Deliverables
Final demonstrator together with the final report including the evaluation of the whole technology developed during the project in the Hot Strip Mill process in the ArcelorMittal steelmaking factory.
Hybrid computation tested systemTested system implementation of hybrid computation for Apache Flink
Second prototype (V2)Second version of the above, for the second prototype
Optimizer PrototypePrototype of a domain specific optimizer for the declarative language and Apache Flink
Scalable online machine learning algorithms for streamingThis deliverable will introduce Version 1 of SOLMA that encompasses new scalable online machine learning algorithms.
Optimizer finished implementationFinished implementation of a domain specific optimizer for the declarative language and Apache Flink.
Updateable-state management prototype implementationImplemented system for updateable state for Apache Flink
Third prototype (V3)Third version of the above, for the third prototype
Software implementation and integration with Apache FlinkThis deliverable includes the implementation of the 3 layers of the proposed technical solution. Data Collector, and Incremental Analytics Engine layers will be implemented within the core of Apache Flink technology. The Visualization layer will be implemented as client-side library
Basic scalable streaming algorithmsThis deliverable is in the form of software (joint with publications) will present Version 0 of the library covering a set of basic scalable streaming algorithms produced in Task 4.2.
Scalable drift and anomaly detectionThis deliverable will result in Version 2 of SOLMA covering new scalable drift and anomaly detection algorithms.
Hybrid computation prototype implementationPrototypical implementation of hybrid computation for Apache Flink covering basic workflows
First prototype (V1)The first version of the evolving prototype in the validation scenario. An associated evolving document will provide, for each prototype execution, the objectives definition, KPIs involved and their evaluation after the prototype execution phase.
Declarative language tested implementationTested implementation of a declarative language for (online) machine learning
Declarative language finished implementationFinished implementation of a declarative language for (online) machine learning
Scalable Online algorithms in FlinkThis deliverable will release the final implementation in Flink of the streaming algorithms produced earlier through D4.2-D4.4.
Declarative language prototype implementationImplementation of a basic declarative language prototype
Details for scientific dissemination activities and materials along with the time line and success indicators. It includes a record of activities related to scientific dissemination that have been undertaken during the first half of the project, and those planned for the second period.
Scenario details and objectives descriptionThis document details the Hot Strip Mill process in terms of sensor data characteristics and data workflow. It also describes the scenario objectives from the end-user perspective.
Report on community engagement and technology transfer activities – V2The final version of the deliverable compiles a record of all the activities related to community engagement and technology transfer developed in the course of the project
Scenario development and KPI definition for the PROTEUS solutionA report that presents the review of benchmarks, the typical scenarios used to define the parameters of the PROTEUS solution and requirements, benchmarks and KPIs
PROTEUS evaluation and impact assessmentA report which details the gains associated with the PROTEUS solution, using quantitative information, and which identifies areas for further improvement and investment
Guidelines for interacting and visualization information in Big Data environmentsThis document presents the results of the research in new ways of presenting and working with large amount of data and stream data
Visualization requirements for massive online machine learning strategiesThis deliverable defines functional and non-functional requirements for the visualization system regarding online machine learning strategies
Report on project communication and engagement activities – V2The final report of communication and engagement activities, compiling a list of all activities developed for communication with other relevant initiatives in the course of the project.
Report on scientific dissemination activities – V2 [Final report of scientific dissemination activities. The final version compiles a record of all activities related to scientific dissemination developed in the course of the project.
Catalogue of scientific and technical requirementsThis document describes the catalogue of scientific and technical challenges/requirements derived from the industrial scenario needs.
Report on community engagement and technology transfer activities – V1Details for the community engagement and technology transfer strategy for the project. The intermediate report includes a record of activities related to community creation and engagement, and technology transfer developed in the course of the first half of the project, and those planned for the second half
Declarative language syntax definitionSyntax definition for a declarative language based on machine learning requirements
Architecture design for supporting incremental visual methodsThis deliverable defines the technical design of the 3-layer based architecture for implementing the visualization system
Report on project communication and engagement activities – V1Details for communication and engagement activities and materials along with the time line and success indicators. It includes a record of communication activities that have been undertaken during the first half of the project, and those planned for the second period.
Investigative overview of targeted techniques and algorithmsThe state of the art of scalable streaming algorithms for distributed environments, non-scalable streaming algorithms, and selected prominent non-streaming and non-scalable algorithms that can be approximated by an online version.
The PROTEUS factsheet will be an early dissemination leaflet for dissmeination and communication purposes, including the most relevant information of the project in a nutshell, and will be available from the very begining as an initial public brochure.
PROTEUS project websitePROTEUS project public website, to be active and regularly updated during the whole project.
Publications
Author(s):
Bonaventura Del Monte
Published in:
Proceedings of the VLDB 2017 PhD Workshop, Issue 28 August 2017, 2017
Publisher:
N/A
Author(s):
Krzysztof Trawinski, Manuel Chica, David P. Pancho, Sergio Damas, and Oscar Cordón
Published in:
Proceeding of the MIC and MAEB 2017 Conferences, Issue June 2017, 2017, Page(s) 963-972, ISBN 978-84-697-4275-1
Publisher:
Universitat Pompeu Fabra
Author(s):
Jonas Traub, Philipp Marian Grulich, Alejandro Rodriguez Cuellar, Sebastian Bress, Asterios Katsifodimos, Tilmann Rabl, Volker Markl
Published in:
2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018, Page(s) 1300-1303, ISBN 978-1-5386-5520-7
Publisher:
IEEE
DOI:
10.1109/ICDE.2018.00135
Author(s):
W. Jamil, N-C. Duong, W. Wang, C. Mansouri, S. Mohamad, A. Bouchachia
Published in:
Proceedings of the 12th European Conference on Software Architecture Companion Proceedings - ECSA '18, 2018, Page(s) 1-4, ISBN 9781-450364836
Publisher:
ACM Press
DOI:
10.1145/3241403.3241438
Author(s):
Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl
Published in:
2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018, Page(s) 1507-1518, ISBN 978-1-5386-5520-7
Publisher:
IEEE
DOI:
10.1109/ICDE.2018.00169
Author(s):
Bouchachia, Abdelhamid; Kalnishkan, Y; Jamil, W.
Published in:
ECML/PKDD 2016 Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV-2016), Issue 1, 2016, Page(s) 69-82
Publisher:
N/A
Author(s):
Andreas Kunft, Alexander Alexandrov, Asterios Katsifodimos, Volker Markl
Published in:
BeyondMR '16 Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, Issue BeyondMR '16 26-06-2016, 2016, ISBN 978-1-4503-4311-4
Publisher:
ACM
DOI:
10.1145/2926534.2926540
Author(s):
Alexander Alexandrov , Andreas Salzmann , Georgi Krastev , Asterios Katsifodimos , Volker Markl
Published in:
ACM SIGMOD '16 Proceedings of the 2016 SIGMOD International Conference on Management of Data, Issue Sigmod16, 26-06-2016, 2016, Page(s) 2073-2076, ISBN 978-1-4503-3531-7
Publisher:
ACM
DOI:
10.1145/2882903.2899396
Author(s):
Alexander Alexandrov, Asterios Katsifodimos, Georgi Krastev, Volker Markl
Published in:
ACM SIGMOD Record, Issue Volume 45, Number 1, March 2016, 2016, Page(s) 51-58, ISSN 0163-5808
Publisher:
ACM
DOI:
10.1145/2949741.2949754
Author(s):
Ignacio Garcia, Ruben Casado, Abdelhamid Bouchachia
Published in:
2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), 2016, Page(s) 177-182, ISBN 978-1-5090-3946-3
Publisher:
IEEE
DOI:
10.1109/W-FiCloud.2016.46
Author(s):
Saad Mohamad, Abdelhamid Bouchachia, Moamar Sayed-Mouchaweh
Published in:
2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), Issue STREAMEVOLV-2016, 23 September 2016, 2015, Page(s) 1-7, ISBN 978-1-4673-6698-4
Publisher:
IEEE
DOI:
10.1109/EAIS.2015.7368803
Author(s):
Saad Mohamad, Moamar Sayed-Mouchaweh and Abdelhamid Bouchachia
Published in:
ECML/PKDD 2016 Workshop on Large-scale Learning from Data Streams in Evolving Environments, Issue STREAMEVOLV-2016, 23 September 2016, 2016, Page(s) 51-68
Publisher:
-
Author(s):
Roberto Díaz-Morales, Ángel Navia-Vázquez
Published in:
Knowledge-Based Systems, Issue 136, 2017, Page(s) 183-186, ISSN 0950-7051
Publisher:
Elsevier BV
DOI:
10.1016/j.knosys.2017.09.007
Author(s):
Daniela Pohl, Abdelhamid Bouchachia, Hermann Hellwagner
Published in:
Expert Systems with Applications, Issue 93, 2018, Page(s) 232-244, ISSN 0957-4174
Publisher:
Pergamon Press Ltd.
DOI:
10.1016/j.eswa.2017.10.026
Author(s):
Saad Mohamad, Moamar Sayed-Mouchaweh, Abdelhamid Bouchachia
Published in:
Neural Networks, Issue 98, 2018, Page(s) 1-15, ISSN 0893-6080
Publisher:
Pergamon Press Ltd.
DOI:
10.1016/j.neunet.2017.10.004
Author(s):
José de Jesús Rubio, Abdelhamid Bouchachia
Published in:
Soft Computing, Issue 21/9, 2017, Page(s) 2357-2366, ISSN 1432-7643
Publisher:
Springer Verlag
DOI:
10.1007/s00500-015-1946-4
Author(s):
Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl
Published in:
Proceedings of the VLDB Endowment, Issue 10/13, 2017, Page(s) 2061-2072, ISSN 2150-8097
Publisher:
ACM
DOI:
10.14778/3151106.3151110
Author(s):
Díaz Morales, R. , & Navia Vázquez, Á
Published in:
Pattern Recognition Letters, Issue Volume 84, 1 December 2016, 2016, Page(s) 91-98, ISSN 0167-8655
Publisher:
Elsevier BV
DOI:
10.1016/j.patrec.2016.08.015
Author(s):
Mohamad, S., Bouchachia, A. and Sayed-Mouchaweh, M.
Published in:
IEEE Transactions on Neural Networks and Learning Systems, Issue N/A (early access), 2016, Page(s) 1-13, ISSN 2162-2388
Publisher:
IEEE
DOI:
10.1109/TNNLS.2016.2614393
Author(s):
Waqas Jamil, Abdelhamid Bouchachia
Published in:
Advances in Computational Intelligence Systems - Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK, Issue 840, 2019, Page(s) 83-95, ISBN 978-3-319-97981-6
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-319-97982-3_7
Author(s):
Abdelhamid Bouchachia
Published in:
Handbook on Computational Intelligence, Issue May 2016, 2016, Page(s) 185-207, ISBN 978-981-4675-00-0
Publisher:
WORLD SCIENTIFIC
DOI:
10.1142/9789814675017_0005
Author(s):
Ahmad Lotfi, Hamid Bouchachia, Alexander Gegov, Caroline Langensiepen, Martin McGinnity
Published in:
Advances in Intelligent Systems and Computing, 2019, ISBN 978-3-319-97982-3
Publisher:
Springer
DOI:
10.1007/978-3-319-97982-3
Author(s):
M.S. Mouchaweh, A. Bifet, A. Bouchachia, J. Gama, R. Ribeiro
Published in:
2017
Publisher:
CEUR-WS.org
Author(s):
Paris Carbone, Stephan Ewen, Seif Haridi, Asterios Katsifodimos, Volker Markl, Kostas Tzoumas
Published in:
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, Issue December 2015 Vol. 38 No. 4, Issue on Next-Generation Stream Processing Systems, 2015, Page(s) 28-38
Publisher:
IEEE
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