Industrial-Driven Big Data as a Self-Service Solution

Leistungen

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].

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]

Veröffentlichungen

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

Autoren: 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
Veröffentlicht in: Technologies and Applications for Big Data Value, Ausgabe 16, 2021
Herausgeber: Springer Nature Switzerland AG
DOI: 10.5281/zenodo.4540169

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

Autoren: 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
Veröffentlicht in: Technologies and Applications for Big Data Value, Ausgabe 5, 2021
Herausgeber: 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

Autoren: Abdullah Khalid A. Almasaud, Agresh Bharadwaj, Sandra Sampaio, Rizos Sakellariou
Veröffentlicht in: Database and Expert Systems Applications - 31st International Conference, DEXA 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings, Part II, Ausgabe 12392, 2020, Seite(n) 66-75, ISBN 978-3-030-59050-5
Herausgeber: Springer International Publishing
DOI: 10.1007/978-3-030-59051-2_5

Parallel Differentially Private K-Means Implementation Using COMPSs Framework

Autoren: Sukpisit, Sukgamon; Skrbic, Srdjan; Jakovetic, Dusan
Veröffentlicht in: 10th International Conference on Information Society and Technology (ICIST 2020), Ausgabe 13, 2020, Seite(n) 222-225
Herausgeber: Springer
DOI: 10.5281/zenodo.4314276

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

Autoren: Giannis Giakoumakis, Eva Papadogiannaki, Giorgos Vasiliadis, Sotiris Ioannidis
Veröffentlicht in: 2020 6th IEEE Conference on Network Softwarization (NetSoft), 2020, Seite(n) 145-149, ISBN 978-1-7281-5684-2
Herausgeber: IEEE
DOI: 10.1109/NetSoft48620.2020.9165447

Towards a Multi-Perspective Methodology for Big Data Requirements

Autoren: Evangelia Kavakli; Rizos Sakellariou,; Iliada Eleftheriou; Julien Etienne Mascolo
Veröffentlicht in: 2020 IEEE International Conference on Big Data (IEEE BigData 2020), Ausgabe 13, 2020
Herausgeber: IEEE
DOI: 10.5281/zenodo.4317758

High performance encrypted network traffic inspection using hardware accelerators

Autoren: Eva Papadogiannaki; Giorgos Vasiliadis; Sotiris Ioannidis
Veröffentlicht in: The 14th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2018), Ausgabe 5, 2018
Herausgeber: ACM
DOI: 10.5281/zenodo.2635460

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

Autoren: Kostas Drakonakis, Panagiotis Ilia, Sotiris Ioannidis, Jason Polakis
Veröffentlicht in: Proceedings 2019 Network and Distributed System Security Symposium, Ausgabe Network and Distributed Systems Security (NDSS) Symposium 2019, 2019, ISBN 1-891562-55-X
Herausgeber: Internet Society
DOI: 10.14722/ndss.2019.23151

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

Autoren: Giannis Giakoumakis; Eva Papadogiannaki; Giorgos Vasiliadis; Sotiris Ioannidis
Veröffentlicht in: The 14th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2018), Ausgabe 8, 2018
Herausgeber: ACM
DOI: 10.5281/zenodo.2635468

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

Autoren: 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
Veröffentlicht in: 2019 IEEE World Congress on Services, Ausgabe 7, 2019
Herausgeber: IEEE
DOI: 10.5281/zenodo.3333486

There goes Wally: Anonymously sharing your location gives you away

Autoren: Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis, Joan Serra, Claudio Soriente
Veröffentlicht in: 2018 IEEE International Conference on Big Data (Big Data), 2018, Seite(n) 1218-1227, ISBN 978-1-5386-5035-6
Herausgeber: IEEE
DOI: 10.1109/bigdata.2018.8622184

Spectral-like gradient method for distributed optimization

Autoren: Jakovetic, Dusan; Krejic, Natasa; Krklec Jerinkic, Natasa
Veröffentlicht in: IEEE EUROCON 2019, Ausgabe 3, 2019
Herausgeber: IEEE
DOI: 10.5281/zenodo.3333533

Distributed Trust-Region Method With First Order Models

Autoren: Armacki, Aleksandar; Jakovetic, Dusan; Krejic, Natasa; Krklec Jerinkic, Natasa
Veröffentlicht in: EUROCON 2019, Ausgabe 1, 2019
Herausgeber: IEEE
DOI: 10.5281/zenodo.3333539

A Simple Convolutional Generative Network for Next Item Recommendation

Autoren: Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He
Veröffentlicht in: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining - WSDM '19, 2019, Seite(n) 582-590, ISBN 9781-450359405
Herausgeber: ACM Press
DOI: 10.1145/3289600.3290975

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

Autoren: Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Veröffentlicht in: 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018, Seite(n) 628-632, ISBN 978-1-7281-1295-4
Herausgeber: IEEE
DOI: 10.1109/globalsip.2018.8646406

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

Autoren: Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Veröffentlicht in: 2018 IEEE Conference on Decision and Control (CDC), 2018, Seite(n) 4951-4958, ISBN 978-1-5386-1395-5
Herausgeber: IEEE
DOI: 10.1109/cdc.2018.8619044

Convergence Rates for Distributed Stochastic Optimization Over Random Networks

Autoren: Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar
Veröffentlicht in: 2018 IEEE Conference on Decision and Control (CDC), 2018, Seite(n) 4238-4245, ISBN 978-1-5386-1395-5
Herausgeber: IEEE
DOI: 10.1109/cdc.2018.8619228

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

Autoren: Kochovski Petar; Sakellariou Rizos; Bajec Marko; Drobintsev Pavel; Stankovski Vlado
Veröffentlicht in: 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS 2019), Ausgabe 5, 2019
Herausgeber: IEEE
DOI: 10.5281/zenodo.2548463

Towards a Methodology for Evaluating Big Data Platforms

Autoren: Evangelia Kavakli, Rizos Sakellariou, Vlado Stankovski
Veröffentlicht in: 2019 IEEE World Congress on Services (SERVICES), 2019, Seite(n) 380-381, ISBN 978-1-7281-3851-0
Herausgeber: IEEE
DOI: 10.1109/services.2019.00113

GPU-accelerated encrypted network traffic inspection

Autoren: Eva Papadogiannaki, Sotiris Ioannidis
Veröffentlicht in: ACM Celebration of Women in Computing: womENcourage 2019 (womENcourage 2019), 2019
Herausgeber: ACM
DOI: 10.5281/zenodo.3472929

TrustAV - Practical and Privacy Preserving Malware Analysis in the Cloud

Autoren: Dimitris Deyannis, Eva Papadogiannaki, Giorgos Kalivianakis, Giorgos Vasiliadis, Sotiris Ioannidis
Veröffentlicht in: Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy, 2020, Seite(n) 39-48, ISBN 9781450371070
Herausgeber: ACM
DOI: 10.1145/3374664.3375748

The OTree: Multidimensional Indexing with efficient data Sampling for HPC

Autoren: Cesare Cugnasco, Hadrien Calmet, Pol Santamaria, Raul Sirvent, Ane Beatriz Eguzkitza, Guillaume Houzeaux, Yolanda Becerra, Jordi Torres, Jesus Labarta
Veröffentlicht in: 2019 IEEE International Conference on Big Data (Big Data), 2019, Seite(n) 433-440, ISBN 978-1-7281-0858-2
Herausgeber: IEEE
DOI: 10.1109/bigdata47090.2019.9006121

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

Autoren: Eva Papadogiannaki, Dimitris Deyannis, Sotiris Ioannidis
Veröffentlicht in: 2020 IEEE 25th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2020, Seite(n) 1-6, ISBN 978-1-7281-6339-0
Herausgeber: IEEE
DOI: 10.1109/camad50429.2020.9209308

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

Autoren: Cesare Cugnasco, Yolanda Becerra, Jordi Torres
Veröffentlicht in: 2019
Herausgeber: Universitat Politècnica de Catalunya

Communication efficient distributed weighted non-linear least squares estimation

Autoren: Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Veröffentlicht in: EURASIP Journal on Advances in Signal Processing, Ausgabe 2018/1, 2018, Seite(n) 1-15, ISSN 1687-6180
Herausgeber: Springer
DOI: 10.1186/s13634-018-0586-0

Distributed second order methods with increasing number of working nodes

Autoren: Natasa Krklec Jerinkic, Dusan Jakovetic, Natasa Krejic, Dragana Bajovic
Veröffentlicht in: IEEE Transactions on Automatic Control, 2019, Seite(n) 1-1, ISSN 0018-9286
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tac.2019.2922191

Acceleration of Intrusion Detection in Encrypted Network Traffic Using Heterogeneous Hardware

Autoren: Eva Papadogiannaki, Sotiris Ioannidis
Veröffentlicht in: Sensors, Ausgabe 21/4, 2021, Seite(n) 1140, ISSN 1424-8220
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21041140

Exact spectral-like gradient method for distributed optimization

Autoren: Dušan Jakovetić, Nataša Krejić, Nataša Krklec Jerinkić
Veröffentlicht in: Computational Optimization and Applications, Ausgabe 74/3, 2019, Seite(n) 703-728, ISSN 0926-6003
Herausgeber: Kluwer Academic Publishers
DOI: 10.1007/s10589-019-00131-8

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

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

Suche nach OpenAIRE-Daten ...

Leistungen

Veröffentlichungen

Diese Seite teilen

Herunterladen