DataCloud

DataCloud

ENABLING THE BIG DATA PIPELINE LIFECYCLE ON THE COMPUTING CONTINUUM

Full project details (EU Research results portal): https://cordis.europa.eu/project/id/101016835

Project description:

DataCloud provides a novel paradigm covering the complete lifecycle of managing Big Data pipelines through discovery, design, simulation, provisioning, deployment, and adaptation across the Computing Continuum. Big Data pipelines in DataCloud interconnect the end-to-end industrial operations of collecting pre-processing and filtering data, transforming and delivering insights, training simulation models, and applying them in the cloud to achieve a business goal. DataCloud delivers a toolbox of new languages, methods, infrastructures, and prototypes for discovering, simulating, deploying, and adapting Big Data pipelines on heterogeneous and untrusted resources. DataCloud separates the design from the run-time aspects of Big Data pipeline deployment, empowering domain experts to take an active part in their definitions. The main exploitation targets the operation and monetization of the toolbox in European markets, and in the Spanish-speaking countries of Latin America. Its aim is to lower the technological entry barriers for the incorporation of Big Data pipelines in organizations’ business processes and make them accessible to a wider set of stakeholders regardless of the hardware infrastructure. DataCloud validates its plan through a strong selection of complementary business cases offered by SMEs and a large company targeting higher mobile business revenues in smart marketing campaigns, reduced production costs of sport events, trustworthy eHealth patient data management, and reduced time to production and better analytics in Industry 4.0 manufacturing. The balanced consortium consists of 11 partners from eight countries. It has three strong university partners specialised in Big Data, distributed computing, and high-productivity languages, led by a research institute. DataCloud gathers six SMEs and one large company (as technology providers and stakeholders/users/early adopters) that prioritise the business focus of the project in achieving high business impacts.

EuroVoc IDs: /medical and health sciences/health sciences/health care services/eHealth

EU Programme: Horizon Europe

EU Project

Project publications:

EU Project	Has Title	Has Category	Has Type	Has Year	Has DOI
DataCloud	Matching-based Scheduling of Asynchronous Data Processing Workflows on the Computing Continuum	Data Science, Analytics, and Data Processing	Conference proceedings	2022	https://doi.org/10.1109/cluster51413.2022.00021
DataCloud	SimLess: Simulate Serverless Workflows and Their Twins and Siblings in Federated FaaS	Data Science, Analytics, and Data Processing	Conference proceedings	2022	https://doi.org/10.1145/3542929.3563478
DataCloud	ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics	Data Science, Analytics, and Data Processing	Conference proceedings	2023	https://doi.org/10.48550/arxiv.2305.02966
DataCloud	Comparison of Microservice Call Rate Predictions for Replication in the Cloud	Data Science, Analytics, and Data Processing	Conference proceedings	2023	https://doi.org/10.1145/3603166.3632566
DataCloud	Towards Graph-based Cloud Cost Modelling and Optimisation	Data Science, Analytics, and Data Processing	Conference proceedings	2023	https://doi.org/10.1109/compsac57700.2023.00203
DataCloud	VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing Instances	Data Science, Analytics, and Data Processing	Conference proceedings	2023	https://doi.org/10.1145/3593908.3593943
DataCloud	A Human-in-the-Loop Approach to Support the Segments Compliance Analysis	Data Science, Analytics, and Data Processing	Conference proceedings	2022	https://doi.org/10.1007/978-3-031-16168-1 13
DataCloud	ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER	Data Science, Analytics, and Data Processing	Conference proceedings	2023	https://doi.org/10.1109/compsac57700.2023.00038
DataCloud	Aligning Data-Aware Declarative Process Models and Event Logs	Data Science, Analytics, and Data Processing	Conference proceedings	2021	https://doi.org/10.1007/978-3-030-85469-0 16
DataCloud	MPEC2: Multilayer and Pipeline Video Encoding on the Computing Continuum	Data Science, Analytics, and Data Processing	Conference proceedings	2022	https://doi.org/10.1109/nca57778.2022.10013519
DataCloud	Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming	Data Science, Analytics, and Data Processing	Conference proceedings	2023	https://doi.org/10.1007/978-3-031-43458-7 38
DataCloud	Machine Learning Based Resource Utilization Prediction in the Computing Continuum	Data Science, Analytics, and Data Processing	Conference proceedings	2023	https://doi.org/10.5281/zenodo.10203854
DataCloud	ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics	Data Science, Analytics, and Data Processing	Conference proceedings	2022	https://doi.org/10.1145/3511808.3557195
DataCloud	Addressing the Scalability Bottleneck of Semantic Technologies at Bosch	Data Science, Analytics, and Data Processing	Conference proceedings	2023	https://doi.org/10.1007/978-3-031-43458-7 33
DataCloud	An SQL-Based Declarative Process Mining Framework for Analyzing Process Data Stored in Relational Databases	Data Science, Analytics, and Data Processing	Conference proceedings	2023	https://doi.org/10.1007/978-3-031-41623-1 13
DataCloud	CNN-assisted Road Sign Inspection on the Computing Continuum	Data Science, Analytics, and Data Processing	Conference proceedings	2022	https://doi.org/10.1109/ucc56403.2022.00038
DataCloud	Proactive SLA-aware Application Placement in the Computing Continuum	Data Science, Analytics, and Data Processing	Conference proceedings	2023	https://doi.org/10.1109/ipdps54959.2023.00054
DataCloud	Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case	Data Science, Analytics, and Data Processing	Conference proceedings	2023	https://doi.org/10.48550/arxiv.2308.01094
DataCloud	SmartRPA: A Tool to Reactively Synthesize Software Robots from User Interface Logs.	Data Science, Analytics, and Data Processing	Conference proceedings	2021	https://doi.org/10.1007/978-3-030-79108-7 16
DataCloud	Preemptive online scheduling in the Computing Continuum	Data Science, Analytics, and Data Processing	Conference proceedings	2022	https://doi.org/10.1109/ucc56403.2022.00057
DataCloud	Discovering Declarative Process Model Behavior from Event Logs via Model Learning	Data Science, Analytics, and Data Processing	Conference proceedings	2021	https://doi.org/10.1109/icpm53251.2021.9576870