ENABLING THE BIG DATA PIPELINE LIFECYCLE ON THE COMPUTING CONTINUUM

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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

Integrated marketplace frontend

D4.5 describes the unified frontend that integrates the applications and appliances repository with the decentralized marketplace. The release will feature a web portal similar to public Cloud services, where platform users perform common operations such as resources monitoring, revenue monitoring and Big Data pipeline progress.

Big Data pipeline definition and simulation tool v2

D3.3 provides the interim release of the Big Data pipeline definition that represents a preliminary version of thesimulation tool. It will include feedback from the evaluation of v1.

Monitoring and resource behaviour analysis

D5.4 depicts the resource monitoring architecture with specific tools for performance analysis of the provisioned resources registered in the resource marketplace. It also describes the use of the monitoring and behaviour analysis tool to improve the resource provisioning and system orchestration.

Blockchain-based decentralized marketplace v1

D4.2 describes the initial decentralized resources marketplace for the Cloud Computing Continuum, implementingthe governance rules defined in Task 1.3, market mechanisms and resource reservation. The release will alsocontain interfaces with the pipelines definition (WP3), the provisioning (WP5) and the frontend tools (T4.3).

DataCloud integrated toolbox v2

D6.5 describes the final release of the DataCloud integrated toolbox accompanied by a development, integration and use documentation.

Framework for Big Data pipeline discovery v1

D2.3 provides the initial release of the Big Data pipeline discovery framework, including a complete yet notvalidated version of the Big Data extraction, processing and pipeline discovery features. This release will alsoinclude a first version of the visual pipeline tool for and applied analytics.

Framework for Big Data pipeline discovery v2

D2.4 provides the final release of the Big Data pipeline discovery framework, fully integrated with the DataCloudtoolbox and applicable on the final business case versions.

Applications and appliances repository v2

D4.3 describes the final release of the application and appliance repository, containing improvements based on the feedback from other work packages and tasks (in particular Task 4.3) and the complete set of features for code signature, traceability and verification. D4.3 also describes the provisioned resources for the business cases.

Blockchain-based decentralized marketplace v2

D4.4 describes the final release of the decentralized resources marketplace for Computing Continuum, including improved interfaces based on the feedback from other work packages and tasks. In addition, it will feature smart contracts and oracles for collecting hardware and performance metrics, and validating SLAs on the blockchain.

Event-detection and infrastructure and deployment adaptation

D5.3 describes the explored ML algorithms for event detection during pipeline execution. Furthermore, it describes the infrastructure adaptation based on the identified events, such as reduced performance or insufficient resources.

Big Data pipeline definition and simulation tool v3

D3.4 provides the final release of the Big Data pipeline definition integrated in the simulation tool and thecontainer-based template definition, as well as the deployment and orchestration components of the DataCloudtoolbox used in the final business case versions.

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

Pipeline deployment and system orchestration

D5.2 describes the pipeline deployment tool and its integration with the resource provisioning. Moreover, it describes novel approaches for system orchestration and experimental evaluation on the pipeline performance.

DataCloud toolbox testbed

D6.2 describes the testbed and a detailed integration plan for the platform releases.

DataCloud integrated toolbox v1

D6.3 describes an early release of the DataCloud integrated toolbox accompanied by a development, integration and use documentation.

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

Techniques for Big Data pipeline analytics and visualization

D2.2 presents the set of analytics and visualization techniques implemented in the DataCloud toolbox to obtainadvanced diagnostics of the discovered Big Data pipelines.

GDPR and Ethics requirements v2

GDPR and ethics requirements v2

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

Publications

Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming

Author(s): C.X. Chu, M.H. Gad-Elrab, T.K. Tran, M. Schiller, E. Kharlamov, D. Stepanova
Published in: ESWC 2023, 2023
Publisher: IEEE
DOI: 10.1007/978-3-031-43458-7_38

Locality-Aware Workflow Orchestration for Big Data

Author(s): Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir H.; Roman, Dumitru
Published in: Issue 4, 2021
Publisher: ACM
DOI: 10.1145/3444757.3485106

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

Author(s): 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
Published in: 2021
Publisher: IEEE
DOI: 10.1109/iscc53001.2021.9631410

Multilayer Resource-aware Partitioning for Fog Application Placement

Author(s): Zahra Najafabadi Samani; Nishant Saurabh; Radu Prodan
Published in: Issue 5, 2021
Publisher: IEEE
DOI: 10.1109/ICFEC51620.2021.00010

Comparison of Microservice Call Rate Predictions for Replication in the Cloud

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

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

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

Tracking Data Visual Representations for Sports Broadcasting Enrichment

Author(s): Couceiro, M.; Rito Lima, I.; Ulisses, A.; Mendes-Neves, T. and Mendes-Moreira, J.
Published in: In Proceedings of the 10th International Conference on Sport Sciences Research and Technology Support - icSPORTS, Issue 27-28 October 2022, 2022, Page(s) pp.125-131
Publisher: 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

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

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

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

Towards Graph-based Cloud Cost Modelling and Optimisation

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

Towards A Visualisation Ontology for Reusable Visual Analytics

Author(s): Zhipeng, Tan. Baifan, Zhou. Zhuoxun, Zheng. Dongzhuoran, Zhou. Ognjen, Savkovic. Evgeny, Kharlamov
Published in: Proceedings of the 11th International Joint Conference on Knowledge Graphs, 2022
Publisher: ACM
DOI: 10.1145/3579051.3579074

Software Architectures for AI Systems: State of Practice and Challenges

Author(s): I. Gorton, F. Khomh, V. Lenarduzzi, C. Menghi, D. Roman
Published in: Software Architecture, 2023
Publisher: 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

Author(s): K. Schmidt, S. Jut
Published in: IEEE COMPSAC 2023, 2023
Publisher: IEEE
DOI: 10.1109/compsac57700.2023.00016

DataCloud: Enabling the Big Data Pipelines on the Computing Continuum

Author(s): 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
Published in: 2021
Publisher: Springer
DOI: 10.1007/978-3-030-75018-3

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

Author(s): Amirhossein Layegh; Amir H. Payberah; Ahmet Soylu; Dumitru Roman; Mihhail Matskin
Published in: IEEE COMPSAC 2023, 2023
Publisher: IEEE conference proceedings
DOI: 10.1109/compsac57700.2023.00038

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

Author(s): Kiran, Mainali; Lisa, Ehrlinger; Johannes, Himmelbauer; Mihhail, Matskin.
Published in: DATA ANALYTICS 2021: The 10th International Conference on Data Analytics, Issue 3-7 October, 2021, 2021, Page(s) pp. 61-69, ISBN 978-1-61208-891-4
Publisher: IARIA

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

Author(s): Zhuoxun, Zheng. Baifan, Zhou. Dongzhuoran, Zhou. Zhipeng, Tan. Ognjen, Savkovic. Hui, Yang. Yujia, Zhang. Evgeny, Kharlamov
Published 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
Publisher: CEUR-WS.org

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

Author(s): Nikolay, Nikolov. Baifan, Zhou. Zhuoxun, Zheng. Xianghui, Luo. Ognjen, Savkovic. Dumitru, Roman. Ahmet Soylu, Evgeny Kharlamov
Published in: International Semantic Web Conference In-Use track, 2023
Publisher: Springer
DOI: 10.48550/arxiv.2308.01094

CNN-assisted Road Sign Inspection on the Computing Continuum

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

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

Author(s): Zhuoxun, Zheng. Baifan, Zhou. Dongzhuoran, Zhou. Xianda, Zheng. Gong, Cheng. Ahmet, Soylu. Evgeny, Kharlamov
Published in: The Semantic Web – ISWC 2022, 2022
Publisher: Springer
DOI: 10.1007/978-3-031-19433-7_45

Discovering Declarative Process Model Behavior from Event Logs via Model Learning

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

Towards Cloud Storage Tier Optimization with Rule-based Classification

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

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

Author(s): D. Roman, H. Song. K. Loupos, T. Krousarlis, A. Soylu, A. Skarmeta
Published in: 2022
Publisher: IEEE

Aligning Data-Aware Declarative Process Models and Event Logs

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

Context-Aware Trace Alignment with Automated Planning

Author(s): G. Acitelli, M. Angelini, S. Bonomi, F. M. Maggi, A. Marrella and A. Palma.
Published in: 4th International Conference on Process Mining (ICPM), Issue 23-28 October 2022, 2022, Page(s) pp. 104-111, ISBN 979-8-3503-9714-7
Publisher: IEEE
DOI: 10.1109/icpm57379.2022.9980649

Towards Executable Knowledge Graph Translation

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

Proactive SLA-aware Application Placement in the Computing Continuum

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

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

Author(s): Narges Mehran; Zahra Najafabadi Samani; Dragi Kimovski; Radu Prodan
Published in: 2022 IEEE International Conference on Cluster Computing (CLUSTER), 2022
Publisher: IEEE
DOI: 10.1109/cluster51413.2022.00021

Addressing the Scalability Bottleneck of Semantic Technologies at Bosch

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

Preemptive online scheduling in the Computing Continuum

Author(s): H. Platter
Published in: 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), 2022
Publisher: IEEE
DOI: 10.1109/ucc56403.2022.00057

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

Author(s): Narges Mehran; Dragi Kimovski; Radu Prodan
Published in: 21st IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing, 2021
Publisher: IEEE
DOI: 10.1109/CCGrid51090.2021.00061

MPEC2: Multilayer and Pipeline Video Encoding on the Computing Continuum

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

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

Author(s): S. Ristov, M. Hautz, C. Hollaus, R. Prodan
Published in: SoCC '22: Proceedings of the 13th Symposium on Cloud Computing, 2022
Publisher: ACM
DOI: 10.1145/3542929.3563478

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

Author(s): D. Benvenuti, A. Marrella, J. Rossi, N. Nikolov, D. Roman, A. Soylu, F. Perales
Published in: 21st International Conference on Business Process Management (BPM 2023), 2023
Publisher: 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

Author(s): M. Matskin, S. Tahmasebi, A. Layegh, A. Payberah, A. Thomas, N. Nikolov, D. Roman
Published in: 2021
Publisher: ResearchGate

Scheduling of Distributed Applications on the Computing Continuum: A Survey

Author(s): Mehran, Narges
Published in: INTEL4EC (UCC'23), 2023
Publisher: IEEE
DOI: 10.1145/3603166.3632540

Exploring the Challenge of Automated Segmentation in Robotic Process Automation

Author(s): Agostinelli, Simone; Marrella, Andrea; Mecella, Massimo
Published in: Issue 3, 2021
Publisher: Springer
DOI: 10.1007/978-3-030-75018-3_3

TRANSQL: A Transformer-based Model for Classifying SQL Queries

Author(s): S. Tahmasebi, A. H. Payberah†, A. Soylu, D. Roman, M. Matskin
Published in: 21st IEEE International Conference on Machine Learning and Applications, Issue 12-4 December 2022, 2022
Publisher: IEEE

Machine Learning Based Resource Utilization Prediction in the Computing Continuum

Author(s): Christian, Bauer
Published in: IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2023
Publisher: IEEE
DOI: 10.5281/zenodo.10203854

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

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

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

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

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

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

Context-aware Data Plausibility Check Using Machine Learning

Author(s): Mohaddeseh, Basiri; Johannes, Himmelbauer; Lisa, Ehrlinger; Mihhail, Matskin.
Published in: he Fourteenth International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2022), Issue 22-26 May, 2022, 2021, Page(s) p. 73
Publisher: IARIA Journals

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

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

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

Author(s): F. Riva, D. Benvenuti, F. M. Maggi, A. Marrella, M. Montali
Published in: 21st International Conference on Business Process Management (BPM 2023), 2023
Publisher: 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

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

ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics

Author(s): Antonis, Klironomos. Baifan, Zhou. Zhipeng, Tan. Zhuoxun, Zheng. Gad-Elrab, Mohamed. Heiko, Paulheim. Evgeny, Kharlamov
Published in: 20th International Conference, ESWC 2023, 2023
Publisher: Springer
DOI: 10.48550/arxiv.2305.02966

Big Data Pipeline Scheduling and Adaptation on the Computing Continuum

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

The Data Value Quest: A Holistic Semantic Approach at Bosch

Author(s): 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
Published in: The Semantic Web: ESWC 2022 Satellite Events, Hersonissos, Crete, Greece,, Issue May 29-June 2, 2022, 2022, ISBN 978-3-031-11609-4
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-11609-4_42

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

Author(s): Simone Agostinelli; Dario Benvenuti; Francesca De Luzi; Andrea Marrella
Published in: Issue 3, 2021
Publisher: N/A
DOI: 10.5281/zenodo.5817117

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

Author(s): M. Matskin, S. Tahmasebi, A. Layegh, A. Payberah, A. Thomas, N. Nikolov, D. Roman
Published in: DATA ANALYTICS 2021 : The Tenth International Conference on Data Analytics, 2021
Publisher: Researchgate

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

Author(s): M. Ning, Y. Lu, W. Hou, M. Matskin
Published in: 2021
Publisher: IEEE
DOI: 10.1109/compsac51774.2021.00016

Let the Asset Decide: Digital Twins with Knowledge Graphs

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

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

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

Interactive Segmentation of User Interface Logs

Author(s): S. Agostinelli, F. Leotta, A. Marrella
Published in: 19th International Conference on Service-Oriented Computing (ICSOC'21), 2021
Publisher: 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

Author(s): Jacopo Rossi
Published in: 2023
Publisher: University of Rome

Context-aware Data Plausibility Check Using Machine Learning

Author(s): B. Mohaddeseh
Published in: 2023
Publisher: KTH

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

Author(s): Matteo Marinacci
Published in: 2023
Publisher: University of Rome

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

Author(s): Y. Dessalk
Published in: 2023
Publisher: KTH

Imagery Integration Into Mobile Crowdsourcing Systems

Author(s): J. Dautaras
Published in: 2023
Publisher: KTH

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

Author(s): V. LalDodani
Published in: 2023
Publisher: KTH

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

Author(s): C. Bauer
Published in: 2023
Publisher: University of Klagenfurt

Investigate the challenges and opportunities of MLOps

Author(s): T. Yau
Published in: 2023
Publisher: KTH

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

Author(s): Z. Najafabadi Samani
Published in: 2023
Publisher: University of Klagenfurt

The Internet of Things and Cloud Computing

Author(s): N. Merhan
Published in: 2023
Publisher: Linkedin

Applications of Automated Planning for Business Process Management

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

Edge infrastructure traces

Author(s): Zahra Najafabadi Samani, Narges Mehran, Dragi Kimovski, Josef Hammer, & Radu Prodan
Published in: 2022
Publisher: ZENODO - Open data
DOI: 10.5281/zenodo.7311294

Simulated XES event log of a marketing campaign system

Author(s): D. Benvenuti, A. Marrella, F. Perales
Published in: Simulated XES event log of a marketing campaign system, 2022
Publisher: ZENODO
DOI: 10.5281/zenodo.7387553

Mastering Robotic Process Automation with Process Mining

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

Big Data Workflows: Locality-Aware Orchestration Using Software Containers

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

Mobility-Aware IoT Applications Placement in the Cloud Edge Continuum

Author(s): Dragi Kimovski; Narges Mehran; Christopher Emanuel Kerth; Radu Prodan
Published in: IEEE Transactions on Services Computing, Issue 4, 2021, ISSN 1939-1374
Publisher: 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

Author(s): S. Agostinelli, F. Chiariello, F. M. Maggi, A. Marrella, F. Patrizi
Published in: Information Systems, 2023, ISSN 0306-4379
Publisher: Elsevier Science & Technology
DOI: 10.1016/j.is.2023.102180

Data-Aware Declarative Process Mining with SAT

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

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

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

Reactive synthesis of software robots in RPA from user interface logs

Author(s): S. Agostinelli, M. Lupia, A. Marrella, M. Mecella
Published in: Computers in Industry, Issue 142, 2022, ISSN 0166-3615
Publisher: 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

Author(s): Maren Parnas Gulnes, Ahmet Soylu, D.Roman
Published in: Data Technologies and Applications, 2021, ISSN 2514-9288
Publisher: Emerald Publishing Limited

Cloud, Fog or Edge: Where to Compute?

Author(s): D. Kimovski, R. Matha, J. Hammer, N. Mehran, H. Hellwagner, R. Prodan
Published in: IEEE Internet Computing, 2021, ISSN 1941-0131
Publisher: IEEE
DOI: 10.1109/mic.2021.3050613

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

Author(s): D. Kimovski, S. Ristov and R. Prodan
Published in: Computer, Issue 10, 2022, Page(s) pp. 55-65, ISSN 1558-0814
Publisher: IEEE
DOI: 10.1109/mc.2022.3142151

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

Author(s): Vetle Ryen; Ahmet Soylu; Dumitru Roman
Published in: Future Internet 2022, 2022, ISSN 1999-5903
Publisher: Future Internet
DOI: 10.3390/fi14050129

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

Author(s): Sengupta, Souvik & Simonet-Boulogne, Anthony & Solberg, Arnor & Sinaeepourfard, Amir & Roman, Dumitru & Perales, Fernando & Ledakis, Giannis & Plakas, Ioannis
Published in: Frontiers in Sustainable Cities, Issue 4, 2022, ISSN 2624-9634
Publisher: Frontiers
DOI: 10.3389/frsc.2022.846987

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

Author(s): Nikolov, Nikolay; Dessalk, Yared Dejene; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir H.; Roman, Dumitru
Published in: Journal Internet of Things, Issue 6, 2021, ISSN 2542-6605
Publisher: Elsevier
DOI: 10.1016/j.iot.2021.100440

Handover Authentication Latency Reduction Using Mobile Edge Computing and Mobility Patterns

Author(s): Fatima Abdullah; Dragi Kimovski; Radu Prodan; Kashif Munir
Published in: Computing, Issue 4, 2021, ISSN 1436-5057
Publisher: Springer
DOI: 10.1007/s00607-021-00969-z

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

Author(s): N. Nikolov, A. Solberg, R. Prodan, A. Soylu, M. Matskin, D. Roman
Published in: IEEE Computer, 2023, ISSN 0018-9162
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mc.2023.3285414

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

Author(s): 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
Published in: IEEE Computer Society, 2022, ISSN 0018-9162
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mc.2022.3154148

Incremental Multilayer Resource Partitioning for Application Placement in Dynamic Fog

Author(s): Z. Najafabadi Samani, N. Mehran, D. Kimovski, S. Benedikt, N. Saurabh, R. Prodan
Published in: IEEE Transactions on Parallel and Distributed Systems, 2023, ISSN 1558-2183
Publisher: IEEE
DOI: 10.1109/tpds.2023.3262695

Searching for OpenAIRE data...

Deliverables

Publications

Share this page Share this page on social networks

Download Download the content of the page