

Autori: N. Merhan
Pubblicato in: 2023
Editore: Linkedin

Applications of Automated Planning for Business Process Management

Autori: A. Marrella, T. Chakraborti
Pubblicato in: 19th International Conference on Business Process Management (BPM 2021), 2021
Editore: Springer
DOI: 10.1007/978-3-030-85469-0_4

Edge infrastructure traces

Autori: Zahra Najafabadi Samani, Narges Mehran, Dragi Kimovski, Josef Hammer, & Radu Prodan
Pubblicato in: 2022
Editore: ZENODO - Open data
DOI: 10.5281/zenodo.7311294

Simulated XES event log of a marketing campaign system

Autori: D. Benvenuti, A. Marrella, F. Perales
Pubblicato in: Simulated XES event log of a marketing campaign system, 2022
Editore: ZENODO
DOI: 10.5281/zenodo.7387553

Mastering Robotic Process Automation with Process Mining

Autori: Agostinelli, S., Marrella, A., Abb, L., Rehse, JR
Pubblicato in: Lecture Notes in Computer Science, vol 13420, 2022
Editore: Publisher Name Springer, Cham
DOI: 10.1007/978-3-031-16103-2_6

Big Data Workflows: Locality-Aware Orchestration Using Software Containers

Autori: A. Corodescu, N. Nikolov, A. Q. Khan, A. Soylu, M. Matskin, A. Payberah, D. Roman
Pubblicato in: Sensors, 2021, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21248212

Mobility-Aware IoT Applications Placement in the Cloud Edge Continuum

Autori: Dragi Kimovski; Narges Mehran; Christopher Emanuel Kerth; Radu Prodan
Pubblicato in: IEEE Transactions on Services Computing, Numero 4, 2021, ISSN 1939-1374
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TSC.2021.3094322

Process mining meets model learning: Discovering deterministic finite state automata from event logs for business process analysis

Autori: S. Agostinelli, F. Chiariello, F. M. Maggi, A. Marrella, F. Patrizi
Pubblicato in: Information Systems, 2023, ISSN 0306-4379
Editore: Elsevier Science & Technology
DOI: 10.1016/j.is.2023.102180

Data-Aware Declarative Process Mining with SAT

Autori: F. M. Maggi, A. Marrella, F. Patrizi, V. Skydanienko
Pubblicato in: ACM Transactions on Intelligent Systems and Technology, 2023, ISSN 2157-6904
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3600106

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

Autori: A. Q. Khan, N. Nikolov, M. Matskin, R. Prodan, D. Roman, B. Sahin, C. Bussler, A. Soylu
Pubblicato in: Sensors, 2023, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23020564

Reactive synthesis of software robots in RPA from user interface logs

Autori: S. Agostinelli, M. Lupia, A. Marrella, M. Mecella
Pubblicato in: Computers in Industry, Numero 142, 2022, ISSN 0166-3615
Editore: Elsevier BV
DOI: 10.1016/j.compind.2022.103721

A graph-based approach for representing, integrating and analysing neuroscience data: the case of the murine basal ganglia

Autori: Maren Parnas Gulnes, Ahmet Soylu, D.Roman
Pubblicato in: Data Technologies and Applications, 2021, ISSN 2514-9288
Editore: Emerald Publishing Limited

Cloud, Fog or Edge: Where to Compute?

Autori: D. Kimovski, R. Matha, J. Hammer, N. Mehran, H. Hellwagner, R. Prodan
Pubblicato in: IEEE Internet Computing, 2021, ISSN 1941-0131
Editore: IEEE
DOI: 10.1109/mic.2021.3050613

Decentralized Machine Learning for Intelligent Health-Care Systems on the Computing Continuum

Autori: D. Kimovski, S. Ristov and R. Prodan
Pubblicato in: Computer, Numero 10, 2022, Pagina/e pp. 55-65, ISSN 1558-0814
Editore: IEEE
DOI: 10.1109/mc.2022.3142151

Building Semantic Knowledge Graphs from (Semi-)Structured Data: A Review

Autori: Vetle Ryen; Ahmet Soylu; Dumitru Roman
Pubblicato in: Future Internet 2022, 2022, ISSN 1999-5903
Editore: Future Internet
DOI: 10.3390/fi14050129

Toward blockchain-based fog and edge computing for privacy-preserving smart cities

Autori: Sengupta, Souvik & Simonet-Boulogne, Anthony & Solberg, Arnor & Sinaeepourfard, Amir & Roman, Dumitru & Perales, Fernando & Ledakis, Giannis & Plakas, Ioannis
Pubblicato in: Frontiers in Sustainable Cities, Numero 4, 2022, ISSN 2624-9634
Editore: Frontiers
DOI: 10.3389/frsc.2022.846987

Conceptualization and Scalable Execution of Big Data Workflows Using Domain-Specific Languages and Software Containers

Autori: Nikolov, Nikolay; Dessalk, Yared Dejene; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir H.; Roman, Dumitru
Pubblicato in: Journal Internet of Things, Numero 6, 2021, ISSN 2542-6605
Editore: Elsevier
DOI: 10.1016/j.iot.2021.100440

Handover Authentication Latency Reduction Using Mobile Edge Computing and Mobility Patterns

Autori: Fatima Abdullah; Dragi Kimovski; Radu Prodan; Kashif Munir
Pubblicato in: Computing, Numero 4, 2021, ISSN 1436-5057
Editore: Springer
DOI: 10.1007/s00607-021-00969-z

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

Autori: N. Nikolov, A. Solberg, R. Prodan, A. Soylu, M. Matskin, D. Roman
Pubblicato in: IEEE Computer, 2023, ISSN 0018-9162
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mc.2023.3285414

Big Data Pipelines on the Computing Continuum: Tapping the Dark Data

Autori: Dumitru Roman; Radu Prodan; Nikolay Nikolov; Ahmet Soylu; Mihhail Matskin; Andrea Marrella; Dragi Kimovski; Brian Elvesaeter; Anthony Simonet-Boulogne; Giannis Ledakis; Hui Song; Francesco Leotta; Evgeny Kharlamov
Pubblicato in: IEEE Computer Society, 2022, ISSN 0018-9162
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mc.2022.3154148

Incremental Multilayer Resource Partitioning for Application Placement in Dynamic Fog

Autori: Z. Najafabadi Samani, N. Mehran, D. Kimovski, S. Benedikt, N. Saurabh, R. Prodan
Pubblicato in: IEEE Transactions on Parallel and Distributed Systems, 2023, ISSN 1558-2183
Editore: IEEE
DOI: 10.1109/tpds.2023.3262695

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