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Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements

Risultati finali

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.

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.

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.

Software engineering book

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

Pubblicazioni

On Throughput Approximation of Resource-Allocation Systems by Bottleneck Regrowing

Autori: Ricardo J. Rodriguez, Javier Campos
Pubblicato in: IEEE Transactions on Control Systems Technology, Numero Nov 2017, 2017, Pagina/e 1-8, ISSN 1063-6536
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TCST.2017.2768512

A Systematic Approach for Performance Assessment Using Process Mining

Autori: 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)
Pubblicato in: Empirical Software Engineering, 2018, Pagina/e 1-48, ISSN 1382-3256
Editore: Kluwer Academic Publishers
DOI: 10.5281/zenodo.1010446

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

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

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

Autori: Eugenio Gianniti, Alessandro Maria Rizzi, Enrico Barbierato, Marco Gribaudo, Danilo Ardagna
Pubblicato in: ACM SIGMETRICS Performance Evaluation Review, Numero 44/4, 2017, Pagina/e 23-36, ISSN 0163-5999
Editore: ACM
DOI: 10.1145/3092819.3092824

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

Autori: Karsten Molka, Giuliano Casale
Pubblicato in: ACM Transactions on Modeling and Performance Evaluation of Computing Systems, Numero 2/1, 2016, Pagina/e 1-29, ISSN 2376-3639
Editore: ACM TOMPECS
DOI: 10.1145/2961888

Quantitative Analysis of Apache Storm Applications: The NewsAsset Case Study

Autori: J.I. Requeno (ZAR), J. Merseguer (ZAR), S. Bernardi (ZAR), D. Perez-Palacin (ZAR), G. Giotis (ATC) and V. Papanikolaou (ATC)
Pubblicato in: Information System Frontiers, 2018, Pagina/e 1-20, ISSN 1387-3326
Editore: Kluwer Academic Publishers

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

Autori: Giuliano Casale, Juan F. Pérez, Weikun Wang
Pubblicato in: Performance Evaluation, Numero 91, 2015, Pagina/e 80-98, ISSN 0166-5316
Editore: Elsevier BV
DOI: 10.1016/j.peva.2015.06.006

Evaluating approaches to resource demand estimation

Autori: Simon Spinner, Giuliano Casale, Fabian Brosig, Samuel Kounev
Pubblicato in: Performance Evaluation, Numero 92, 2015, Pagina/e 51-71, ISSN 0166-5316
Editore: Elsevier BV
DOI: 10.1016/j.peva.2015.07.005

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

Autori: Ricardo J. Rodríguez
Pubblicato in: Automated Software Engineering, 2015, ISSN 0928-8910
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10515-015-0186-2

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

Autori: Weikun Wang, Giuliano Casale
Pubblicato in: ACM SIGMETRICS Performance Evaluation Review, Numero 43/2, 2015, Pagina/e 45-47, ISSN 0163-5999
Editore: ACM
DOI: 10.1145/2825236.2825255

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

Autori: S. Bernardi, L. Dranca, J. Merseguer
Pubblicato in: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Numero 230/5, 2016, Pagina/e 485-501, ISSN 1748-006X
Editore: Professional Engineering Publishing Ltd.
DOI: 10.1177/1748006X15626017

Guest Editorial: Automation in Software Performance Engineering

Autori: José Merseguer, Walter Binder, John Murphy
Pubblicato in: Automated Software Engineering, Numero 24/1, 2017, Pagina/e 71-72, ISSN 0928-8910
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10515-016-0201-2

Compact Markov-modulated models for multiclass trace fitting

Autori: Giuliano Casale, Andrea Sansottera, Paolo Cremonesi
Pubblicato in: European Journal of Operational Research, Numero 255/3, 2016, Pagina/e 822-833, ISSN 0377-2217
Editore: Elsevier BV
DOI: 10.1016/j.ejor.2016.06.005

Architecture of a Scalable Platform for Monitoring Multiple Big Data Frameworks

Autori: Gabriel Iuhasz, Daniel Pop, Ioan Dragan
Pubblicato in: Scalable Computing: Practice and Experience, Numero 17/4, 2016, Pagina/e 313-321, ISSN 1895-1767
Editore: universitatea de vest
DOI: 10.12694/scpe.v17i4.1203

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

Autori: E. Gomez-Martinez, R. J. Rodriguez, C. Benac-Earle, L. Etxeberria, M. Illarramendi
Pubblicato in: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Numero Article first published online: September 30, 2016, 2016, Pagina/e 1-21, ISSN 1748-006X
Editore: Professional Engineering Publishing Ltd.
DOI: 10.1177/1748006X16667328

Current and Future Challenges of Software Engineering for Services and Applications

Autori: Giuliano Casale, Cristina Chesta, Peter Deussen, Elisabetta Di Nitto, Panagiotis Gouvas, Sotiris Koussouris, Vlado Stankovski, Andreas Symeonidis, Vlassis Vlassiou, Anastasios Zafeiropoulos, Zhiming Zhao
Pubblicato in: Procedia Computer Science, Numero 97, 2016, Pagina/e 34-42, ISSN 1877-0509
Editore: ScienceDirect Elsevier
DOI: 10.1016/j.procs.2016.08.278

Optimal Map Reduce Job Capacity Allocation in Cloud Systems

Autori: Marzieh Malekimajd, Danilo Ardagna, Michele Ciavotta, Alessandro Maria Rizzi, Mauro Passacantando
Pubblicato in: ACM SIGMETRICS Performance Evaluation Review, Numero 42/4, 2015, Pagina/e 51-61, ISSN 0163-5999
Editore: ACM
DOI: 10.1145/2788402.2788410

A model driven approach for assessing survivability requirements of critical infrastructures

Autori: Ugo Gentile, Simona Bernardi, Stefano Marrone, José Merseguer, Valeria Vittorini
Pubblicato in: Journal of High Speed Networks, Numero 23/2, 2017, Pagina/e 175-186, ISSN 0926-6801
Editore: IOS Press
DOI: 10.3233/JHS-170564

Modeling and Analysis of High Availability Techniques in a Virtualized System

Autori: Xiaolin Chang, Tianju Wang, Ricardo J. Rodríguez, Zhenjiang Zhang
Pubblicato in: The Computer Journal, Numero Jun 2017, 2017, Pagina/e 1-19, ISSN 0010-4620
Editore: Oxford University Press
DOI: 10.1093/comjnl/bxx049

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

Autori: Diego Perez-Palacin, Raffaela Mirandola, José Merseguer
Pubblicato in: Journal of Systems and Software, Numero 130, 2017, Pagina/e 24-41, ISSN 0164-1212
Editore: Elsevier BV
DOI: 10.1016/j.jss.2017.05.022

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

Autori: G. Casale
Pubblicato in: IEEE INFOCOM, Numero Yearly, 2018, Pagina/e 9
Editore: IEEE

PAX: Partition-Aware Autoscaling for the Cassandra NoSQL Database

Autori: Salvatore Dipietro, Rajkumar Buyya, Giuliano Casale
Pubblicato in: IEEE/IFIP NOMS, Numero Yearly, 2018, Pagina/e 9 pages
Editore: IEEE
DOI: 10.5281/zenodo.1136276

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

Autori: """Safia Kalwar (PMI), Eugenio Gianniti (PMI), Joas Yannick Kinouani (NETF), Youssef Ridene (NETF), Danilo Ardagna (PMI) """
Pubblicato in: Valuetools 2017 workshop proceedings, Numero Yearly, 2018, Pagina/e 1-14
Editore: Springer

On the Timed Analysis of Big-Data Applications

Autori: Francesco Marconi (PMI), Giovanni Quattrocchi (PMI),Luciano Baresi (PMI), Marcello M. Bersani (PMI), Matteo Rossi (PMI)
Pubblicato in: NFM 2018 Proceedings, Numero Yearly proceedings, 2018, Pagina/e 15
Editore: Springer
DOI: 10.5281/zenodo.1162853

Towards the Performance Analysis of Apache Tez Applications

Autori: Jose Ignacio Requeno (ZAR), ​Iñigo Gascón (​ZAR), José Merseguer (ZAR)
Pubblicato in: Proceedings of the ​4th​ Workshop on Quality Aware DevOps (QUDOS), Numero yearly, 2018
Editore: ACM

A software architecture framework for quality-aware DevOps

Autori: Elisabetta Di Nitto, Pooyan Jamshidi, Michele Guerriero, Ilias Spais, Damian A. Tamburri
Pubblicato in: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, 2016, Pagina/e 12-17, ISBN 9781-450344111
Editore: ACM Press
DOI: 10.1145/2945408.2945411

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

Autori: 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).
Pubblicato in: MISE 2015 at ICSE 2015, Numero May 16-17 2015, 2015, Pagina/e 6
Editore: IEEE

Towards Quality-Aware Development of Big Data Applications with DICE

Autori: Giuliano Casale (Imperial), Elisabetta di Nitto (Politecnico di Milano), Ilias Spais (ATC)
Pubblicato in: ESOCC, Numero 15-17 September 2015, 2015, Pagina/e 2
Editore: Springer LNCS

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

Autori: Weikun Wang, Juan F. Pérez, Giuliano Casale
Pubblicato in: Proceedings of the 1st International Workshop on Quality-Aware DevOps - QUDOS 2015, 2015, Pagina/e 31-32, ISBN 9781-450338172
Editore: ACM Press
DOI: 10.1145/2804371.2804379

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

Autori: Tatiana Ustinova, Pooyan Jamshidi
Pubblicato in: Proceedings of the 1st International Workshop on Quality-Aware DevOps - QUDOS 2015, 2015, Pagina/e 13-18, ISBN 9781-450338172
Editore: ACM Press
DOI: 10.1145/2804371.2804374

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

Autori: Weikun Wang, Giuliano Casale (Imperial)
Pubblicato in: The Workshop on MAthematical performance Modeling and Analysis (MAMA 2015), Numero 6/15/2015, 2015, Pagina/e 317 - 324
Editore: ACM

SPACE4Cloud: a DevOps environment for multi-cloud applications

Autori: Michele Guerriero, Michele Ciavotta, Giovanni Paolo Gibilisco, Danilo Ardagna
Pubblicato in: Proceedings of the 1st International Workshop on Quality-Aware DevOps - QUDOS 2015, 2015, Pagina/e 29-30, ISBN 9781-450338172
Editore: ACM Press
DOI: 10.1145/2804371.2804378

An Overview of Monitoring Tools for Big Data and Cloud Applications

Autori: Gabriel Iuhasz, Ioan Dragan
Pubblicato in: 2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2015, Pagina/e 363-366, ISBN 978-1-5090-0461-4
Editore: IEEE
DOI: 10.1109/SYNASC.2015.62

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

Autori: Karsten Molka, Giuliano Casale
Pubblicato in: IFIP/IEEE CNSM 2015 Proceedings, Numero 9/11/2015, 2015, Pagina/e in print
Editore: IFIP/IEEE CNSM 2015 Proceedings

Service Quality Assurance in Multi-Clouds

Autori: Dana Petcu
Pubblicato in: GECON 2015 Proceedings, Numero 14 Sept 2015, 2015, Pagina/e in print
Editore: Springer, LNCS

Performance-oriented DevOps: A Research Agenda

Autori: 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.
Pubblicato in: Technical Report SPEC-RG-2015-01, Numero 8/1/2015, 2015
Editore: SPEC Research Group - DevOps Performance Working Group

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

Autori: Weikun Wang, Giuliano Casale, Ajay Kattepur, Manoj Nambiar
Pubblicato in: ACM/SPEC ICPE, Numero 14/03/2016, 2016, Pagina/e 12
Editore: ACM

Automated Parameterization of Performance Models from Measurements

Autori: Giuliano Casale, Simon Spinner, Weikun Wang
Pubblicato in: ACM/SPEC ICPE, Numero 14/03/2016, 2016
Editore: ACM

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

Autori: Luciano Baresi, Mohammad Mehdi Pourhashem Kallehbasti, Matteo Rossi
Pubblicato in: Proceedings of the 31st Annual ACM Symposium on Applied Computing - SAC '16, 2016, Pagina/e 1666-1673, ISBN 9781-450337397
Editore: ACM Press
DOI: 10.1145/2851613.2851833

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

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

Continuous Architecting of Stream-Based Systems

Autori: Marcello M. Bersani (PoliMi), Francesco Marconi (PoliMi) and Damian A. Tamburri (PoliMi), Pooyan Jamshidi (Imperial), Andrea Nodari (Imperial)
Pubblicato in: The 13th Working IEEE/IFIP Conference on Software Architecture (WICSA), Numero 5-8 April 2016, 2016
Editore: IEEE

Towards a model-driven design tool for big data architectures

Autori: Michele Guerriero, Saeed Tajfar, Damian A. Tamburri, Elisabetta Di Nitto
Pubblicato in: Proceedings of the 2nd International Workshop on BIG Data Software Engineering - BIGDSE '16, 2016, Pagina/e 37-43, ISBN 9781-450341523
Editore: ACM Press
DOI: 10.1145/2896825.2896835

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

Autori: Marco Scavuzzo, Damian A. Tamburri, Elisabetta Di Nitto
Pubblicato in: Proceedings of the 2nd International Workshop on BIG Data Software Engineering - BIGDSE '16, 2016, Pagina/e 26-32, ISBN 9781-450341523
Editore: ACM Press
DOI: 10.1145/2896825.2896831

Efficient Large-Scale Trace Checking Using MapReduce

Autori: Marcello M. Bersani (Polimi), Domenico Bianculli, Carlo Ghezzi (Polimi), Srdjan Krstic (Polimi), Pierluigi San Pietro (Polimi)
Pubblicato in: The 38th International Conference on Software Engineering (ICSE), Numero May 24-26, 2016, 2016
Editore: IEEE/ACM

Support Services for Applications Execution in Multi-Clouds Environments

Autori: Daniel Pop (UVT), Gabriel Iuhasz (UVT), Ciprian Craciun (IEAT), Silviu Panica (IEAT)
Pubblicato in: Proc. of the Workshop on Self Organizing Self Managing Clouds, collocated with IEEE International Conference on Autonomic Computing, Numero 19/07/2016, 2016, Pagina/e 4
Editore: IEEE

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

Autori: P. Jamshidi, G. Casale.
Pubblicato in: IEEE MASCOTS 2016, 2016
Editore: IEEE

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

Autori: Daniel Dubois (IMP), Catia Trubiani (GSSI), Giuliano Casale (IMP)
Pubblicato in: IEEE CLOUD 2016, Numero June 27 - July 2 2016, 2016, Pagina/e 8
Editore: IEEE

A tool for verification of big-data applications

Autori: Marcello M. Bersani, Francesco Marconi, Matteo Rossi, Madalina Erascu
Pubblicato in: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, Numero July 2016, 2016, Pagina/e 44-45, ISBN 9781-450344111
Editore: ACM Press
DOI: 10.1145/2945408.2945419

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

Autori: Francesco Marconi (PMI), Marcello Maria Bersani (PMI), Madalina Erascu (IeAT), Matteo G. Rossi (PMI)
Pubblicato in: 18th International Conference on Formal Engineering Methods (ICFEM), Numero 14-18 November 2016, 2016, Pagina/e 16
Editore: 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

Autori: Simona Bernardi, José Ignacio Requeno, Christophe Joubert, Alberto Romeu
Pubblicato in: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, Numero July 2016, 2016, Pagina/e 24-29, ISBN 9781-450344111
Editore: ACM Press
DOI: 10.1145/2945408.2945413

Towards a UML profile for data intensive applications

Autori: Abel Gómez, José Merseguer, Elisabetta Di Nitto, Damian A. Tamburri
Pubblicato in: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, Numero July 2016, 2016, Pagina/e 18-23, ISBN 9781-450344111
Editore: ACM Press
DOI: 10.1145/2945408.2945412

A Model Driven Approach for Assessing Survivability Requirements of Critical Infrastructures

Autori: U. Gentile, S. Bernardi (ZAR), S. Marrone, J. Merseguer (ZAR), V. Vittorini
Pubblicato in: International Conference on Data Compression, Communication, Processing and Security (CCPS2016), Numero 22-23 September, 2016, 2016, Pagina/e 6
Editore: ACM

A Tool for Assessing Performance Requirements of Data-Intensive Applications

Autori: A. Gómez-Llana (ZAR), C. Joubert (PRO), J. Merseguer (ZAR)
Pubblicato in: XXIV Jornadas de Concurrencia y Sistemas Distribuidos (JCSD 2016), Numero 15/06/2016, 2016, Pagina/e 159-169
Editore: Miguel J. Hornos Barranco

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

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

D-SPACE4Cloud: A Design Tool for Big Data Applications

Autori: Michele Ciavotta, Eugenio Gianniti, Danilo Ardagna (PMI)
Pubblicato in: ICA3PP: 16th International Conference on Algorithms and Architectures for Parallel Processing, Numero 14-16/12/2016, 2016
Editore: Springer LNCS

Efficient Memory Occupancy Models for In-memory Databases

Autori: Karsten Molka, Giuliano Casale
Pubblicato in: 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 2016, Pagina/e 430-432, ISBN 978-1-5090-3432-1
Editore: IEEE
DOI: 10.1109/MASCOTS.2016.56

A Queueing Network Model for Performance Prediction of Apache Cassandra

Autori: S. Dipietro, G. Casale, G. Serazzi
Pubblicato in: ICST VALUETOOLS, 2016
Editore: IEEE
DOI: 10.5281/zenodo.153836

Performance Prediction for Burstable Clouds resources

Autori: D. Dubois, G. Casale
Pubblicato in: ICST VALUETOOLS, 2016
Editore: IEEE
DOI: 10.5281/zenodo.49068.

Efficient Resource Management in the Cloud

Autori: Luciano Baresi, Sam Guinea, Giovanni Quattrocchi, and Damian A. Tamburri (PMI)
Pubblicato in: IEEE SmartCloud, Numero 18-20/11/2016, 2016
Editore: IEEE

Quality-Aware Development of Big Data Applications with DICE

Autori: Giuliano Casale, Elisabetta Di Nitto, Pooyan Jamshidi, Damian A. Tamburri
Pubblicato in: Proceedings of The 5th European Conference on Service-Oriented and Cloud Computing, 5-7 September, Vienna (AU), 2016, Pagina/e 5-7/09/2016
Editore: Springer LNCS

DICE fault injection tool

Autori: Craig Sheridan, Darren Whigham, Matej Artač
Pubblicato in: Proceedings of the 2nd International Workshop on Quality-Aware DevOps - QUDOS 2016, 2016, Pagina/e 36-37, ISBN 9781-450344111
Editore: ACM Press
DOI: 10.1145/2945408.2945415

Formal Verification of Storm Topologies through D-VerT

Autori: Francesco Marconi (PMI), Marcello M. Bersani (PMI), Matteo G. Rossi (PMI)
Pubblicato in: Proceedings of the Symposium on Applied Computing (SAC) 2017, Numero 3-7 April 2017, 2017, Pagina/e 7
Editore: ACM

Accelerating Performance Inference over Closed Systems by Asymptotic Methods

Autori: Giuliano Casale
Pubblicato in: Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems - SIGMETRICS '17 Abstracts, Numero Jun 17, 2017, Pagina/e 64-64, ISBN 9781-450350327
Editore: ACM Press
DOI: 10.1145/3078505.3078514

DevOps: Introducing Infrastructure-as-Code

Autori: Matej Artač, Tadej Borovšak, Elisabetta Di Nitto, Michele Guerriero, Damian Andrew Tamburri
Pubblicato in: ICSE 2017, Numero May 20-28 2017, 2017, Pagina/e 2
Editore: IEEE

Combining Quantitative and Qualitative Studies in Empirical Software Engineering Research

Autori: Massimiliano Di Penta, Damian Andrew Tamburri
Pubblicato in: ICSE 2017, Numero May 20-28 2017, 2017
Editore: IEEE

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

Autori: Giuliano Casale, Mattia Cazzoli, Shuai Jiang, Vitor Lopes, Giuseppe Serazzi and Lulai Zhu
Pubblicato in: ICPE 2017, Numero April 17, 2017, Pagina/e 2
Editore: ACM

Towards Omnia: a Monitoring Factory for Quality-Aware DevOps

Autori: Marco Miglierina (PMI), Damian A. Tamburri (PMI)
Pubblicato in: Proceedings of the 3rd Workshop on Quality Aware DevOps (QUDOS), Numero 27-04-2017, 2017
Editore: ACM

DevOps Performance Engineering: A Quasi-Ethnographical Study

Autori: Giuseppe Vergori (PMI), Damian A. Tamburri (PMI), Raffaela Mirandola (PMI), Diego Perez-Palacin (ZAR)
Pubblicato in: Proceedings of the 3rd Workshop on Quality Aware DevOps (QUDOS), Numero 27-04-2017, 2017
Editore: ACM

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

Autori: Diego Perez-Palacin, Youssef Ridene, José Merseguer
Pubblicato in: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion - ICPE '17 Companion, Numero 27-04-2017, 2017, Pagina/e 133-138, ISBN 9781-450348997
Editore: ACM Press
DOI: 10.1145/3053600.3053632

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

Autori: Michele Guerriero, Damian A. Tamburri, Youssef Ridene, Francesco Marconi, Marcello M. Bersani, Matej Artac
Pubblicato in: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion - ICPE '17 Companion, Numero 27-04-2017, 2017, Pagina/e 139-144, ISBN 9781-450348997
Editore: ACM Press
DOI: 10.1145/3053600.3053631

Performance Analysis of Apache Storm Applications using Stochastic Petri Nets

Autori: José-Ignacio Requeno (ZAR), José Merseguer (ZAR), Simona Bernardi (ZAR)
Pubblicato in: Proceedings of the 5th IEEE International Workshop on Formal Methods Integration (FMi), Numero 04-08-2017, 2017
Editore: IEEE

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

Autori: Marc Gil, Christophe Joubert, Ismael Torres
Pubblicato in: Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion - ICPE '17 Companion, 2017, Pagina/e 173-174, ISBN 9781-450348997
Editore: ACM Press
DOI: 10.1145/3053600.3053633

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

Autori: Simona Bernardi (ZAR), Raúl Piracés Alastuey (ZAR), Alejandro Solanas Bonilla (ZAR), Raquel Trillo-Lado (ZAR)
Pubblicato in: Proceedings of the International Workshop on Petri Nets and Software Engineering (PNSE'17), Numero 26/06/17, 2017, Pagina/e 229-230
Editore: CEUR-WS.org

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

Autori: Simona Bernardi, Raul Piraces Alastuey, Raquel Trillo-Lado
Pubblicato in: 2017 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), Numero 26-28/04/2017, 2017, Pagina/e 160-166, ISBN 978-1-5386-2244-5
Editore: IEEE
DOI: 10.1109/EuroSPW.2017.66

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

Autori: Marcello M. Bersani, Francesco Marconi, Matteo Rossi, Madalina Erascu, Silvio Ghilardi
Pubblicato in: Proceedings of the 24th ACM SIGSOFT International SPIN Symposium on Model Checking of Software - SPIN 2017, 2017, Pagina/e 98-101, ISBN 9781-450350778
Editore: ACM Press
DOI: 10.1145/3092282.3092300

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

Autori: Daniel Pop (IEAT), Gabriel Iuhasz (IEAT), Dana Petcu (IEAT)
Pubblicato in: Data Science and Big Data Computing: Frameworks and Methodologies, Numero 2016, 2016, Pagina/e tbc
Editore: Springer Verlag

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

Autori: Mersedeh Sadeghi
Pubblicato in: Politecnico di Milano Master Thesis, Numero 18/09/2015, 2015
Editore: PMI

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

Autori: Saeed Tajfar
Pubblicato in: Politecnico di Milano Master Thesis, Numero 21/12/2015, 2015
Editore: PMI

A design-time optimization framework for shared Hadoop Clusters

Autori: Liliane Tueguem
Pubblicato in: Politecnico di Milano Master Thesis, Numero 21/12/2015, 2015
Editore: PMI

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

Autori: Nemanja Stolic
Pubblicato in: Politecnico di Milano Master Thesis, Numero 27/04/2016, 2016
Editore: Politecnico di Milano

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

Autori: Camilo Andres Martinez sarmiento
Pubblicato in: Politecnico di Milano Master Thesis, Numero 27/04/2016, 2016
Editore: Politecnico di Milano

Process Mining to improve Security in Web Information Systems

Autori: Student: Raúl Piracés Alastuey (University of Zaragoza) Advisors: Simona Bernardi (University of Zaragoza) and Raquel Trillo Lado (University of Zaragoza)
Pubblicato in: Master Thesis, 2016
Editore: University of Zaragoza

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

Autori: Jacopo Rigoli
Pubblicato in: Politecnico di Milano Master Thesis, Numero 27/04/2016, 2016
Editore: Politecnico di Milano

Combining Petri Nets and Queueing Network Models.

Autori: Zhu, Lulai.
Pubblicato in: 2016
Editore: Imperial College

Learning Software Performance Changes in Agile Development

Autori: Carruthers, Lottie
Pubblicato in: 2016
Editore: Imperial College

A DevOps Canary Testbed for Big Data Application Testing.

Autori: Zhai, Yifan.
Pubblicato in: 2016
Editore: Imperial College

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

Autori: Chen, Xidi.
Pubblicato in: 2016
Editore: Imperial College

The Extension of Scheduling Management Algorithms into Java Modelling Tools.

Autori: Phuangjaisri, Phumin
Pubblicato in: 2016
Editore: Imperial College

Java Modelling Tools Extension

Autori: Jiang Shuai
Pubblicato in: 2015
Editore: Imperial College

Performance evaluation of data-intensive applications with Apache Tez

Autori: Student: Iñigo Gascón Royo (University of Zaragoza) Advisors: José Ignacio Requeno (University of Zaragoza) and José Merseguer (University of Zaragoza)
Pubblicato in: 2017
Editore: University of Zaragoza

Performance evaluation of data-intensive applications with Apache Spark

Autori: Student: Andrés Malo Ascaso (University of Zaragoza) Advisors: José Ignacio Requeno (University of Zaragoza) and José Merseguer (University of Zaragoza)
Pubblicato in: 2017
Editore: University of Zaragoza

Data Science and Big Data Computing

Autori: Zaigham Mahmood
Pubblicato in: 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
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-31861-5

Quality analysis and verification of data-intensive applications

Autori: Francesco Marconi (PMI)
Pubblicato in: Proceedings of the Doctoral Symposium of Formal Methods 2016, Numero 2/5/2016, 2016, ISSN 1613-0073
Editore: CEUR-WS

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

Autori: Raúl Piracés Alastuey, Simona Bernardi and Raquel Trillo Lado
Pubblicato in: 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
Editore: 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) )

Autori: José Merseguer (ZAR)
Pubblicato in: Numero September 14th 2017. (From 9:00 to 14:00), 2017
Editore: Zaragoza, Spain

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