Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements

Informations projet

DICE

N° de convention de subvention: 644869

DOI 10.3030/644869

Projet clôturé

Date de signature de la CE 15 Decembre 2014

Date de début 1 Février 2015

Date de fin 31 Janvier 2018

Financé au titre de

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

Coût total € 3 954 484,00

Contribution de l’UE € 3 954 484,00

Coordonné par

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
United Kingdom

Livrables

Demonstrators, pilots, prototypes (21)

Monitoring and data warehousing tools - Initial version

This deliverable will document the monitoring and data archival methodology developed in T4.1 and the related implementation.

DICE delivery tools - Initial version

Implementation and accompanying report on the algorithms and tools developed in T5.1 and T5.2.

DICE framework - Final version

Report and open source releases of the integrated solution of T1.3 at M24 and updated at M30.

DICE optimisation tools - Final version

This deliverable is the implementation (with an accompanying document) of the design space exploration tool for the cost minimisation of architecture and deployment plans, as developed in T3.4. Besides releasing code, it will feature a report documenting the implementation.

DICE verification tools - Intermediate version

This deliverable is the implementation (with an accompanying document) of the verification tool to evaluate safety of data-intensive applications, as developed in T3.3. Besides releasing code, it will feature a report documenting the implementation.

Iterative quality enhancement tools - Initial version

This deliverable will describe the methods and release the tool implementations developed in T4.3.

DICE testing tools - Final version

Implementation and accompanying report on the algorithms and testing framework developed in T5.3 and the fault injection tools in T5.4.

DICE testing tools - Initial version

Implementation and accompanying report on the algorithms and testing framework developed in T5.3 and the fault injection tools in T5.4.

DICE delivery tools - Final version

Implementation and accompanying report on the algorithms and tools developed in T5.1 and T5.2.

Quality anomaly detection and trace checking tools - Final version

This deliverable will give implementation and documentation for the techniques developed in T4.2.

Iterative quality enhancement tools - Final version

This deliverable will describe the methods and release the tool implementations developed in T4.3.

DICE delivery tools - Intermediate version

Implementation and accompanying report on the algorithms and tools developed in T5.1 and T5.2.

DICE verification tools - Final version

This deliverable is the implementation (with an accompanying document) of the verification tool to evaluate safety of data-intensive applications, as developed in T3.3. Besides releasing code, it will feature a report documenting the implementation.

DICE verification tools - Initial version

This deliverable is the implementation (with an accompanying document) of the verification tool to evaluate safety of data-intensive applications, as developed in T3.3. Besides releasing code, it will feature a report documenting the implementation.

DICE framework - Initial version

Report and open source releases of the integrated solution of T1.3 at M24 and updated at M30.

DICE simulation tools - Intermediate version

This deliverable is the implementation (with an accompanying document) of the verification tool to evaluate safety of data-intensive applications, as developed in T3.3. Besides releasing code, it will feature a report documenting the implementation.

DICE simulation tools - Final Version

This deliverable is the implementation (with an accompanying document) of the verification tool to evaluate safety of data-intensive applications, as developed in T3.3. Besides releasing code, it will feature a report documenting the implementation.

DICE optimisation tools - Initial version

This deliverable is the implementation (with an accompanying document) of the design space exploration tool for the cost minimisation of architecture and deployment plans, as developed in T3.4. Besides releasing code, it will feature a report documenting the implementation.

Monitoring and data warehousing tools - Final version

This deliverable will document the monitoring and data archival methodology developed in T4.1 and the related implementation.

DICE simulation tools - Initial version

This deliverable is the implementation (with an accompanying document) of the verification tool to evaluate safety of data-intensive applications, as developed in T3.3. Besides releasing code, it will feature a report documenting the implementation.

Quality anomaly detection and trace checking tools - Initial version

This deliverable will give implementation and documentation for the techniques developed in T4.2.

Documents, reports (12)

Architecture definition and integration plan - Initial version

Report on the architecture defined in T1.2 and its integration plan that will guide T1.3. The main version will be released at M9 and updated at M24.

Final assessment report and impact analysis

The final report summarising all the results of achieved in the demonstrators and the expected impact arising from these conclusions.

DICE methodology

This deliverable will summarise the DICE methodology and the design workflow developed within T2.4.

Deployment abstractions - Initial version

This deliverable will provide the specification of DICE DDSM meta-models and the TOSCA DSL extension for deployment of data-intensive applications in private and public clouds developed within T2.3.

Transformations to analysis models

This deliverable describes and implements the model transformation techniques to obtain simulation and verification models from the application models, as developed in T3.1.

Design and quality abstractions - Final version

This deliverable will provide the specification of the functional and quality modelling abstractions developed within T2.1 and T2.2.

Architecture definition and integration plan - Final version

Report on the architecture defined in T1.2 and its integration plan that will guide T1.3. The main version will be released at M9 and updated at M24.

Deployment abstractions - Final version

This deliverable will provide the specification of DICE DDSM meta-models and the TOSCA DSL extension for deployment of data-intensive applications in private and public clouds developed within T2.3.

Requirement specification

Report presenting the requirements defined in T1.1. The initial version will focus on the requirements of the technical work packages and outline the initial requirements of the use cases, which will be later extended at M16 in D6.1 for the demonstrators.

Demonstrators implementation plan

Stemming from the initial requirements in T1.1, this deliverable will define a concrete implementation plan for the demonstrators.

State of the art analysis

Document presenting the state of the art review performed in T1.1.

Design and quality abstractions - Initial version

This deliverable will provide the specification of the functional and quality modelling abstractions developed within T2.1 and T2.2.

Other (1)

Cloud testbed setup

Report on the testbed setup by FLEXI including a description of the fault-injection tools and techniques developed on top of this testbed. The DICE FDL plug-in developed by FLEXI will also be described in this deliverable. This deliverable will report the efforts by documenting the testbed developed in T5.4.

Websites, patent fillings, videos etc. (1)

Software engineering book

Publish book on the new software engineering for Big Data applications.

Publications

Peer reviewed articles (20)

On Throughput Approximation of Resource-Allocation Systems by Bottleneck Regrowing

Auteurs: Ricardo J. Rodriguez, Javier Campos
Publié dans: IEEE Transactions on Control Systems Technology, Numéro Nov 2017, 2017, Page(s) 1-8, ISSN 1063-6536
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TCST.2017.2768512

A Systematic Approach for Performance Assessment Using Process Mining

Auteurs: S. Bernardi (ZAR), J. L. Domínguez (PRO), A.Gómez (ZAR), C. Joubert (PRO), J. Merseguer (ZAR), D. Perez-Palacin, (ZAR), J.I. Requeno (ZAR) and A. Romeu (PRO)
Publié dans: Empirical Software Engineering, 2018, Page(s) 1-48, ISSN 1382-3256
Éditeur: Kluwer Academic Publishers
DOI: 10.5281/zenodo.1010446

Towards a Model-Driven Engineering approach for the assessment of Non-Functional Properties using multiformalism

Auteurs: Simona Bernardi (ZAR), Stefano Marrone, José Merseguer (ZAR), Roberto Nardone, Valeria Vittorini
Publié dans: Software and System Modeling, 2017, ISSN 1619-1366
Éditeur: Springer Verlag
DOI: 10.1007/s10270-018-0663-8

Fluid Petri Nets for the Performance Evaluation of MapReduce and Spark Applications

Auteurs: Eugenio Gianniti, Alessandro Maria Rizzi, Enrico Barbierato, Marco Gribaudo, Danilo Ardagna
Publié dans: ACM SIGMETRICS Performance Evaluation Review, Numéro 44/4, 2017, Page(s) 23-36, ISSN 0163-5999
Éditeur: ACM
DOI: 10.1145/3092819.3092824

Contention-Aware Workload Placement for In-Memory Databases in Cloud Environments

Auteurs: Karsten Molka, Giuliano Casale
Publié dans: ACM Transactions on Modeling and Performance Evaluation of Computing Systems, Numéro 2/1, 2016, Page(s) 1-29, ISSN 2376-3639
Éditeur: ACM TOMPECS
DOI: 10.1145/2961888

Quantitative Analysis of Apache Storm Applications: The NewsAsset Case Study

Auteurs: J.I. Requeno (ZAR), J. Merseguer (ZAR), S. Bernardi (ZAR), D. Perez-Palacin (ZAR), G. Giotis (ATC) and V. Papanikolaou (ATC)
Publié dans: Information System Frontiers, 2018, Page(s) 1-20, ISSN 1387-3326
Éditeur: Kluwer Academic Publishers

QD-AMVA: Evaluating systems with queue-dependent service requirements

Auteurs: Giuliano Casale, Juan F. Pérez, Weikun Wang
Publié dans: Performance Evaluation, Numéro 91, 2015, Page(s) 80-98, ISSN 0166-5316
Éditeur: Elsevier BV
DOI: 10.1016/j.peva.2015.06.006

Evaluating approaches to resource demand estimation

Auteurs: Simon Spinner, Giuliano Casale, Fabian Brosig, Samuel Kounev
Publié dans: Performance Evaluation, Numéro 92, 2015, Page(s) 51-71, ISSN 0166-5316
Éditeur: Elsevier BV
DOI: 10.1016/j.peva.2015.07.005

A Petri net tool for software performance estimation based on upper throughput bounds

Auteurs: Ricardo J. Rodríguez
Publié dans: Automated Software Engineering, 2015, ISSN 0928-8910
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10515-015-0186-2

Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data

Auteurs: Weikun Wang, Giuliano Casale
Publié dans: ACM SIGMETRICS Performance Evaluation Review, Numéro 43/2, 2015, Page(s) 45-47, ISSN 0163-5999
Éditeur: ACM
DOI: 10.1145/2825236.2825255

A model-driven approach to survivability requirement assessment for critical systems

Auteurs: S. Bernardi, L. Dranca, J. Merseguer
Publié dans: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Numéro 230/5, 2016, Page(s) 485-501, ISSN 1748-006X
Éditeur: Professional Engineering Publishing Ltd.
DOI: 10.1177/1748006X15626017

Guest Editorial: Automation in Software Performance Engineering

Auteurs: José Merseguer, Walter Binder, John Murphy
Publié dans: Automated Software Engineering, Numéro 24/1, 2017, Page(s) 71-72, ISSN 0928-8910
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10515-016-0201-2

Compact Markov-modulated models for multiclass trace fitting

Auteurs: Giuliano Casale, Andrea Sansottera, Paolo Cremonesi
Publié dans: European Journal of Operational Research, Numéro 255/3, 2016, Page(s) 822-833, ISSN 0377-2217
Éditeur: Elsevier BV
DOI: 10.1016/j.ejor.2016.06.005

Architecture of a Scalable Platform for Monitoring Multiple Big Data Frameworks

Auteurs: Gabriel Iuhasz, Daniel Pop, Ioan Dragan
Publié dans: Scalable Computing: Practice and Experience, Numéro 17/4, 2016, Page(s) 313-321, ISSN 1895-1767
Éditeur: universitatea de vest
DOI: 10.12694/scpe.v17i4.1203

A methodology for model-based verification of safety contracts and performance requirements

Auteurs: E. Gomez-Martinez, R. J. Rodriguez, C. Benac-Earle, L. Etxeberria, M. Illarramendi
Publié dans: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Numéro Article first published online: September 30, 2016, 2016, Page(s) 1-21, ISSN 1748-006X
Éditeur: Professional Engineering Publishing Ltd.
DOI: 10.1177/1748006X16667328

Current and Future Challenges of Software Engineering for Services and Applications

Auteurs: Giuliano Casale, Cristina Chesta, Peter Deussen, Elisabetta Di Nitto, Panagiotis Gouvas, Sotiris Koussouris, Vlado Stankovski, Andreas Symeonidis, Vlassis Vlassiou, Anastasios Zafeiropoulos, Zhiming Zhao
Publié dans: Procedia Computer Science, Numéro 97, 2016, Page(s) 34-42, ISSN 1877-0509
Éditeur: ScienceDirect Elsevier
DOI: 10.1016/j.procs.2016.08.278

Optimal Map Reduce Job Capacity Allocation in Cloud Systems

Auteurs: Marzieh Malekimajd, Danilo Ardagna, Michele Ciavotta, Alessandro Maria Rizzi, Mauro Passacantando
Publié dans: ACM SIGMETRICS Performance Evaluation Review, Numéro 42/4, 2015, Page(s) 51-61, ISSN 0163-5999
Éditeur: ACM
DOI: 10.1145/2788402.2788410

A model driven approach for assessing survivability requirements of critical infrastructures

Auteurs: Ugo Gentile, Simona Bernardi, Stefano Marrone, José Merseguer, Valeria Vittorini
Publié dans: Journal of High Speed Networks, Numéro 23/2, 2017, Page(s) 175-186, ISSN 0926-6801
Éditeur: IOS Press
DOI: 10.3233/JHS-170564

Modeling and Analysis of High Availability Techniques in a Virtualized System

Auteurs: Xiaolin Chang, Tianju Wang, Ricardo J. Rodríguez, Zhenjiang Zhang
Publié dans: The Computer Journal, Numéro Jun 2017, 2017, Page(s) 1-19, ISSN 0010-4620
Éditeur: Oxford University Press
DOI: 10.1093/comjnl/bxx049

Accurate modeling and efficient QoS analysis of scalable adaptive systems under bursty workload

Auteurs: Diego Perez-Palacin, Raffaela Mirandola, José Merseguer
Publié dans: Journal of Systems and Software, Numéro 130, 2017, Page(s) 24-41, ISSN 0164-1212
Éditeur: Elsevier BV
DOI: 10.1016/j.jss.2017.05.022

Conference proceedings (55)

Analyzing replacement policies in list-based caches with non-uniform access costs

Auteurs: G. Casale
Publié dans: IEEE INFOCOM, Numéro Yearly, 2018, Page(s) 9
Éditeur: IEEE

PAX: Partition-Aware Autoscaling for the Cassandra NoSQL Database

Auteurs: Salvatore Dipietro, Rajkumar Buyya, Giuliano Casale
Publié dans: IEEE/IFIP NOMS, Numéro Yearly, 2018, Page(s) 9 pages
Éditeur: IEEE
DOI: 10.5281/zenodo.1136276

Performance Degradation and Cost Impact Evaluation of Privacy Preserving Mechanisms in Big Data Systems

Auteurs: """Safia Kalwar (PMI), Eugenio Gianniti (PMI), Joas Yannick Kinouani (NETF), Youssef Ridene (NETF), Danilo Ardagna (PMI) """
Publié dans: Valuetools 2017 workshop proceedings, Numéro Yearly, 2018, Page(s) 1-14
Éditeur: Springer

On the Timed Analysis of Big-Data Applications

Auteurs: Francesco Marconi (PMI), Giovanni Quattrocchi (PMI),Luciano Baresi (PMI), Marcello M. Bersani (PMI), Matteo Rossi (PMI)
Publié dans: NFM 2018 Proceedings, Numéro Yearly proceedings, 2018, Page(s) 15
Éditeur: Springer
DOI: 10.5281/zenodo.1162853

Towards the Performance Analysis of Apache Tez Applications

Auteurs: Jose Ignacio Requeno (ZAR), ​Iñigo Gascón (​ZAR), José Merseguer (ZAR)
Publié dans: Proceedings of the ​4th​ Workshop on Quality Aware DevOps (QUDOS), Numéro yearly, 2018
Éditeur: ACM

A software architecture framework for quality-aware DevOps

Auteurs: Elisabetta Di Nitto, Pooyan Jamshidi, Michele Guerriero, Ilias Spais, Damian A. Tamburri
Publié dans: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, 2016, Page(s) 12-17, ISBN 9781-450344111
Éditeur: ACM Press
DOI: 10.1145/2945408.2945411

DICE: Quality-Driven Development of Data-Intensive Cloud Applications.

Auteurs: G. Casale (IMP), D. Ardagna (PMI), M. Artac (XLAB), F. Barbier (NETF), E. Di Nitto (PMI), A. Henry (NETF), G. Iuhasz (IEAT), C. Joubert (PRO), J. Merseguer (ZAR), V. I. Munteanu (IEAT), J. F. Pérez (IMP), D. Petcu (IEAT), M. Rossi (PMI), C. Sheridan (FLEXI), I. Spais (ATC), D. Vladušič (XLAB).
Publié dans: MISE 2015 at ICSE 2015, Numéro May 16-17 2015, 2015, Page(s) 6
Éditeur: IEEE

Towards Quality-Aware Development of Big Data Applications with DICE

Auteurs: Giuliano Casale (Imperial), Elisabetta di Nitto (Politecnico di Milano), Ilias Spais (ATC)
Publié dans: ESOCC, Numéro 15-17 September 2015, 2015, Page(s) 2
Éditeur: Springer LNCS

Filling the gap: a tool to automate parameter estimation for software performance models

Auteurs: Weikun Wang, Juan F. Pérez, Giuliano Casale
Publié dans: Proceedings of the 1st International Workshop on Quality-Aware DevOps - QUDOS 2015, 2015, Page(s) 31-32, ISBN 9781-450338172
Éditeur: ACM Press
DOI: 10.1145/2804371.2804379

Modelling multi-tier enterprise applications behaviour with design of experiments technique

Auteurs: Tatiana Ustinova, Pooyan Jamshidi
Publié dans: Proceedings of the 1st International Workshop on Quality-Aware DevOps - QUDOS 2015, 2015, Page(s) 13-18, ISBN 9781-450338172
Éditeur: ACM Press
DOI: 10.1145/2804371.2804374

Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data

Auteurs: Weikun Wang, Giuliano Casale (Imperial)
Publié dans: The Workshop on MAthematical performance Modeling and Analysis (MAMA 2015), Numéro 6/15/2015, 2015, Page(s) 317 - 324
Éditeur: ACM

SPACE4Cloud: a DevOps environment for multi-cloud applications

Auteurs: Michele Guerriero, Michele Ciavotta, Giovanni Paolo Gibilisco, Danilo Ardagna
Publié dans: Proceedings of the 1st International Workshop on Quality-Aware DevOps - QUDOS 2015, 2015, Page(s) 29-30, ISBN 9781-450338172
Éditeur: ACM Press
DOI: 10.1145/2804371.2804378

An Overview of Monitoring Tools for Big Data and Cloud Applications

Auteurs: Gabriel Iuhasz, Ioan Dragan
Publié dans: 2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2015, Page(s) 363-366, ISBN 978-1-5090-0461-4
Éditeur: IEEE
DOI: 10.1109/SYNASC.2015.62

Experiments or Simulation? A Characterization of Evaluation Methods for In-Memory Databases

Auteurs: Karsten Molka, Giuliano Casale
Publié dans: IFIP/IEEE CNSM 2015 Proceedings, Numéro 9/11/2015, 2015, Page(s) in print
Éditeur: IFIP/IEEE CNSM 2015 Proceedings

Service Quality Assurance in Multi-Clouds

Auteurs: Dana Petcu
Publié dans: GECON 2015 Proceedings, Numéro 14 Sept 2015, 2015, Page(s) in print
Éditeur: Springer, LNCS

Performance-oriented DevOps: A Research Agenda

Auteurs: Andreas Brunnert, André van Hoorn, Felix Willnecker, Alexandru Danciu, Wilhelm Hasselbring, Christoph Heger, Nikolas Herbst, Pooyan Jamshidi, Reiner Jung, Joakim von Kistowski, Anne Koziolek, Johannes Kroß, Simon Spinner, Christian Vögele, Jürgen Walter, Alexander Wert.
Publié dans: Technical Report SPEC-RG-2015-01, Numéro 8/1/2015, 2015
Éditeur: SPEC Research Group - DevOps Performance Working Group

Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data

Auteurs: Weikun Wang, Giuliano Casale, Ajay Kattepur, Manoj Nambiar
Publié dans: ACM/SPEC ICPE, Numéro 14/03/2016, 2016, Page(s) 12
Éditeur: ACM

Automated Parameterization of Performance Models from Measurements

Auteurs: Giuliano Casale, Simon Spinner, Weikun Wang
Publié dans: ACM/SPEC ICPE, Numéro 14/03/2016, 2016
Éditeur: ACM

How bit-vector logic can help improve the verification of LTL specifications over infinite domains

Auteurs: Luciano Baresi, Mohammad Mehdi Pourhashem Kallehbasti, Matteo Rossi
Publié dans: Proceedings of the 31st Annual ACM Symposium on Applied Computing - SAC '16, 2016, Page(s) 1666-1673, ISBN 9781-450337397
Éditeur: ACM Press
DOI: 10.1145/2851613.2851833

Palladio Optimization Suite: QoS optimization for component-based Cloud applications

Auteurs: Michele Ciavotta, Michele Ardagna, Anne Koziolek
Publié dans: Proceedings of the 9th EAI International Conference on Performance Evaluation Methodologies and Tools, Numéro 14-16 December, 2015, 2016, ISBN 978-1-63190-096-9
Éditeur: ICST
DOI: 10.4108/eai.14-12-2015.2262562

Continuous Architecting of Stream-Based Systems

Auteurs: Marcello M. Bersani (PoliMi), Francesco Marconi (PoliMi) and Damian A. Tamburri (PoliMi), Pooyan Jamshidi (Imperial), Andrea Nodari (Imperial)
Publié dans: The 13th Working IEEE/IFIP Conference on Software Architecture (WICSA), Numéro 5-8 April 2016, 2016
Éditeur: IEEE

Towards a model-driven design tool for big data architectures

Auteurs: Michele Guerriero, Saeed Tajfar, Damian A. Tamburri, Elisabetta Di Nitto
Publié dans: Proceedings of the 2nd International Workshop on BIG Data Software Engineering - BIGDSE '16, 2016, Page(s) 37-43, ISBN 9781-450341523
Éditeur: ACM Press
DOI: 10.1145/2896825.2896835

Providing big data applications with fault-tolerant data migration across heterogeneous NoSQL databases

Auteurs: Marco Scavuzzo, Damian A. Tamburri, Elisabetta Di Nitto
Publié dans: Proceedings of the 2nd International Workshop on BIG Data Software Engineering - BIGDSE '16, 2016, Page(s) 26-32, ISBN 9781-450341523
Éditeur: ACM Press
DOI: 10.1145/2896825.2896831

Efficient Large-Scale Trace Checking Using MapReduce

Auteurs: Marcello M. Bersani (Polimi), Domenico Bianculli, Carlo Ghezzi (Polimi), Srdjan Krstic (Polimi), Pierluigi San Pietro (Polimi)
Publié dans: The 38th International Conference on Software Engineering (ICSE), Numéro May 24-26, 2016, 2016
Éditeur: IEEE/ACM

Support Services for Applications Execution in Multi-Clouds Environments

Auteurs: Daniel Pop (UVT), Gabriel Iuhasz (UVT), Ciprian Craciun (IEAT), Silviu Panica (IEAT)
Publié dans: Proc. of the Workshop on Self Organizing Self Managing Clouds, collocated with IEEE International Conference on Autonomic Computing, Numéro 19/07/2016, 2016, Page(s) 4
Éditeur: IEEE

An Uncertainty-Aware Approach to Optimal Configuration of. Stream Processing Systems

Auteurs: P. Jamshidi, G. Casale.
Publié dans: IEEE MASCOTS 2016, 2016
Éditeur: IEEE

Model-driven Application Refactoring to Minimize Deployment Costs in Preemptible Cloud Resources

Auteurs: Daniel Dubois (IMP), Catia Trubiani (GSSI), Giuliano Casale (IMP)
Publié dans: IEEE CLOUD 2016, Numéro June 27 - July 2 2016, 2016, Page(s) 8
Éditeur: IEEE

A tool for verification of big-data applications

Auteurs: Marcello M. Bersani, Francesco Marconi, Matteo Rossi, Madalina Erascu
Publié dans: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, Numéro July 2016, 2016, Page(s) 44-45, ISBN 9781-450344111
Éditeur: ACM Press
DOI: 10.1145/2945408.2945419

Towards the formal verification of data-intensive applications through metric temporal logic

Auteurs: Francesco Marconi (PMI), Marcello Maria Bersani (PMI), Madalina Erascu (IeAT), Matteo G. Rossi (PMI)
Publié dans: 18th International Conference on Formal Engineering Methods (ICFEM), Numéro 14-18 November 2016, 2016, Page(s) 16
Éditeur: Springer LNCS
DOI: 10.1007/978-3-319-47846-3_13

A systematic approach for performance evaluation using process mining: the POSIDONIA operations case study

Auteurs: Simona Bernardi, José Ignacio Requeno, Christophe Joubert, Alberto Romeu
Publié dans: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, Numéro July 2016, 2016, Page(s) 24-29, ISBN 9781-450344111
Éditeur: ACM Press
DOI: 10.1145/2945408.2945413

Towards a UML profile for data intensive applications

Auteurs: Abel Gómez, José Merseguer, Elisabetta Di Nitto, Damian A. Tamburri
Publié dans: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, Numéro July 2016, 2016, Page(s) 18-23, ISBN 9781-450344111
Éditeur: ACM Press
DOI: 10.1145/2945408.2945412

A Model Driven Approach for Assessing Survivability Requirements of Critical Infrastructures

Auteurs: U. Gentile, S. Bernardi (ZAR), S. Marrone, J. Merseguer (ZAR), V. Vittorini
Publié dans: International Conference on Data Compression, Communication, Processing and Security (CCPS2016), Numéro 22-23 September, 2016, 2016, Page(s) 6
Éditeur: ACM

A Tool for Assessing Performance Requirements of Data-Intensive Applications

Auteurs: A. Gómez-Llana (ZAR), C. Joubert (PRO), J. Merseguer (ZAR)
Publié dans: XXIV Jornadas de Concurrencia y Sistemas Distribuidos (JCSD 2016), Numéro 15/06/2016, 2016, Page(s) 159-169
Éditeur: Miguel J. Hornos Barranco

Modeling Performance of Hadoop Applications: A Journey from Queueing Networks to Stochastic Well Formed Nets

Auteurs: Danilo Ardagna (PMI), Simona Bernardi (ZAR), Eugenio Gianniti (PMI), Soroush Karimian Aliabadi, Diego Perez-Palacin (PMI), and José Ignacio Requeno (ZAR)
Publié dans: ICA3PP: 16th International Conference on Algorithms and Architectures for Parallel Processing, 2016
Éditeur: Springer LNCS
DOI: 10.5281/zenodo.58847

D-SPACE4Cloud: A Design Tool for Big Data Applications

Auteurs: Michele Ciavotta, Eugenio Gianniti, Danilo Ardagna (PMI)
Publié dans: ICA3PP: 16th International Conference on Algorithms and Architectures for Parallel Processing, Numéro 14-16/12/2016, 2016
Éditeur: Springer LNCS

Efficient Memory Occupancy Models for In-memory Databases

Auteurs: Karsten Molka, Giuliano Casale
Publié dans: 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 2016, Page(s) 430-432, ISBN 978-1-5090-3432-1
Éditeur: IEEE
DOI: 10.1109/MASCOTS.2016.56

A Queueing Network Model for Performance Prediction of Apache Cassandra

Auteurs: S. Dipietro, G. Casale, G. Serazzi
Publié dans: ICST VALUETOOLS, 2016
Éditeur: IEEE
DOI: 10.5281/zenodo.153836

Performance Prediction for Burstable Clouds resources

Auteurs: D. Dubois, G. Casale
Publié dans: ICST VALUETOOLS, 2016
Éditeur: IEEE
DOI: 10.5281/zenodo.49068.

Efficient Resource Management in the Cloud

Auteurs: Luciano Baresi, Sam Guinea, Giovanni Quattrocchi, and Damian A. Tamburri (PMI)
Publié dans: IEEE SmartCloud, Numéro 18-20/11/2016, 2016
Éditeur: IEEE

Quality-Aware Development of Big Data Applications with DICE

Auteurs: Giuliano Casale, Elisabetta Di Nitto, Pooyan Jamshidi, Damian A. Tamburri
Publié dans: Proceedings of The 5th European Conference on Service-Oriented and Cloud Computing, 5-7 September, Vienna (AU), 2016, Page(s) 5-7/09/2016
Éditeur: Springer LNCS

DICE fault injection tool

Auteurs: Craig Sheridan, Darren Whigham, Matej Artač
Publié dans: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, 2016, Page(s) 36-37, ISBN 9781-450344111
Éditeur: ACM Press
DOI: 10.1145/2945408.2945415

Formal Verification of Storm Topologies through D-VerT

Auteurs: Francesco Marconi (PMI), Marcello M. Bersani (PMI), Matteo G. Rossi (PMI)
Publié dans: Proceedings of the Symposium on Applied Computing (SAC) 2017, Numéro 3-7 April 2017, 2017, Page(s) 7
Éditeur: ACM

Accelerating Performance Inference over Closed Systems by Asymptotic Methods

Auteurs: Giuliano Casale
Publié dans: Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems - SIGMETRICS '17 Abstracts, Numéro Jun 17, 2017, Page(s) 64-64, ISBN 9781-450350327
Éditeur: ACM Press
DOI: 10.1145/3078505.3078514

DevOps: Introducing Infrastructure-as-Code

Auteurs: Matej Artač, Tadej Borovšak, Elisabetta Di Nitto, Michele Guerriero, Damian Andrew Tamburri
Publié dans: ICSE 2017, Numéro May 20-28 2017, 2017, Page(s) 2
Éditeur: IEEE

Combining Quantitative and Qualitative Studies in Empirical Software Engineering Research

Auteurs: Massimiliano Di Penta, Damian Andrew Tamburri
Publié dans: ICSE 2017, Numéro May 20-28 2017, 2017
Éditeur: IEEE

Generalized Synchronizations and Capacity Constraints for Java Modelling Tools (Demonstration Paper)

Auteurs: Giuliano Casale, Mattia Cazzoli, Shuai Jiang, Vitor Lopes, Giuseppe Serazzi and Lulai Zhu
Publié dans: ICPE 2017, Numéro April 17, 2017, Page(s) 2
Éditeur: ACM

Towards Omnia: a Monitoring Factory for Quality-Aware DevOps

Auteurs: Marco Miglierina (PMI), Damian A. Tamburri (PMI)
Publié dans: Proceedings of the 3rd Workshop on Quality Aware DevOps (QUDOS), Numéro 27-04-2017, 2017
Éditeur: ACM

DevOps Performance Engineering: A Quasi-Ethnographical Study

Auteurs: Giuseppe Vergori (PMI), Damian A. Tamburri (PMI), Raffaela Mirandola (PMI), Diego Perez-Palacin (ZAR)
Publié dans: Proceedings of the 3rd Workshop on Quality Aware DevOps (QUDOS), Numéro 27-04-2017, 2017
Éditeur: ACM

Quality Assessment in DevOps - Automated Analysis of a Tax Fraud Detection System

Auteurs: Diego Perez-Palacin, Youssef Ridene, José Merseguer
Publié dans: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion - ICPE '17 Companion, Numéro 27-04-2017, 2017, Page(s) 133-138, ISBN 9781-450348997
Éditeur: ACM Press
DOI: 10.1145/3053600.3053632

Towards DevOps for Privacy-by-Design in Data-Intensive Applications - A Research Roadmap

Auteurs: Michele Guerriero, Damian A. Tamburri, Youssef Ridene, Francesco Marconi, Marcello M. Bersani, Matej Artac
Publié dans: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion - ICPE '17 Companion, Numéro 27-04-2017, 2017, Page(s) 139-144, ISBN 9781-450348997
Éditeur: ACM Press
DOI: 10.1145/3053600.3053631

Performance Analysis of Apache Storm Applications using Stochastic Petri Nets

Auteurs: José-Ignacio Requeno (ZAR), José Merseguer (ZAR), Simona Bernardi (ZAR)
Publié dans: Proceedings of the 5th IEEE International Workshop on Formal Methods Integration (FMi), Numéro 04-08-2017, 2017
Éditeur: IEEE

Model-driven Engineering IDE for Quality Assessment of Data-intensive Applications

Auteurs: Marc Gil, Christophe Joubert, Ismael Torres
Publié dans: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion - ICPE '17 Companion, 2017, Page(s) 173-174, ISBN 9781-450348997
Éditeur: ACM Press
DOI: 10.1145/3053600.3053633

Towards a Systematic Model-driven Approach for the Detection of Web Threats and Use Cases

Auteurs: Simona Bernardi (ZAR), Raúl Piracés Alastuey (ZAR), Alejandro Solanas Bonilla (ZAR), Raquel Trillo-Lado (ZAR)
Publié dans: Proceedings of the International Workshop on Petri Nets and Software Engineering (PNSE'17), Numéro 26/06/17, 2017, Page(s) 229-230
Éditeur: CEUR-WS.org

Using Process Mining and Model-Driven Engineering to Enhance Security of Web Information Systems

Auteurs: Simona Bernardi, Raul Piraces Alastuey, Raquel Trillo-Lado
Publié dans: 2017 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), Numéro 26-28/04/2017, 2017, Page(s) 160-166, ISBN 978-1-5386-2244-5
Éditeur: IEEE
DOI: 10.1109/EuroSPW.2017.66

Formal verification of data-intensive applications through model checking modulo theories

Auteurs: Marcello M. Bersani, Francesco Marconi, Matteo Rossi, Madalina Erascu, Silvio Ghilardi
Publié dans: Proceedings of the 24th ACM SIGSOFT International SPIN Symposium on Model Checking of Software - SPIN 2017, 2017, Page(s) 98-101, ISBN 9781-450350778
Éditeur: ACM Press
DOI: 10.1145/3092282.3092300

Book chapters (1)

Distributed Platforms and Cloud Services Enabling Machine Learning for Big Data. An Overview

Auteurs: Daniel Pop (IEAT), Gabriel Iuhasz (IEAT), Dana Petcu (IEAT)
Publié dans: Data Science and Big Data Computing: Frameworks and Methodologies, Numéro 2016, 2016, Page(s) tbc
Éditeur: Springer Verlag

Thesis and dissertations (15)

Towards a Software Architecture Framework for Model-Driven Big-Data Applications

Auteurs: Mersedeh Sadeghi
Publié dans: Politecnico di Milano Master Thesis, Numéro 18/09/2015, 2015
Éditeur: PMI

A Software Architecture Framework for Model-Driven Big-Data Applications

Auteurs: Saeed Tajfar
Publié dans: Politecnico di Milano Master Thesis, Numéro 21/12/2015, 2015
Éditeur: PMI

A design-time optimization framework for shared Hadoop Clusters

Auteurs: Liliane Tueguem
Publié dans: Politecnico di Milano Master Thesis, Numéro 21/12/2015, 2015
Éditeur: PMI

HyperSpark: A Framework for Parallel and Distributed Execution of Optimisation Algorithms over Spark

Auteurs: Nemanja Stolic
Publié dans: Politecnico di Milano Master Thesis, Numéro 27/04/2016, 2016
Éditeur: Politecnico di Milano

ParadisEO vs HyperSpark:Analysis and benchmarking of two frameworks for distributed metaheuristics

Auteurs: Camilo Andres Martinez sarmiento
Publié dans: Politecnico di Milano Master Thesis, Numéro 27/04/2016, 2016
Éditeur: Politecnico di Milano

Process Mining to improve Security in Web Information Systems

Auteurs: Student: Raúl Piracés Alastuey (University of Zaragoza) Advisors: Simona Bernardi (University of Zaragoza) and Raquel Trillo Lado (University of Zaragoza)
Publié dans: Master Thesis, 2016
Éditeur: University of Zaragoza

A Design-time Optimization Framework for Private Cloud Big Data Systems

Auteurs: Jacopo Rigoli
Publié dans: Politecnico di Milano Master Thesis, Numéro 27/04/2016, 2016
Éditeur: Politecnico di Milano

Combining Petri Nets and Queueing Network Models.

Auteurs: Zhu, Lulai.
Publié dans: 2016
Éditeur: Imperial College

Learning Software Performance Changes in Agile Development

Auteurs: Carruthers, Lottie
Publié dans: 2016
Éditeur: Imperial College

A DevOps Canary Testbed for Big Data Application Testing.

Auteurs: Zhai, Yifan.
Publié dans: 2016
Éditeur: Imperial College

A Tool Suite to Automate Hadoop Configuration: An Extension for BO4CO.

Auteurs: Chen, Xidi.
Publié dans: 2016
Éditeur: Imperial College

The Extension of Scheduling Management Algorithms into Java Modelling Tools.

Auteurs: Phuangjaisri, Phumin
Publié dans: 2016
Éditeur: Imperial College

Java Modelling Tools Extension

Auteurs: Jiang Shuai
Publié dans: 2015
Éditeur: Imperial College

Performance evaluation of data-intensive applications with Apache Tez

Auteurs: Student: Iñigo Gascón Royo (University of Zaragoza) Advisors: José Ignacio Requeno (University of Zaragoza) and José Merseguer (University of Zaragoza)
Publié dans: 2017
Éditeur: University of Zaragoza

Performance evaluation of data-intensive applications with Apache Spark

Auteurs: Student: Andrés Malo Ascaso (University of Zaragoza) Advisors: José Ignacio Requeno (University of Zaragoza) and José Merseguer (University of Zaragoza)
Publié dans: 2017
Éditeur: University of Zaragoza

Monographic books (1)

Data Science and Big Data Computing

Auteurs: Zaigham Mahmood
Publié dans: Data Science and Big Data Computing: Frameworks and MethodologDistributed Platforms and Cloud Services Enabling Machine Learning for Big Data. An Overviewies;, 2016, ISBN 978-3-319-31861-5
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-31861-5

Other (3)

Quality analysis and verification of data-intensive applications

Auteurs: Francesco Marconi (PMI)
Publié dans: Proceedings of the Doctoral Symposium of Formal Methods 2016, Numéro 2/5/2016, 2016, ISSN 1613-0073
Éditeur: CEUR-WS

Minería de procesos para la mejora de la seguridad de sistemas de información Web

Auteurs: Raúl Piracés Alastuey, Simona Bernardi and Raquel Trillo Lado
Publié dans: Proceedings of the IV National Conference of Research and Development in Defence and Security (IV Congreso Nacional de I+D en defensa y seguridad (DESEi+d), 2016
Éditeur: Centro Universitario de la Defensa de San Javier, 2016.

Acto de celebración del 15 aniversario del I3A (XV Anniversary of the Aragón Institute for Engineering Research (I3A) )

Auteurs: José Merseguer (ZAR)
Publié dans: Numéro September 14th 2017. (From 9:00 to 14:00), 2017
Éditeur: Zaragoza, Spain