European Cloud In-Memory Database Appliance with Predictable Performance for Critical Applications

Informations projet

CloudDBAppliance

N° de convention de subvention: 732051

DOI

10.3030/732051

Projet clôturé

Date de signature de la CE 27 Octobre 2016

Date de début 1 Decembre 2016

Date de fin 30 Novembre 2019

Financé au titre de

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Coût total

€ 4 832 132,50

Contribution de l’UE

€ 4 832 132,00

Coordonné par

BULL SAS
France

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

Documents, reports (17)

Evaluation Plan

Plan for the evaluation of the CloudDBAppliance platform describing which performance metrics will be evaluated, the benchmarks that will be used, and the methodology to perform the evaluation.

Public Final Report

A publishable final activity report, covering main aspects of the work, objectives, results and conclusions, including the publishable results of the final plan for using the knowledge and sustaining the project’s results.

Micro-Benchmarking and Evaluation of Initial Version of Subsystems

A set of micro-benchmarks will be performed to evaluate the initial version of each of the algorithms/mechanisms and compared what is the impact in the performance of the system compared to the non-replicated/non fault-tolerant version.

Evaluation Results version 2

This deliverable reports the results of the performance and scalability evaluation performed on the second version of the CloudDBAppliance platform according the evaluation plan described in D6.2.

Micro-Benchmarking and Evaluation of Final Version of Subsystems

A set of micro-benchmarks will be performed to evaluate the final version of each of the algorithms/mechanisms and compared what is the impact in the performance of the system compared to the non-replicated/non fault-tolerant version.

Use Cases Design

Report documenting the design of the use cases. This deliverable shall also provide a detailed description of the data that will be used for the use-cases, and their management lifecycle design.

Micro-Benchmarking and Evaluation of Final Version of DARA Subsystems

A set of micro-benchmarks will be performed to evaluate the performance/improvements brought by the final version of each of the algorithms/mechanisms.

Micro-Benchmarking and Evaluation of Initial Version of DARA Subsystems

A set of micro-benchmarks will be performed to evaluate the performance/improvements brought by the initial version of each of the algorithms/mechanisms.

Validation Results version 1

This deliverable reports the results of the validation performed over the first version of the CloudDBAppliance platform by means of the use cases.

Micro-Benchmarking and Evaluation of Initial Version of Analytics Framework Subsystems

set of micro-benchmarks will be performed to evaluate the initial version of each of the subsystems and compared to its performance with the starting point to quantify the improvement made in the project in terms of efficiency, throughput and response time.

Validation Results version 2

This deliverable reports the results of the validation performed over the first version of the CloudDBAppliance platform by means of the use cases. This deliverable shall also provide report and assessments on the validation of data management lifecycle for each use-case.

Use Cases Requirements Analysis

Report documenting the requirements collected for the different use cases.

Micro-Benchmarking and Evaluation of Initial Version of Database Subsystems

A set of micro-benchmarks will be performed to evaluate the initial version of each of the subsystems and compared to its performance with the starting point to quantify the improvement made in the project in terms of efficiency, throughput and response time.

Micro-Benchmarking and Evaluation of Final Version of Analytics Framework Subsystems

A set of micro-benchmarks will be performed to evaluate the final version of each of the subsystems and compared to its performance with the starting point to quantify the improvement made in the project in terms of efficiency, throughput and response time.

Evaluation Results version 1

This deliverable reports the results of the performance and scalability evaluation performed on the first version of the CloudDBAppliance platform according to the evaluation plan described in D6.2.

Micro-Benchmarking and Evaluation of Final Version of Database Subsystems

A set of micro-benchmarks will be performed to evaluate the final version of each of the subsystems and compared to its performance with the starting point to quantify the improvement made in the project in terms of efficiency, throughput and response time.

Project factsheet

A two-pager factsheet about the project vision, consortium and funding will be produced.

Other (1)

Project Portal

A public website will be set up and regularly updated, through which the project will be promoted and also as a collaborative tool for the project consortium.

Publications

Conference proceedings (38)

RadiusSketch: Massively Distributed Indexing of Time Series

Auteurs: Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Dennis Shasha
Publié dans: 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2017, Page(s) 262-271, ISBN 978-1-5090-5004-8
Éditeur: IEEE
DOI: 10.1109/DSAA.2017.49

Massive Data Load on Distributed Database Systems over HBase

Auteurs: Ainhoa Azqueta-Alzuaz, Marta Patino-Martinez, Ivan Brondino, Ricardo Jimenez-Peris
Publié dans: 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2017, Page(s) 776-779, ISBN 978-1-5090-6611-7
Éditeur: IEEE
DOI: 10.1109/CCGRID.2017.124

Similarity Aware Shuffling for the Distributed Execution of SQL Window Functions

Auteurs: Fábio Coelho, Miguel Matos, José Pereira, Rui Oliveira
Publié dans: Distributed Applications and Interoperable Systems. DAIS 2017, 2017, Page(s) 3-18, ISBN 978-3-319-59665-5
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-59665-5_1

Load balancing for Key Value Data Stores

Auteurs: Ainhoa Azqueta-Alzúaz, Marta Patiño-Martínez, Ivan Brondino, Ricardo Jimenez-Peris
Publié dans: 20th Inter- national Conference on Extending Database Technology (EDBT), 2017, Page(s) 506-509, ISBN 978-3-89318-073-8
Éditeur: Open Proceedings
DOI: 10.5441/002/edbt.2017.56

The data cube as a typed linear algebra operator

Auteurs: J. N. Oliveira, H. D. Macedo
Publié dans: Proceedings of The 16th International Symposium on Database Programming Languages - DBPL '17, 2017, Page(s) 1-11, ISBN 9781-450353540
Éditeur: ACM Press
DOI: 10.1145/3122831.3122834

DDFLASKS: Deduplicated Very Large Scale Data Store

Auteurs: Francisco Maia, João Paulo, Fábio Coelho, Francisco Neves, José Pereira, Rui Oliveira
Publié dans: Distributed Applications and Interoperable Systems. DAIS 2017, 2017, Page(s) 51-66, ISBN 978-3-319-59665-5
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-59665-5_4

Benchmarking polystores: The CloudMdsQL experience

Auteurs: Boyan Kolev, Raquel Pau, Oleksandra Levchenko, Patrick Valduriez, Ricardo Jimenez-Peris, Jose Pereira
Publié dans: 2016 IEEE International Conference on Big Data (Big Data), 2016, Page(s) 2574-2579, ISBN 978-1-4673-9005-7
Éditeur: IEEE
DOI: 10.1109/BigData.2016.7840899

DPiSAX: Massively Distributed Partitioned iSAX

Auteurs: Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas
Publié dans: 2017 IEEE International Conference on Data Mining (ICDM), 2017, Page(s) 1135-1140, ISBN 978-1-5386-3835-4
Éditeur: IEEE
DOI: 10.1109/ICDM.2017.151

Maximally informative k-itemset mining from massively distributed data streams

Auteurs: Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia
Publié dans: Proceedings of the 33rd Annual ACM Symposium on Applied Computing - SAC '18, 2018, Page(s) 502-509, ISBN 9781-450351911
Éditeur: ACM Press
DOI: 10.1145/3167132.3167187

Distributed Algorithms to Find Similar Time Series

Auteurs: Levchenko, Oleksandra; Kolev, Boyan; Yagoubi, Djamel-Edine; Shasha, Dennis; Palpanas, Themis; Valduriez, Patrick; Akbarinia, Reza; Masseglia, Florent
Publié dans: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019
Éditeur: Springer

Implementing Value-at-Risk and Expected Shortfall for Real Time Risk Monitoring

Auteurs: Petra Ristau
Publié dans: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 459-464, ISBN 978-989-758-377-3
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0008318704590464

Recovery in CloudDBAppliance’s High-availability Middleware

Auteurs: Hugo Abreu, Luis Ferreira, Fábio Coelho, Ana Alonso, José Pereira
Publié dans: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 447-453, ISBN 978-989-758-377-3
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0008318304470453

Fast and Streaming Analytics in ATM Cash Management

Auteurs: Terpsichori-Helen Velivassaki, Panagiotis Athanasoulis
Publié dans: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 454-458, ISBN 978-989-758-377-3
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0008318504540458

Pipelined Implementation of a Parallel Streaming Method for Time Series Correlation Discovery on Sliding Windows

Auteurs: Boyan Kolev, Reza Akbarinia, Ricardo Jimenez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patino, Patrick Valduriez
Publié dans: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 431-436, ISBN 978-989-758-377-3
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0008191304310436

Parallel Efficient Data Loading

Auteurs: Ricardo Jiménez-Peris, Francisco Ballesteros, Ainhoa Azqueta, Pavlos Kranas, Diego Burgos, Patricio Martínez
Publié dans: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 465-469, ISBN 978-989-758-377-3
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0008318904650469

Dynamic Data Streaming for an Appliance

Auteurs: Marta Patiño, Ainhoa Azqueta
Publié dans: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 470-477, ISBN 978-989-758-377-3
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0008319204700477

Real Time Financial Risk Monitoring as a Data-intensive Application

Auteurs: Petra Ristau, Lukas Krain
Publié dans: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 660-665, ISBN 978-989-758-365-0
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007905706600665

The End of the Nightly Batch: How In-memory Computing and the Cloud Are Transforming Business Processes

Auteurs: Antoine Chambille, Gaëlle Guimezanes
Publié dans: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 654-659, ISBN 978-989-758-365-0
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007905606540659

Towards Intra-Datacentre High-Availability in CloudDBAppliance

Auteurs: Luis Ferreira, Fábio Coelho, Ana Alonso, José Pereira
Publié dans: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 635-641, ISBN 978-989-758-365-0
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007876306350641

A Holistic Approach to Proximity Marketing

Auteurs: Dimitris Poulopoulos, Athina Kalampogia
Publié dans: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 629-634, ISBN 978-989-758-365-0
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007861106290634

Immediate Mobility Number Portability: Cloud Database Appliance Platform to Provide Central Portability

Auteurs: Katelaris Leonidas, Themistocleous Marinos, Brasca Fabrizio
Publié dans: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 621-624, ISBN 978-989-758-365-0
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007877306210624

A NUMA Aware SparkTM on Many-cores and Large Memory Servers

Auteurs: François Waeselynck, Benoit Pelletier
Publié dans: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 648-653, ISBN 978-989-758-365-0
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007905506480653

NUMA-aware Deployments for LeanXcale Database Appliance

Auteurs: Ricardo Jiménez-Peris, Francisco Ballesteros, Pavlos Kranas, Diego Burgos, Patricio Martínez
Publié dans: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 666-671, ISBN 978-989-758-365-0
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007905806660671

uCash: ATM Cash Management as a Critical and Data-intensive Application

Auteurs: Terpsichori-Helen Velivassaki, Panagiotis Athanasoulis, Panagiotis Trakadas
Publié dans: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 642-647, ISBN 978-989-758-365-0
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007876606420647

Data Streaming for Appliances

Auteurs: Marta Patiño, Ainhoa Azqueta
Publié dans: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 672-678, ISBN 978-989-758-365-0
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007905906720678

Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities

Auteurs: Boyan Kolev, Reza Akbarinia, Ricardo Jimenez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patino, Patrick Valduriez
Publié dans: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 681-687, ISBN 978-989-758-365-0
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007843806810687

Parallel Polyglot Query Processing on Heterogeneous Cloud Data Stores with LeanXcale

Auteurs: Boyan Kolev, Oleksandra Levchenko, Esther Pacitti, Patrick Valduriez, Ricardo Vilaca, Rui Goncalves, Ricardo Jimenez-Peris, Pavlos Kranas
Publié dans: 2018 IEEE International Conference on Big Data (Big Data), 2018, Page(s) 1757-1766, ISBN 978-1-5386-5035-6
Éditeur: IEEE
DOI: 10.1109/bigdata.2018.8622187

Spark-parSketch - A Massively Distributed Indexing of Time Series Datasets

Auteurs: Oleksandra Levchenko, Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Boyan Kolev, Dennis Shasha
Publié dans: Proceedings of the 27th ACM International Conference on Information and Knowledge Management - CIKM '18, 2018, Page(s) 1951-1954, ISBN 9781-450360142
Éditeur: ACM Press
DOI: 10.1145/3269206.3269226

Fault-Tolerance Evaluation of a New SQL Database

Auteurs: Ainhoa Azqueta-Alzuaz, Marta Patino Martinez, Valerio Vianello, Ricardo Jimenez Peris
Publié dans: 2018 14th European Dependable Computing Conference (EDCC), 2018, Page(s) 81-86, ISBN 978-1-5386-8060-5
Éditeur: IEEE
DOI: 10.1109/edcc.2018.00023

Cost-based Fault-tolerance for Parallel Data Processing

Auteurs: Abdallah Salama, Carsten Binnig, Tim Kraska, Erfan Zamanian
Publié dans: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15, 2015, Page(s) 285-297, ISBN 9781-450327589
Éditeur: ACM Press
DOI: 10.1145/2723372.2749437

Falcon: A Practical Log-Based Analysis Tool for Distributed Systems

Auteurs: Francisco Neves, Nuno Machado, JosA Pereira
Publié dans: 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2018, Page(s) 534-541, ISBN 978-1-5386-5596-2
Éditeur: IEEE
DOI: 10.1109/dsn.2018.00061

Top-k Query Processing over Distributed Sensitive Data

Auteurs: Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez
Publié dans: Proceedings of the 22nd International Database Engineering & Applications Symposium on - IDEAS 2018, 2018, Page(s) 208-216, ISBN 9781-450365277
Éditeur: ACM Press
DOI: 10.1145/3216122.3216153

A Differentially Private Index for Range Query Processing in Clouds

Auteurs: Cetin Sahin, Tristan Allard, Reza Akbarinia, Amr El Abbadi, Esther Pacitti
Publié dans: 2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018, Page(s) 857-868, ISBN 978-1-5386-5520-7
Éditeur: IEEE
DOI: 10.1109/icde.2018.00082

Highly Scalable Real-Time Analytics with CloudDBAppliance

Auteurs: Kolev , Boyan; Levchenko , Oleksandra; Masseglia , Florent; Akbarinia , Reza; Pacitti , Esther; Valduriez , Patrick
Publié dans: "XLDB: Extremely Large Databases Conference, Oct 2017, Clermont-Ferrand, France. 10th Extremely Large Databases Conference, 2017, ⟨https://xldb2017.uca.fr⟩", Numéro 1, 2017
Éditeur: IEEE

Typed Linear Algebra for Efficient Analytical Querying

Auteurs: Afonso, João M.; Fernandes, Gabriel D.; Fernandes, João P.; Oliveira, Filipe; Ribeiro, Bruno M.; Pontes, Rogério; Oliveira, José N.; Proença, Alberto J.
Publié dans: Numéro 1, 2018
Éditeur: Springer
DOI: 10.13140/rg.2.2.30588.18562

Dirichlet process mixture models made scalable and effective by means of massive distribution

Auteurs: Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia
Publié dans: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing - SAC '19, 2019, Page(s) 502-509, ISBN 9781-450359337
Éditeur: ACM Press
DOI: 10.1145/3297280.3297327

Using a Skip-gram Architecture for Model Contextualization in CARS

Auteurs: Dimitris Poulopoulos, Athina Kalampogia
Publié dans: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 443-446, ISBN 978-989-758-377-3
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0008256304430446

GPU Acceleration of PySpark using RAPIDS AI

Auteurs: Abdallah Aguerzame, Benoit Pelletier, François Waeselynck
Publié dans: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 437-442, ISBN 978-989-758-377-3
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0008191404370442

Peer reviewed articles (4)

Hybrid binary consensus in anonymous asynchronous systems using coins and failure detectors

Auteurs: Ernesto Jiménez, José Luis López-Presa, Javier Martín-Rueda
Publié dans: The Journal of Supercomputing, Numéro 75/12, 2019, Page(s) 8262-8292, ISSN 0920-8542
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s11227-019-03001-6

ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows

Auteurs: Djamel Edine Yagoubi, Reza Akbarinia, Boyan Kolev, Oleksandra Levchenko, Florent Masseglia, Patrick Valduriez, Dennis Shasha
Publié dans: Data Mining and Knowledge Discovery, Numéro 32/5, 2018, Page(s) 1481-1507, ISSN 1384-5810
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10618-018-0580-z

A survey of scheduling frameworks in big data systems

Auteurs: Ji Liu, Esther Pacitti, Patrick Valduriez
Publié dans: International Journal of Cloud Computing, Numéro 7/2, 2018, Page(s) 103, ISSN 2043-9989
Éditeur: Inderscience Publishers
DOI: 10.1504/ijcc.2018.093765

Massively Distributed Time Series Indexing and Querying

Auteurs: Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas
Publié dans: IEEE Transactions on Knowledge and Data Engineering, Numéro 32/1, 2020, Page(s) 108-120, ISSN 1041-4347
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TKDE.2018.2880215

Book chapters (5)

Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach

Auteurs: Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia
Publié dans: Advanced Information Systems Engineering - 29th International Conference, CAiSE 2017, Essen, Germany, June 12-16, 2017, Proceedings, Numéro 10253, 2017, Page(s) 231-246, ISBN 978-3-319-59535-1
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-59536-8_15

Mobile Number Portability Using a Reliable Cloud Database Appliance to Match Predictable Performance

Auteurs: Katelaris Leonidas, Themistocleous Marinos, Giovanni Roberto
Publié dans: Information Systems - 15th European, Mediterranean, and Middle Eastern Conference, EMCIS 2018, Limassol, Cyprus, October 4-5, 2018, Proceedings, Numéro 341, 2019, Page(s) 185-190, ISBN 978-3-030-11394-0
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-11395-7_17

Discovering Tight Space-Time Sequences

Auteurs: Riccardo Campisano, Heraldo Borges, Fabio Porto, Fabio Perosi, Esther Pacitti, Florent Masseglia, Eduardo Ogasawara
Publié dans: Big Data Analytics and Knowledge Discovery - 20th International Conference, DaWaK 2018, Regensburg, Germany, September 3–6, 2018, Proceedings, Numéro 11031, 2018, Page(s) 247-257, ISBN 978-3-319-98538-1
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-98539-8_19

Answering Top-k Queries over Outsourced Sensitive Data in the Cloud

Auteurs: Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez
Publié dans: Database and Expert Systems Applications - 29th International Conference, DEXA 2018, Regensburg, Germany, September 3–6, 2018, Proceedings, Part I, Numéro 11029, 2018, Page(s) 218-231, ISBN 978-3-319-98808-5
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-98809-2_14

Privacy-Preserving Top-k Query Processing in Distributed Systems

Auteurs: Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez
Publié dans: Euro-Par 2018: Parallel Processing - 24th International Conference on Parallel and Distributed Computing, Turin, Italy, August 27 - 31, 2018, Proceedings, Numéro 11014, 2018, Page(s) 281-292, ISBN 978-3-319-96982-4
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-96983-1_20