Industrial-Driven Big Data as a Self-Service Solution

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Big-Data-as-a-Self-Service Test and Integration Report v2

This deliverable is a 2nd version of the Big-Data-as-a-Self-Service Test and Integration report [T5.2, T5.3, T5.4].

Universal Messaging Bus (Final Version)

This report will document the I-BiDaaS integrated end-to-end solution for collecting, aggregating, pre-processing and transforming real-time streaming raw data (structured, unstructured, noisy and possibly incomplete) into structured messages of a common, unified, format [T2.2].

Experiments implementation - initial version

This is a initial report on the I-BiDaaS experiments implementation [T6.1, T6.2, T6.3].

The Data Fabrication Platform (DFP, Interim version)

This deliverable will describe the I-BIDaaS automated methodology for fabrication of synthetic and realistic data sets [T2.3].

The Data Fabrication Platform (DFP, Final Version)

This deliverable will describe the I-BIDaaS automated methodology for fabrication of synthetic and realistic data sets [T2.3].

Federated Resource Management for Data Analytics v2

This deliverable is the 2nd version of the report on the I-BiDaaS Federated Resource Management for Data Analytics [T5.1, T5.2].

Batch Processing Analytics module implementation final report

This is the final report in the I-BiDaaS Batch Processing Analytics module implementation [T3.1, T3.2, T3.3, T3.4].

Streaming analytics and predictions

This deliverable will report on the streaming analytics and predictions for I-BiDaaS [T4.1, 4.2, T4.3].

I-BiDaaS visualization and monitoring framework, and a multi-purpose interface

This deliverable will contain the implementation of the interactive visualization and monitoring toolkit for I-BiDaaS [T2.4].

Assessment report and impact analysis

This deliverable will contain an assessment report and impact analysis for I-BiDaaS [T6.4].

Batch Processing Analytics module implementation as part of I-BiDaaS solution

This deliverable will report in the Batch Processing Analytics module implementation as part of I-BiDaaS solution [T3.1, T3.2, T3.3, T3.4].

Federated Resource Management for Data Analytics v3

This deliverable is the final version of the report on the I-BiDaaS Federated Resource Management for Data Analytics [T5.1, T5.2].

Third report on Dissemination strategy and activities

This deliverable is the third year report on the I-BiDaaS Dissemination strategy and activities [T7.2].

Experiments implementation

This deliverable will report on the implementation of the I-BiDaaS experiments [T6.1, T6.2, T6.3].

Positioning of I-BiDaaS

This deliverable will report on the detailed functionality of the I-BiDaaS platform, according to the user’s needs, the state-of-the-art in distributed data and process mining, predictive analytics and real-time complex event processing over extremely large numbers of high volume streams that are produced in project’s industrial domains [T1.1, T1.2, T1.3, T1.4].

Second report on Dissemination strategy and activities

This deliverable is the second year report on the I-BiDaaS Dissemination strategy and activities [T7.2].

First report on Dissemination strategy and activities

This deliverable is the fist year report on the I-BiDaaS Dissemination strategy and activities [T7.2].

Federated Resource Management for Data Analytics v1

This deliverable is the 1st version of the report on the I-BiDaaS Federated Resource Management for Data Analytics [T5.1, T5.2].

Big-Data-as-a-Self-Service Test and Integration Report

This deliverable is a 1st version of the Big-Data-as-a-Self-Service Test and Integration report [T5.2, T5.3, T5.4].

Distributed event-processing engine

This deliverable will report on the I-BiDaaS Distributed event-processing engine [T4.1, 4.2].

Big-Data-as-a-Self-Service Test and Integration Report v3

This deliverable is the final version of the Big-Data-as-a-Self-Service Test and Integration report [T5.2, T5.3, T5.4].

Universal Messaging Bus (Interim Version)

Batch Processing Analytics module implementation

This deliverable will report on the I-BiDaaS Batch Processing Analytics module implementation [T3.1, T3.2, T3.3, T3.4].

Project website

This deliverable the I-BiDaaS Website [T7.2]

Publications

Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned through the Centro Ricerche FIAT (CRF) Case

Auteurs: Andreas Alexopoulos; Yolanda Becerra; Omer Boehm; George Bravos; Vassilis Chatzigiannakis; Cesare Cugnasco; Giorgos Demetriou; Iliada Eleftheriou; Spiros Fotis; Gianmarco Genchi; Sotiris Ioannidis; Dusan Jakovetic; Leonidas Kallipolitis; Vlatka Katusic; Evangelia Kavakli; Despina Kopanaki; Christoforos Leventis; Miquel Martínez; Julien Mascolo; Nemanja Milosevic; Enric Pages; Gerald Ristow; Herna
Publié dans: Technologies and Applications for Big Data Value, Numéro 16, 2021
Éditeur: Springer Nature Switzerland AG
DOI: 10.5281/zenodo.4540169

Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case

Auteurs: Andreas Alexopoulos; Yolanda Becerra; Omer Boehm; George Bravos; Vasilis Chatzigiannakis; Cesare Cugnasco; Giorgos Demetriou; Iliada Eleftheriou; Lidija Fodor; Spiros Fotis; Sotiris Ioannidis; Dusan Jakovetic; Leonidas Kallipolitis; Vlatka Katusic; Evangelia Kavakli; Despina Kopanaki; Christoforos Leventis; Mario Maawad Marcos; Ramon Martin de Pozuelo; Miquel Martínez; Nemanja Milosevic; Enric Pa
Publié dans: Technologies and Applications for Big Data Value, Numéro 5, 2021
Éditeur: Springer Nature Switzerland AG
DOI: 10.5281/zenodo.4540175

Challenges in Resource Provisioning for the Execution of Data Wrangling Workflows on the Cloud: A Case Study

Auteurs: Abdullah Khalid A. Almasaud, Agresh Bharadwaj, Sandra Sampaio, Rizos Sakellariou
Publié dans: Database and Expert Systems Applications - 31st International Conference, DEXA 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings, Part II, Numéro 12392, 2020, Page(s) 66-75, ISBN 978-3-030-59050-5
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-59051-2_5

Parallel Differentially Private K-Means Implementation Using COMPSs Framework

Auteurs: Sukpisit, Sukgamon; Skrbic, Srdjan; Jakovetic, Dusan
Publié dans: 10th International Conference on Information Society and Technology (ICIST 2020), Numéro 13, 2020, Page(s) 222-225
Éditeur: Springer
DOI: 10.5281/zenodo.4314276

Pythia: Scheduling of Concurrent Network Packet Processing Applications on Heterogeneous Devices

Auteurs: Giannis Giakoumakis, Eva Papadogiannaki, Giorgos Vasiliadis, Sotiris Ioannidis
Publié dans: 2020 6th IEEE Conference on Network Softwarization (NetSoft), 2020, Page(s) 145-149, ISBN 978-1-7281-5684-2
Éditeur: IEEE
DOI: 10.1109/NetSoft48620.2020.9165447

Towards a Multi-Perspective Methodology for Big Data Requirements

Auteurs: Evangelia Kavakli; Rizos Sakellariou,; Iliada Eleftheriou; Julien Etienne Mascolo
Publié dans: 2020 IEEE International Conference on Big Data (IEEE BigData 2020), Numéro 13, 2020
Éditeur: IEEE
DOI: 10.5281/zenodo.4317758

High performance encrypted network traffic inspection using hardware accelerators

Auteurs: Eva Papadogiannaki; Giorgos Vasiliadis; Sotiris Ioannidis
Publié dans: The 14th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2018), Numéro 5, 2018
Éditeur: ACM
DOI: 10.5281/zenodo.2635460

Please Forget Where I Was Last Summer: The Privacy Risks of Public Location (Meta)Data

Auteurs: Kostas Drakonakis, Panagiotis Ilia, Sotiris Ioannidis, Jason Polakis
Publié dans: Proceedings 2019 Network and Distributed System Security Symposium, Numéro Network and Distributed Systems Security (NDSS) Symposium 2019, 2019, ISBN 1-891562-55-X
Éditeur: Internet Society
DOI: 10.14722/ndss.2019.23151

Efficient Scheduling for Concurrently Executed Network Packet Processing Applications on Heterogeneous Hardware Architectures

Auteurs: Giannis Giakoumakis; Eva Papadogiannaki; Giorgos Vasiliadis; Sotiris Ioannidis
Publié dans: The 14th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2018), Numéro 8, 2018
Éditeur: ACM
DOI: 10.5281/zenodo.2635468

Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications

Auteurs: Arapakis, Ioannis; Becerra, Yolanda; Boehm, Omer; Bravos, George; Chatzigiannakis, Vassilis; Cugnasco, Cesare; Demetriou, Giorgos; Eleftheriou, Iliada; Mascolo, Julien; Fodor, Lidija; Ioannidis, Sotiris; Jakovetic, Dusan; Kallipolitis, Leonidas; Kavakli, Evangelia; Kopanaki, Despina; Kourtellis, Nicolas; Marcos, Mario Maawad; Martin de Pozuelo, Ramon; Milosevic, Nemanja; Morandi, Giuditta; Pages M
Publié dans: 2019 IEEE World Congress on Services, Numéro 7, 2019
Éditeur: IEEE
DOI: 10.5281/zenodo.3333486

There goes Wally: Anonymously sharing your location gives you away

Auteurs: Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis, Joan Serra, Claudio Soriente
Publié dans: 2018 IEEE International Conference on Big Data (Big Data), 2018, Page(s) 1218-1227, ISBN 978-1-5386-5035-6
Éditeur: IEEE
DOI: 10.1109/bigdata.2018.8622184

Spectral-like gradient method for distributed optimization

Auteurs: Jakovetic, Dusan; Krejic, Natasa; Krklec Jerinkic, Natasa
Publié dans: IEEE EUROCON 2019, Numéro 3, 2019
Éditeur: IEEE
DOI: 10.5281/zenodo.3333533

Distributed Trust-Region Method With First Order Models

Auteurs: Armacki, Aleksandar; Jakovetic, Dusan; Krejic, Natasa; Krklec Jerinkic, Natasa
Publié dans: EUROCON 2019, Numéro 1, 2019
Éditeur: IEEE
DOI: 10.5281/zenodo.3333539

A Simple Convolutional Generative Network for Next Item Recommendation

Auteurs: Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He
Publié dans: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining - WSDM '19, 2019, Page(s) 582-590, ISBN 9781-450359405
Éditeur: ACM Press
DOI: 10.1145/3289600.3290975

NON-ASYMPTOTIC RATES FOR COMMUNICATION EFFICIENT DISTRIBUTED ZEROTH ORDER STRONGLY CONVEX OPTIMIZATION

Auteurs: Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Publié dans: 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018, Page(s) 628-632, ISBN 978-1-7281-1295-4
Éditeur: IEEE
DOI: 10.1109/globalsip.2018.8646406

Distributed Zeroth Order Optimization Over Random Networks: A Kiefer-Wolfowitz Stochastic Approximation Approach

Auteurs: Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Publié dans: 2018 IEEE Conference on Decision and Control (CDC), 2018, Page(s) 4951-4958, ISBN 978-1-5386-1395-5
Éditeur: IEEE
DOI: 10.1109/cdc.2018.8619044

Convergence Rates for Distributed Stochastic Optimization Over Random Networks

Auteurs: Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar
Publié dans: 2018 IEEE Conference on Decision and Control (CDC), 2018, Page(s) 4238-4245, ISBN 978-1-5386-1395-5
Éditeur: IEEE
DOI: 10.1109/cdc.2018.8619228

An Architecture and Stochastic Method for Database Container Placement in the Edge-Fog-Cloud Continuum

Auteurs: Kochovski Petar; Sakellariou Rizos; Bajec Marko; Drobintsev Pavel; Stankovski Vlado
Publié dans: 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS 2019), Numéro 5, 2019
Éditeur: IEEE
DOI: 10.5281/zenodo.2548463

Towards a Methodology for Evaluating Big Data Platforms

Auteurs: Evangelia Kavakli, Rizos Sakellariou, Vlado Stankovski
Publié dans: 2019 IEEE World Congress on Services (SERVICES), 2019, Page(s) 380-381, ISBN 978-1-7281-3851-0
Éditeur: IEEE
DOI: 10.1109/services.2019.00113

GPU-accelerated encrypted network traffic inspection

Auteurs: Eva Papadogiannaki, Sotiris Ioannidis
Publié dans: ACM Celebration of Women in Computing: womENcourage 2019 (womENcourage 2019), 2019
Éditeur: ACM
DOI: 10.5281/zenodo.3472929

TrustAV - Practical and Privacy Preserving Malware Analysis in the Cloud

Auteurs: Dimitris Deyannis, Eva Papadogiannaki, Giorgos Kalivianakis, Giorgos Vasiliadis, Sotiris Ioannidis
Publié dans: Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy, 2020, Page(s) 39-48, ISBN 9781450371070
Éditeur: ACM
DOI: 10.1145/3374664.3375748

The OTree: Multidimensional Indexing with efficient data Sampling for HPC

Auteurs: Cesare Cugnasco, Hadrien Calmet, Pol Santamaria, Raul Sirvent, Ane Beatriz Eguzkitza, Guillaume Houzeaux, Yolanda Becerra, Jordi Torres, Jesus Labarta
Publié dans: 2019 IEEE International Conference on Big Data (Big Data), 2019, Page(s) 433-440, ISBN 978-1-7281-0858-2
Éditeur: IEEE
DOI: 10.1109/bigdata47090.2019.9006121

Head(er)Hunter: Fast Intrusion Detection using Packet Metadata Signatures

Auteurs: Eva Papadogiannaki, Dimitris Deyannis, Sotiris Ioannidis
Publié dans: 2020 IEEE 25th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2020, Page(s) 1-6, ISBN 978-1-7281-6339-0
Éditeur: IEEE
DOI: 10.1109/camad50429.2020.9209308

A framework for multidimensional indexes on distributed and highly-available data stores

Auteurs: Cesare Cugnasco, Yolanda Becerra, Jordi Torres
Publié dans: 2019
Éditeur: Universitat Politècnica de Catalunya

Communication efficient distributed weighted non-linear least squares estimation

Auteurs: Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Publié dans: EURASIP Journal on Advances in Signal Processing, Numéro 2018/1, 2018, Page(s) 1-15, ISSN 1687-6180
Éditeur: Springer
DOI: 10.1186/s13634-018-0586-0

Distributed second order methods with increasing number of working nodes

Auteurs: Natasa Krklec Jerinkic, Dusan Jakovetic, Natasa Krejic, Dragana Bajovic
Publié dans: IEEE Transactions on Automatic Control, 2019, Page(s) 1-1, ISSN 0018-9286
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2019.2922191

Acceleration of Intrusion Detection in Encrypted Network Traffic Using Heterogeneous Hardware

Auteurs: Eva Papadogiannaki, Sotiris Ioannidis
Publié dans: Sensors, Numéro 21/4, 2021, Page(s) 1140, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21041140

Exact spectral-like gradient method for distributed optimization

Auteurs: Dušan Jakovetić, Nataša Krejić, Nataša Krklec Jerinkić
Publié dans: Computational Optimization and Applications, Numéro 74/3, 2019, Page(s) 703-728, ISSN 0926-6003
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10589-019-00131-8

I-BiDaaS: Industrial-Driven Big Data as a Self-Service Solution

Auteurs: Giorgos Vasiliadis; Dusan Jakovetic; Ilias Spais; Sotiris Ioannidis
Publié dans: 7th European Conference on Service-Oriented and Cloud Computing – EU Project Space track (ESOCC 2018), Numéro 1, 2019
Éditeur: Springer
DOI: 10.5281/zenodo.3355416

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