All Stories

  1. Run-time Adaptation of Data Stream Processing Systems: The State of the Art

    Article • ACM Computing Surveys, January 2022, ACM (Association for Computing Machinery)

    Valeria Cardellini, Matteo Nardelli, Gabriele Russo Russo

  2. Dynamic Multi-metric Thresholds for Scaling Applications Using Reinforcement Learning

    Article • IEEE Transactions on Cloud Computing, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Matteo Nardelli

  3. Towards a Security-Aware Deployment of Data Streaming Applications in Fog Computing

    Article • January 2021, Springer Science + Business Media

    Matteo Nardelli

  4. Geo-distributed efficient deployment of containers with Kubernetes

    Article • Computer Communications, June 2020, Elsevier

    Matteo Nardelli

  5. Self-adaptive Container Deployment in the Fog: A Survey

    Article • January 2020, Springer Science + Business Media

    Matteo Nardelli

  6. Efficient Operator Placement for Distributed Data Stream Processing Applications

    Article • IEEE Transactions on Parallel and Distributed Systems, August 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Matteo Nardelli

  7. Horizontal and Vertical Scaling of Container-Based Applications Using Reinforcement Learning

    Article • July 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Matteo Nardelli

  8. Optimal Placement of Stream Processing Operators in the Fog

    Article • May 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Stefan Schulte, Matteo Nardelli

  9. Event-based failure prediction in distributed business processes

    Article • Information Systems, March 2019, Elsevier

    Stefan Schulte, Matteo Nardelli

  10. A Multi-level Elasticity Framework for Distributed Data Stream Processing

    Article • December 2018, Springer Science + Business Media

    Matteo Nardelli

  11. Decentralized self-adaptation for elastic Data Stream Processing

    Article • Future Generation Computer Systems, October 2018, Elsevier

    Matteo Nardelli

  12. Multi-Level Elasticity for Wide-Area Data Streaming Systems: A Reinforcement Learning Approach

    Article • Algorithms, September 2018, MDPI AG

    Matteo Nardelli

  13. Multi-Level Elastic Deployment of Containerized Applications in Geo-Distributed Environments

    Article • August 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Matteo Nardelli

  14. VTDL: A Notation for Data Stream Processing Applications

    Article • March 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Stefan Schulte, Matteo Nardelli

  15. Auto-Scaling in Data Stream Processing Applications: A Model-Based Reinforcement Learning Approach

    Article • January 2018, Springer Science + Business Media

    Matteo Nardelli

  16. Integrating SDN and NFV with QoS-Aware Service Composition

    Article • January 2018, Springer Science + Business Media

    Matteo Nardelli

  17. QoS-Based Elasticity for Service Chains in Distributed Edge Cloud Environments

    Article • January 2018, Springer Science + Business Media

    Matteo Nardelli

  18. Towards Hierarchical Autonomous Control for Elastic Data Stream Processing in the Fog

    Article • January 2018, Springer Science + Business Media

    Matteo Nardelli

  19. Optimal operator deployment and replication for elastic distributed data stream processing

    Article • Concurrency and Computation Practice and Experience, October 2017, Wiley

    Valeria Cardellini, Matteo Nardelli

  20. Optimized IoT service placement in the fog

    Article • Service Oriented Computing and Applications, October 2017, Springer Science + Business Media

    Stefan Schulte, Matteo Nardelli

  21. A Data Streaming Approach to Link Mining in Criminal Networks

    Article • August 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Matteo Nardelli

  22. Optimal Operator Replication and Placement for Distributed Stream Processing Systems

    Article • ACM SIGMETRICS Performance Evaluation Review, May 2017, ACM (Association for Computing Machinery)

    Matteo Nardelli

  23. Towards QoS-Aware Fog Service Placement

    Article • May 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Stefan Schulte, Matteo Nardelli

  24. Elastic Provisioning of Virtual Machines for Container Deployment

    Article • April 2017, ACM (Association for Computing Machinery)

    Stefan Schulte, Matteo Nardelli

  25. Osmotic Flow: Osmotic Computing + IoT Workflow

    Article • IEEE Cloud Computing, March 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Matteo Nardelli

  26. Joint Operator Replication and Placement Optimization for Distributed Streaming Applications

    Article • January 2017, Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST)

    Matteo Nardelli

  27. Elastic stateful stream processing in storm

    Article • July 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Matteo Nardelli

  28. Optimal operator placement for distributed stream processing applications

    Article • June 2016, ACM (Association for Computing Machinery)

    Matteo Nardelli

  29. Placement of distributed stream processing over heterogeneous infrastructures

    Article • June 2016, ACM (Association for Computing Machinery)

    Matteo Nardelli

  30. Real-time analysis of social networks leveraging the flink framework

    Article • June 2016, ACM (Association for Computing Machinery)

    Matteo Nardelli

  31. QoS-aware deployment of data streaming applications over distributed infrastructures

    Article • May 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Matteo Nardelli

  32. On QoS-aware scheduling of data stream applications over fog computing infrastructures

    Article • July 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Matteo Nardelli

  33. Distributed QoS-aware scheduling in storm

    Article • June 2015, ACM (Association for Computing Machinery)

    Matteo Nardelli