Deliverables
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 ReportA 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 SubsystemsA 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 2This 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 SubsystemsA 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 DesignReport 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 SubsystemsA 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 SubsystemsA 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 1This 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 Subsystemsset 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 2This 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 AnalysisReport documenting the requirements collected for the different use cases.
Micro-Benchmarking and Evaluation of Initial Version of Database SubsystemsA 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 SubsystemsA 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 1This 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 SubsystemsA 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 factsheetA two-pager factsheet about the project vision, consortium and funding will be produced.
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
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, ISBN 978-1-5090-5004-8
Publisher:
IEEE
DOI:
10.1109/DSAA.2017.49
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, ISBN 978-1-5090-6611-7
Publisher:
IEEE
DOI:
10.1109/CCGRID.2017.124
Author(s):
Fábio Coelho, Miguel Matos, José Pereira, Rui Oliveira
Published in:
Distributed Applications and Interoperable Systems. DAIS 2017, 2017, Page(s) 3-18, ISBN 978-3-319-59665-5
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-319-59665-5_1
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, ISBN 978-3-89318-073-8
Publisher:
Open Proceedings
DOI:
10.5441/002/edbt.2017.56
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, ISBN 9781-450353540
Publisher:
ACM Press
DOI:
10.1145/3122831.3122834
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, ISBN 978-3-319-59665-5
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-319-59665-5_4
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, ISBN 978-1-4673-9005-7
Publisher:
IEEE
DOI:
10.1109/BigData.2016.7840899
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, ISBN 978-1-5386-3835-4
Publisher:
IEEE
DOI:
10.1109/ICDM.2017.151
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, ISBN 9781-450351911
Publisher:
ACM Press
DOI:
10.1145/3167132.3167187
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
Publisher:
Springer
Author(s):
Petra Ristau
Published in:
Proceedings of the 8th International Conference on Data Science, Technology and Applications, 2019, Page(s) 459-464, ISBN 978-989-758-377-3
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0008318704590464
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, ISBN 978-989-758-377-3
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0008318304470453
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, ISBN 978-989-758-377-3
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0008318504540458
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, ISBN 978-989-758-377-3
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0008191304310436
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, ISBN 978-989-758-377-3
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0008318904650469
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, ISBN 978-989-758-377-3
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0008319204700477
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, ISBN 978-989-758-365-0
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0007905706600665
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, ISBN 978-989-758-365-0
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0007905606540659
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, ISBN 978-989-758-365-0
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0007876306350641
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, ISBN 978-989-758-365-0
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0007861106290634
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, ISBN 978-989-758-365-0
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0007877306210624
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, ISBN 978-989-758-365-0
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0007905506480653
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, ISBN 978-989-758-365-0
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0007905806660671
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, ISBN 978-989-758-365-0
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0007876606420647
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, ISBN 978-989-758-365-0
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0007905906720678
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, ISBN 978-989-758-365-0
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0007843806810687
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, ISBN 978-1-5386-5035-6
Publisher:
IEEE
DOI:
10.1109/bigdata.2018.8622187
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, ISBN 9781-450360142
Publisher:
ACM Press
DOI:
10.1145/3269206.3269226
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, ISBN 978-1-5386-8060-5
Publisher:
IEEE
DOI:
10.1109/edcc.2018.00023
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, ISBN 9781-450327589
Publisher:
ACM Press
DOI:
10.1145/2723372.2749437
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, ISBN 978-1-5386-5596-2
Publisher:
IEEE
DOI:
10.1109/dsn.2018.00061
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, ISBN 9781-450365277
Publisher:
ACM Press
DOI:
10.1145/3216122.3216153
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, ISBN 978-1-5386-5520-7
Publisher:
IEEE
DOI:
10.1109/icde.2018.00082
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
Publisher:
IEEE
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
Publisher:
Springer
DOI:
10.13140/rg.2.2.30588.18562
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, ISBN 9781-450359337
Publisher:
ACM Press
DOI:
10.1145/3297280.3297327
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, ISBN 978-989-758-377-3
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0008256304430446
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, ISBN 978-989-758-377-3
Publisher:
SCITEPRESS - Science and Technology Publications
DOI:
10.5220/0008191404370442
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
Publisher:
Kluwer Academic Publishers
DOI:
10.1007/s11227-019-03001-6
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
Publisher:
Kluwer Academic Publishers
DOI:
10.1007/s10618-018-0580-z
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
Publisher:
Inderscience Publishers
DOI:
10.1504/ijcc.2018.093765
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
Publisher:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/TKDE.2018.2880215
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, ISBN 978-3-319-59535-1
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-319-59536-8_15
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, ISBN 978-3-030-11394-0
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-030-11395-7_17
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, ISBN 978-3-319-98538-1
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-319-98539-8_19
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, ISBN 978-3-319-98808-5
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-319-98809-2_14
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, ISBN 978-3-319-96982-4
Publisher:
Springer International Publishing
DOI:
10.1007/978-3-319-96983-1_20
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