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Publications

  • Springer Book: Deployment and Operation of Complex Software in Heterogeneous Execution Environments - The SODALITE Approach

    ISBN: 978-3-031-04960-6 Preface
    • Elisabetta Di Nitto
    • Jesús Gorroñogoitia Cruz
    • Indika Kumara
    • Dragan Radolović
    • Kamil Tokmakov
    • Zoe Vasileiou
    paper
  • Chapter in a Book: Data Governance

    Data Science for Entrepreneurship - Principles and Methods in Data Engineering, Analytics and Decision-Making Springer
    • Indika Kumara, Paul Mundt, Ralf Schneider, and A.S.M. Kayes
  • FOCloud: Feature Model Guided Performance Prediction and Explanation for Deployment Configurable Cloud Applications

    Journal Transactions on Services Computing   Abstract:
    • Indika Kumara, Mohamed Hameez Ariz, Mohan Baruwal Chhetri, Majid Mohammadi, Willem-Jan Van Den Heuvel, Damian A. Tamburri
    paper
  • Resource Management for TensorFlow Inference

    International Conference on Service-Oriented Computing ICSOC 2021: Service-Oriented Computing pp 238-253
    • Luciano Baresi, Giovanni Quattrocchi, Nicholas Rasi
    paper
  • On the use of class activation maps in remote sensing: the case of Illegal Landfills

    2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)
    • Rocio Nahime Torres; Piero Fraternali; Andrea Biscontini
    paper
  • PAPS: A Serverless Platform for Edge Computing Infrastructures

    Frontiers in Sustainable Cities
    • Luciano Baresi and Giovanni Quattrocchi
    paper
  • QSOC: Quantum Service-Oriented Computing

    15th Symposium and Summer School On Service-Oriented Computing (SummerSoc)
    • Indika Kumara, Willem-Jan Van Den Heuvel, Damian A. Tamburri
    paper
  • An Approach to Support Automated Deployment of Applications on Heterogeneous Cloud-HPC Infrastructures

    2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
    • Elisabetta Di Nitto, Jesús Gorroñogoitia, Indika Kumara, Georgios Meditskos, Dragan Radolović, Karthee Sivalingam, Román Sosa González
    paper
  • Intelligent re-deployment feedback loop for hybrid applications

    SYSTOR '21: Proceedings of the 14th ACM International Conference on Systems and Storage - June 2021 - Article No.: 24 - Pages 1 Abstract: We propose enabling continuous performance optimisation of distributed hybrid applications in heterogeneous cloud, Edge, and HPC environments by employing an intelligent re-deployment feedback loop. See the poster HERE
    • Kalman Meth, Indika Kumara, Giovanni Quattrocchi
    paper
  • HPC Application Optimisation in SODALITE

    SYSTOR '21: Proceedings of the 14th ACM International Conference on Systems and Storage - June 2021 - Article No.: 23 - Pages 1 Abstract: We propose to tackle the complexity of deploying and operating modern applications onto heterogeneous HPC and cloud-based systems by providing application developers and infrastructure operators with tools to abstract their application and infrastructure requirements.
    • Daniel Vladusic, Joao Pita Costa, Dragan Radolovic, Kalman Meth, Elisabetta Di Nitto, Alfio Lazzaro, Nina Mujkanovic, Maria Carbonell
    paper
  • A Smart Development Environment for Infrastructure as Code

    TSOS21: First workshop on trustworthy software and open source, March 23-25, 2021, Virtual Conference
    • Jesús Gorroñogoitia, Zoe Vasileiou, Emilio Imperiali, Indika Kumara, Dragan Radolović and Georgios Meditskos
    paper
  • Poster: "Exploring and troubleshooting istio issues"

    SYSTOR '19: Proceedings of the 12th ACM International Conference on Systems and Storage - May 2019 - Pages 196 Abstract: 
    • Tomer Lange, Aidan Shribman, Eran Raichstein, Katherine Barabash
    paper
  • Examination and Comparison of TOSCA Orchestration Tools

    European Conference on Software Architecture - ECSA 2020: Software Architecture pp 247-259
    • Anže Luzar, Sašo Stanovnik, Matija Cankar
    paper
  • Towards surgically-precise technical debt estimation: early results and research roadmap

    MaLTeSQuE 2019: Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation - August 2019 - Pages 37–42
    • Valentina Lenarduzzi, Antonio Martini, Davide Taibi, Damian Andrew Tamburri
    paper
  • SODALITE@RT: Orchestrating Applications on Cloud-Edge Infrastructures

    Journal of Grid Computing volume 19, Article number: 29 (2021) 
    • Indika Kumara, Paul Mundt, Kamil Tokmakov, Dragan Radolović, Alexander Maslennikov, Román Sosa González, Jorge Fernández Fabeiro, Giovanni Quattrocchi, Kalman Meth, Elisabetta Di Nitto, Damian A. Tamburri, Willem-Jan Van Den Heuvel & Georgios Meditskos
    paper
  • A Pattern-based Semantic Lifting of Cloud and HPC Applications using OWL 2 Meta-modelling

    4th Special Session on High-Performance Services Computing and Internet Technologies (@HPCS2020)
    • Georgios Meditskos, Zoe Vasileiou, Anastasios Karakostas, Stefanos Vrochidis and Ioannis Kompatsiaris
    paper
  • A simulation-based Comparison between Industrial Autoscaling Solutions and COCOS for Cloud Applications

    2020 IEEE International Conference on Web Services (ICWS)
    • Luciano Baresi; Giovanni Quattrocchi
    paper
  • Cloud applications monitoring: An industrial study

    Journal Information and Software Technology Volume 127, November 2020, 106376
    • Damian A. Tamburri, Marco Miglierina, Elisabetta Di Nitto
    paper
  • The do’s and don’ts of infrastructure code: A systematic gray literature review

    ScienceDirect - Information and Software Technology Volume 137, September 2021, 106593 Abstract: Infrastructure-as-code (IaC) is the DevOps tactic of managing and provisioning software infrastructures through machine-readable definition files, rather than manual hardware configuration or interactive configuration tools.
    • Indika Kumara, Martín Garriga, Angel Urbano Romeu, DarioDi Nucci, Fabio Palomba, Damian Andrew Tamburri, Willem-Janvan den Heuvel
    paper
  • StreamGen: Model-Driven Development of Distributed Streaming Applications

    ACM Transactions on Software Engineering and MethodologyVolume 30Issue 1 January 2021 Article No.: 1pp 1–30 
    • Michele Guerriero, Damian Andrew Tamburri, Elisabetta Di Nitto
    paper
  • A Survey of Context-Aware Access Control Mechanisms for Cloud and Fog Networks: Taxonomy and Open Research Issues

    Sensors 2020, 20(9), 2464; https://doi.org/10.3390/s20092464
    • A. S. M. Kayes, Rudri Kalaria, Iqbal H. Sarker, Md. Saiful Islam, Paul A. Watters, Alex Ng, Mohammad Hammoudeh, Shahriar Badsha, and Indika Kumara
    paper
  • Quality Assurance of Heterogeneous Applications: The SODALITE Approach

    ESOCC 2020: Advances in Service-Oriented and Cloud Computing pp 173-178
    • Indika Kumara, Giovanni Quattrocchi, Damian Tamburri, Willem-Jan Van Den Heuvel
    paper
  • Optimising AI Training Deployments using Graph Compilers and Containers

    Artificial Intelligence (AI) applications based on Deep Neural Networks (DNN) or Deep Learning (DL) have become popular due to their success in solving problems likeimage analysis and speech recognition. Training a DNN is computationally intensive and High Performance Computing(HPC) has been a key driver in AI growth. Virtualisation and container technology have led to the convergence of cloud and HPC infrastructure. These infrastructures with diverse hardware increase the complexity of deploying and optimising AI training workloads.
    • Nina Mujkanovic, Karthee Sivalingam, Alfio Lazzaro
    paper preprint
  • DeepIaC: Deep Learning-based Linguistic Anti-Pattern Detection for Infrastructure-as-Code

    Deep Leaning and code embedding based approach to linguistic detecting anti-patterns in Infrastructure as code. This is from SODALITE smell and defect prediction task.
    • Indika Kumara, Nemania Borovits, Parvathy Krishnan , Stefano Dalla Palma , Dario Di Nucci, Fabio Palomba , Damian Tamburri , Willem-Jan van den Heuvel
    preprint
  • COCOS: a Scalable Architecture for Containerized Heterogeneous Systems

    Journal of 2020 IEEE International Conference on Software Architecture (ICSA) pp. 103-113 The work presents a scalable architecture for controlling heterogenous systems. The architecture exploits containers and provides multiple levels of control (container, VM, cluster). A prototype based on Kubernetes is also presented and evaluated.
    • Luciano Baresi, Giovanni Quattrocchi
    paper

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825480. Privacy policy

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