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Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements
EC | H2020 | RIA
Contract (GA) number
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Data Pilot
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Detailed project information (CORDIS)


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

    Bernardi, Simona; Dranca, Lacramioara; Merseguer, José (2016)
    Projects: EC | DICE (644869)

    Efficient Memory Occupancy Models for In-memory Databases

    Molka, Karsten; Casale, Giuliano (2016)
    Projects: EC | DICE (644869)

    Support Services for Applications Execution in Multi-clouds Environments

    Pop, Daniel; Iuhasz, Gabriel; Craciun, Ciprian; Panica, Silviu (2016)
    Projects: EC | DICE (644869)

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

    Ustinova, Tatiana; Jamshidi, Pooyan (2015)
    Projects: EC | DICE (644869)
    Queueing network models are commonly used for performance modelling. However, through application development stage analytical models might not be able to continuously reflect performance, for example due to performance bugs or minor changes in the application code that cannot be readily reflected in the queueing model. To cope with this problem, a measurement-based approach adopting Design of Experiments (DoE) technique is proposed. The applicability of the proposed method is demonstrated on...

    D-SPACE4Cloud: A Design Tool for Big Data Applications

    Ciavotta, Michele; Gianniti, Eugenio; Ardagna, Danilo (2016)
    Projects: EC | DICE (644869)
    The last years have seen a steep rise in data generation worldwide, with the development and widespread adoption of several software projects targeting the Big Data paradigm. Many companies currently engage in Big Data analytics as part of their core business activities, nonetheless there are no tools and techniques to support the design of the underlying hardware configuration backing such systems. In particular, the focus in this report is set on Cloud deployed clusters, which represent a c...

    Towards a UML profile for data intensive applications

    Gómez, Abel; Merseguer, José; Di Nitto, Elisabetta; Tamburri, Damian A. (2016)
    Projects: EC | DICE (644869)

    Continuous Architecting of Stream-Based Systems

    Bersani, Marcello M.; Marconi, Francesco; Tamburri, Damian A.; Jamshidi, Pooyan; Nodari, Andrea (2016)
    Projects: EC | DICE (644869)

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

    Dubois, Daniel J.; Trubiani, Catia; Casale, Giuliano (2016)
    Projects: EC | DICE (644869)
    Performance assessment of cloud-based applications requires new methodologies to deal with the complexity of software systems and the variability of cloud resources. In this paper, we address the problem of reducing the total costs for running cloud-based applications while fulfilling servicelevel objectives (SLOs). To this end, we define an approach to refactor a cloud application in such a way that, when it is deployed, it requires less computational capacity and therefore less resources. W...
  • A Queueing Network Model For Performance Prediction Of Apache Cassandra

    Dipietro Salvatore; Casale Giuliano; Serazzi Giuseppe (2016)
    Publisher: Zenodo
    Projects: EC | DICE (644869)
    The dataset consists in several csv files containing Cassandra and ScyllaDB performance. The experiments are organized in folders. There are three main folders containing:  - Cassandra 4 nodes: the files related to the Cassandra experiments conducted on a cluster composed of four nodes.  - ScyllaDB 4 nodes: The files related to the ScyllaDB experiments conducted on a cluster composed of four nodes.   - Cassandra QUORUM variant: the simulation data where a different kind of QUORUM...

    Accurate Modeling And Efficient Qos Analysis Of Scalable Adaptive Systems Under Bursty Workload

    Perez-Palacin, Diego; Mirandola, Raffaela; Merseguer, José (2017)
    Publisher: Zenodo
    Projects: EC | DICE (644869)
    The datasets include the traces used for the research and experiments on modelling and analyzing systems that execute under bursty workload: numReq10secondsfrom360000to660000-Paris contains a summary of the requests traces published in http://ita.ee.lbl.gov/html/contrib/WorldCup.html , by grouping into a single count the number of requests that servers in Paris region received every 10 seconds . mawi10seconds contains a summary of the traces published in&...

    Dice Geofencing Dataset

    Ismael Torres; Christophe Joubert (2018)
    Publisher: Zenodo
    Projects: EC | DICE (644869)
    This folder contains the data used to validate the DICE simulation tool in the Posidonia Operations demonstrator on geofencing carried out in the DICE Project (dice.h2020.eu).  

    Dice H2020 Deliverable D3.9 — Final Version

    Gianniti, Eugenio; Ardagna, Danilo; Rigoli, Jacopo; Kalwar, Safia (2017)
    Publisher: Zenodo
    Projects: EC | DICE (644869)
    The data hereby published supports the results of the European research project DICE H2020 deliverable D3.9, which can be downloaded at http://www.dice-h2020.eu/deliverables/. When referring to the data, please cite the above mentioned deliverable.

    An Uncertainty-Aware Approach To Optimal Configuration Of Stream Processing Systems

    Jamshidi, Pooyan; Casale, Giuliano (2016)
    Publisher: Zenodo
    Projects: EC | DICE (644869)
    The datasets in this release support the results presented in the paper P. Jamshidi, G. Casale, "An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing Systems", accepted for presentation at MASCOTS 2016. An open access to the paper is available at https://arxiv.org/abs/1606.06543 Also open source code is available at https://github.com/dice-project/DICE-Configuration-BO4CO The archive contains 10 comma separated datasets representing perfo...

    On The Timed Analysis Of Big-Data Applications - Experimental Data

    Francesco Marconi; Giovanni Quattrocchi; Luciano Baresi; Marcello M. Bersani; Matteo Rossi (2018)
    Publisher: Zenodo
    Projects: EC | DICE (644869)
    This archive includes experimental data associated to the paper: On the Timed Analysis of Big-Data Applications. Accepted in Proceedings of Nasa Formal Methods (NFM 2018).  Marconi, F., Quattrocchi, G., Baresi, L., Bersani, M.M., Rossi, M.. 2018 Specifically, it includes detailed data regarding the verification tasks reported in Section 4 (Implementation and Validation of the Model). In reference to Table 1 of the paper, the archive is organized in the following way: t...

    Formal Verification Of Storm Topologies Through D-Vert

    Francesco Marconi; Marcello Maria Bersani; Matteo Rossi (2017)
    Publisher: Zenodo
    Projects: EC | DICE (644869)
    This archive includes the research data associated to the paper: Formal verification of storm topologies through D-VerT. In Proceedings of the Symposium on Applied Computing (SAC '17). Francesco Marconi, Marcello M. Bersani, and Matteo Rossi. 2017. ACM, New York, NY, USA, 1168-1174. DOI: https://doi.org/10.1145/3019612.3019769 Specifically it includes the UML models shown in the paper (Figures 7 and 8), the corresponding instances of the Temporal logic models automaticall...

    Pax: Partition-Aware Autoscaling For The Cassandra Nosql Database

    Salvatore Dipietro; Rajkumar Buyya; Giuliano Casale (2018)
    Publisher: Zenodo
    Projects: EC | DICE (644869)
    Apache Cassandra has emerged as one of the most widely adopted NoSQL databases. However, there is still a limited understanding on how to optimally operate Cassandra in the cloud using autoscaling methods, by which resources can be scaled up or down to reduce operational costs and meet service-level objectives (SLOs). To address this limitation, we present PAX, a partition-aware elastic resource management system for Apache Cassandra. PAX uses low-overhead query sampling and knowledge of ...

    Validation Of Atc Newsasset Performance Model

    José Ignacio Requeno Jarabo; José Merseguer; Simona Bernardi; Diego Perez-Palacin; Giorgos Giotis; Vasilis Papanikolaou (2017)
    Publisher: Zenodo
    Projects: EC | DICE (644869)
    This file corresponds to the validation results of the performance model used for studying the NewsAsset application, branded by ATC.

    Accelerating Performance Inference Over Closed Systems By Asymptotic Methods

    Giuliano Casale (2017)
    Publisher: Zenodo
    Projects: EC | DICE (644869)
    This archive includes the research data associated to the paper: Giuliano Casale. Accelerating Performance Inference over Closed Systems by Asymptotic Methods. Proc. ACM Meas. Anal. Comput. Syst., 1(1), 2017. The paper is accepted for presentation at ACM SIGMETRICS 2017. The research data requires MATLAB 2015a or later. Four datasets are included, each corresponding to a section of the paper: - sec5.3.1: Small and medium models without infinite server nodes (Section 5.3.1) - sec...
  • Scientific Results

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    Publications in Repositories

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