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Industrial-Driven Big Data as a Self-Service Solution

Deliverables

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].

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].

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].

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].

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].

Universal Messaging Bus (Interim 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].

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]

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Publications

High performance encrypted network traffic inspection using hardware accelerators

Author(s): Eva Papadogiannaki; Giorgos Vasiliadis; Sotiris Ioannidis
Published in: The 14th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2018), Issue 5, 2018
DOI: 10.5281/zenodo.2635460

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

Author(s): Kostas Drakonakis, Panagiotis Ilia, Sotiris Ioannidis, Jason Polakis
Published in: Proceedings 2019 Network and Distributed System Security Symposium, Issue Network and Distributed Systems Security (NDSS) Symposium 2019, 2019
DOI: 10.14722/ndss.2019.23151

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

Author(s): Giannis Giakoumakis; Eva Papadogiannaki; Giorgos Vasiliadis; Sotiris Ioannidis
Published in: The 14th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2018), Issue 8, 2018
DOI: 10.5281/zenodo.2635468

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

Author(s): 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
Published in: 2019 IEEE World Congress on Services, Issue 7, 2019
DOI: 10.5281/zenodo.3333486

There goes Wally: Anonymously sharing your location gives you away

Author(s): Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis, Joan Serra, Claudio Soriente
Published in: 2018 IEEE International Conference on Big Data (Big Data), 2018, Page(s) 1218-1227
DOI: 10.1109/bigdata.2018.8622184

Spectral-like gradient method for distributed optimization

Author(s): Jakovetic, Dusan; Krejic, Natasa; Krklec Jerinkic, Natasa
Published in: IEEE EUROCON 2019, Issue 3, 2019
DOI: 10.5281/zenodo.3333533

Distributed Trust-Region Method With First Order Models

Author(s): Armacki, Aleksandar; Jakovetic, Dusan; Krejic, Natasa; Krklec Jerinkic, Natasa
Published in: EUROCON 2019, Issue 1, 2019
DOI: 10.5281/zenodo.3333539

A Simple Convolutional Generative Network for Next Item Recommendation

Author(s): Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He
Published in: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining - WSDM '19, 2019, Page(s) 582-590
DOI: 10.1145/3289600.3290975

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

Author(s): Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Published in: 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018, Page(s) 628-632
DOI: 10.1109/globalsip.2018.8646406

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

Author(s): Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar
Published in: 2018 IEEE Conference on Decision and Control (CDC), 2018, Page(s) 4951-4958
DOI: 10.1109/cdc.2018.8619044

Convergence Rates for Distributed Stochastic Optimization Over Random Networks

Author(s): Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar
Published in: 2018 IEEE Conference on Decision and Control (CDC), 2018, Page(s) 4238-4245
DOI: 10.1109/cdc.2018.8619228

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

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

Towards a Methodology for Evaluating Big Data Platforms

Author(s): Evangelia Kavakli, Rizos Sakellariou, Vlado Stankovski
Published in: 2019 IEEE World Congress on Services (SERVICES), 2019, Page(s) 380-381
DOI: 10.1109/services.2019.00113

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

Author(s): Cesare Cugnasco, Yolanda Becerra, Jordi Torres
Published in: 2019

Communication efficient distributed weighted non-linear least squares estimation

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

Distributed second order methods with increasing number of working nodes

Author(s): Natasa Krklec Jerinkic, Dusan Jakovetic, Natasa Krejic, Dragana Bajovic
Published in: IEEE Transactions on Automatic Control, 2019, Page(s) 1-1, ISSN 0018-9286
DOI: 10.1109/tac.2019.2922191

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

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