Skip to main content

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

Deliverables

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.

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.

Searching for OpenAIRE data...

Publications

RadiusSketch: Massively Distributed Indexing of Time Series

Author(s): Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Dennis Shasha
Published in: 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2017, Page(s) 262-271
DOI: 10.1109/DSAA.2017.49

Massive Data Load on Distributed Database Systems over HBase

Author(s): Ainhoa Azqueta-Alzuaz, Marta Patino-Martinez, Ivan Brondino, Ricardo Jimenez-Peris
Published in: 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2017, Page(s) 776-779
DOI: 10.1109/CCGRID.2017.124

Similarity Aware Shuffling for the Distributed Execution of SQL Window Functions

Author(s): Fábio Coelho, Miguel Matos, José Pereira, Rui Oliveira
Published in: Distributed Applications and Interoperable Systems. DAIS 2017, 2017, Page(s) 3-18
DOI: 10.1007/978-3-319-59665-5_1

Load balancing for Key Value Data Stores

Author(s): Ainhoa Azqueta-Alzúaz, Marta Patiño-Martínez, Ivan Brondino, Ricardo Jimenez-Peris
Published in: 20th Inter- national Conference on Extending Database Technology (EDBT), 2017, Page(s) 506-509
DOI: 10.5441/002/edbt.2017.56

The data cube as a typed linear algebra operator

Author(s): J. N. Oliveira, H. D. Macedo
Published in: Proceedings of The 16th International Symposium on Database Programming Languages - DBPL '17, 2017, Page(s) 1-11
DOI: 10.1145/3122831.3122834

DDFLASKS: Deduplicated Very Large Scale Data Store

Author(s): Francisco Maia, João Paulo, Fábio Coelho, Francisco Neves, José Pereira, Rui Oliveira
Published in: Distributed Applications and Interoperable Systems. DAIS 2017, 2017, Page(s) 51-66
DOI: 10.1007/978-3-319-59665-5_4

Benchmarking polystores: The CloudMdsQL experience

Author(s): Boyan Kolev, Raquel Pau, Oleksandra Levchenko, Patrick Valduriez, Ricardo Jimenez-Peris, Jose Pereira
Published in: 2016 IEEE International Conference on Big Data (Big Data), 2016, Page(s) 2574-2579
DOI: 10.1109/BigData.2016.7840899

DPiSAX: Massively Distributed Partitioned iSAX

Author(s): Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas
Published in: 2017 IEEE International Conference on Data Mining (ICDM), 2017, Page(s) 1135-1140
DOI: 10.1109/ICDM.2017.151

Maximally informative k-itemset mining from massively distributed data streams

Author(s): Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia
Published in: Proceedings of the 33rd Annual ACM Symposium on Applied Computing - SAC '18, 2018, Page(s) 502-509
DOI: 10.1145/3167132.3167187

Distributed Algorithms to Find Similar Time Series

Author(s): Levchenko, Oleksandra; Kolev, Boyan; Yagoubi, Djamel-Edine; Shasha, Dennis; Palpanas, Themis; Valduriez, Patrick; Akbarinia, Reza; Masseglia, Florent
Published in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019

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

Author(s): Petra Ristau
Published in: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 459-464
DOI: 10.5220/0008318704590464

Recovery in CloudDBAppliance’s High-availability Middleware

Author(s): Hugo Abreu, Luis Ferreira, Fábio Coelho, Ana Alonso, José Pereira
Published in: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 447-453
DOI: 10.5220/0008318304470453

Fast and Streaming Analytics in ATM Cash Management

Author(s): Terpsichori-Helen Velivassaki, Panagiotis Athanasoulis
Published in: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 454-458
DOI: 10.5220/0008318504540458

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

Author(s): Boyan Kolev, Reza Akbarinia, Ricardo Jimenez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patino, Patrick Valduriez
Published in: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 431-436
DOI: 10.5220/0008191304310436

Parallel Efficient Data Loading

Author(s): Ricardo Jiménez-Peris, Francisco Ballesteros, Ainhoa Azqueta, Pavlos Kranas, Diego Burgos, Patricio Martínez
Published in: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 465-469
DOI: 10.5220/0008318904650469

Dynamic Data Streaming for an Appliance

Author(s): Marta Patiño, Ainhoa Azqueta
Published in: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 470-477
DOI: 10.5220/0008319204700477

Real Time Financial Risk Monitoring as a Data-intensive Application

Author(s): Petra Ristau, Lukas Krain
Published in: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 660-665
DOI: 10.5220/0007905706600665

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

Author(s): Antoine Chambille, Gaëlle Guimezanes
Published in: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 654-659
DOI: 10.5220/0007905606540659

Towards Intra-Datacentre High-Availability in CloudDBAppliance

Author(s): Luis Ferreira, Fábio Coelho, Ana Alonso, José Pereira
Published in: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 635-641
DOI: 10.5220/0007876306350641

A Holistic Approach to Proximity Marketing

Author(s): Dimitris Poulopoulos, Athina Kalampogia
Published in: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 629-634
DOI: 10.5220/0007861106290634

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

Author(s): Katelaris Leonidas, Themistocleous Marinos, Brasca Fabrizio
Published in: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 621-624
DOI: 10.5220/0007877306210624

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

Author(s): François Waeselynck, Benoit Pelletier
Published in: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 648-653
DOI: 10.5220/0007905506480653

NUMA-aware Deployments for LeanXcale Database Appliance

Author(s): Ricardo Jiménez-Peris, Francisco Ballesteros, Pavlos Kranas, Diego Burgos, Patricio Martínez
Published in: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 666-671
DOI: 10.5220/0007905806660671

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

Author(s): Terpsichori-Helen Velivassaki, Panagiotis Athanasoulis, Panagiotis Trakadas
Published in: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 642-647
DOI: 10.5220/0007876606420647

Data Streaming for Appliances

Author(s): Marta Patiño, Ainhoa Azqueta
Published in: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 672-678
DOI: 10.5220/0007905906720678

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

Author(s): Boyan Kolev, Reza Akbarinia, Ricardo Jimenez-Peris, Oleksandra Levchenko, Florent Masseglia, Marta Patino, Patrick Valduriez
Published in: Proceedings of the 9th International Conference on Cloud Computing and Services Science, 2019, Page(s) 681-687
DOI: 10.5220/0007843806810687

Parallel Polyglot Query Processing on Heterogeneous Cloud Data Stores with LeanXcale

Author(s): Boyan Kolev, Oleksandra Levchenko, Esther Pacitti, Patrick Valduriez, Ricardo Vilaca, Rui Goncalves, Ricardo Jimenez-Peris, Pavlos Kranas
Published in: 2018 IEEE International Conference on Big Data (Big Data), 2018, Page(s) 1757-1766
DOI: 10.1109/bigdata.2018.8622187

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

Author(s): Oleksandra Levchenko, Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Boyan Kolev, Dennis Shasha
Published in: Proceedings of the 27th ACM International Conference on Information and Knowledge Management - CIKM '18, 2018, Page(s) 1951-1954
DOI: 10.1145/3269206.3269226

Fault-Tolerance Evaluation of a New SQL Database

Author(s): Ainhoa Azqueta-Alzuaz, Marta Patino Martinez, Valerio Vianello, Ricardo Jimenez Peris
Published in: 2018 14th European Dependable Computing Conference (EDCC), 2018, Page(s) 81-86
DOI: 10.1109/edcc.2018.00023

Cost-based Fault-tolerance for Parallel Data Processing

Author(s): Abdallah Salama, Carsten Binnig, Tim Kraska, Erfan Zamanian
Published in: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15, 2015, Page(s) 285-297
DOI: 10.1145/2723372.2749437

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

Author(s): Francisco Neves, Nuno Machado, JosA Pereira
Published in: 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2018, Page(s) 534-541
DOI: 10.1109/dsn.2018.00061

Top-k Query Processing over Distributed Sensitive Data

Author(s): Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez
Published in: Proceedings of the 22nd International Database Engineering & Applications Symposium on - IDEAS 2018, 2018, Page(s) 208-216
DOI: 10.1145/3216122.3216153

A Differentially Private Index for Range Query Processing in Clouds

Author(s): Cetin Sahin, Tristan Allard, Reza Akbarinia, Amr El Abbadi, Esther Pacitti
Published in: 2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018, Page(s) 857-868
DOI: 10.1109/icde.2018.00082

Highly Scalable Real-Time Analytics with CloudDBAppliance

Author(s): Kolev , Boyan; Levchenko , Oleksandra; Masseglia , Florent; Akbarinia , Reza; Pacitti , Esther; Valduriez , Patrick
Published in: "XLDB: Extremely Large Databases Conference, Oct 2017, Clermont-Ferrand, France. 10th Extremely Large Databases Conference, 2017, ⟨https://xldb2017.uca.fr⟩", Issue 1, 2017

Typed Linear Algebra for Efficient Analytical Querying

Author(s): Afonso, João M.; Fernandes, Gabriel D.; Fernandes, João P.; Oliveira, Filipe; Ribeiro, Bruno M.; Pontes, Rogério; Oliveira, José N.; Proença, Alberto J.
Published in: Issue 1, 2018
DOI: 10.13140/rg.2.2.30588.18562

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

Author(s): Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia
Published in: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing - SAC '19, 2019, Page(s) 502-509
DOI: 10.1145/3297280.3297327

Using a Skip-gram Architecture for Model Contextualization in CARS

Author(s): Dimitris Poulopoulos, Athina Kalampogia
Published in: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 443-446
DOI: 10.5220/0008256304430446

GPU Acceleration of PySpark using RAPIDS AI

Author(s): Abdallah Aguerzame, Benoit Pelletier, François Waeselynck
Published in: Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 437-442
DOI: 10.5220/0008191404370442

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

Author(s): Ernesto Jiménez, José Luis López-Presa, Javier Martín-Rueda
Published in: The Journal of Supercomputing, Issue 75/12, 2019, Page(s) 8262-8292, ISSN 0920-8542
DOI: 10.1007/s11227-019-03001-6

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

Author(s): Djamel Edine Yagoubi, Reza Akbarinia, Boyan Kolev, Oleksandra Levchenko, Florent Masseglia, Patrick Valduriez, Dennis Shasha
Published in: Data Mining and Knowledge Discovery, Issue 32/5, 2018, Page(s) 1481-1507, ISSN 1384-5810
DOI: 10.1007/s10618-018-0580-z

A survey of scheduling frameworks in big data systems

Author(s): Ji Liu, Esther Pacitti, Patrick Valduriez
Published in: International Journal of Cloud Computing, Issue 7/2, 2018, Page(s) 103, ISSN 2043-9989
DOI: 10.1504/ijcc.2018.093765

Massively Distributed Time Series Indexing and Querying

Author(s): Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas
Published in: IEEE Transactions on Knowledge and Data Engineering, Issue 32/1, 2020, Page(s) 108-120, ISSN 1041-4347
DOI: 10.1109/TKDE.2018.2880215

Massively Distributed Environments and Closed Itemset Mining: The DCIM Approach

Author(s): Mehdi Zitouni, Reza Akbarinia, Sadok Ben Yahia, Florent Masseglia
Published in: Advanced Information Systems Engineering - 29th International Conference, CAiSE 2017, Essen, Germany, June 12-16, 2017, Proceedings, Issue 10253, 2017, Page(s) 231-246
DOI: 10.1007/978-3-319-59536-8_15

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

Author(s): Katelaris Leonidas, Themistocleous Marinos, Giovanni Roberto
Published in: Information Systems - 15th European, Mediterranean, and Middle Eastern Conference, EMCIS 2018, Limassol, Cyprus, October 4-5, 2018, Proceedings, Issue 341, 2019, Page(s) 185-190
DOI: 10.1007/978-3-030-11395-7_17

Discovering Tight Space-Time Sequences

Author(s): Riccardo Campisano, Heraldo Borges, Fabio Porto, Fabio Perosi, Esther Pacitti, Florent Masseglia, Eduardo Ogasawara
Published in: Big Data Analytics and Knowledge Discovery - 20th International Conference, DaWaK 2018, Regensburg, Germany, September 3–6, 2018, Proceedings, Issue 11031, 2018, Page(s) 247-257
DOI: 10.1007/978-3-319-98539-8_19

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

Author(s): Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez
Published in: Database and Expert Systems Applications - 29th International Conference, DEXA 2018, Regensburg, Germany, September 3–6, 2018, Proceedings, Part I, Issue 11029, 2018, Page(s) 218-231
DOI: 10.1007/978-3-319-98809-2_14

Privacy-Preserving Top-k Query Processing in Distributed Systems

Author(s): Sakina Mahboubi, Reza Akbarinia, Patrick Valduriez
Published in: Euro-Par 2018: Parallel Processing - 24th International Conference on Parallel and Distributed Computing, Turin, Italy, August 27 - 31, 2018, Proceedings, Issue 11014, 2018, Page(s) 281-292
DOI: 10.1007/978-3-319-96983-1_20