Gabriele Russo Russo

According to our database, Gabriele Russo Russo authored at least 29 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A framework for offloading and migration of serverless functions in the Edge-Cloud Continuum.

Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti

Pervasive Mob. Comput., 2024

QoS-aware offloading policies for serverless functions in the Cloud-to-Edge continuum.

Gabriele Russo Russo, Daniele Ferrarelli, Diana Pasquali, Valeria Cardellini, Francesco Lo Presti

Future Gener. Comput. Syst., 2024

Function Offloading and Data Migration for Stateful Serverless Edge Computing.

Matteo Nardelli, Gabriele Russo Russo

Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

Wasimoff: Distributed Computation Offloading Using WebAssembly in the Browser.

Anton Semjonov, Heiko Bornholdt, Janick Edinger, Gabriele Russo Russo

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Artifact: Wasimoff: Distributed Computation Offloading Using WebAssembly in the Browser.

Anton Semjonov, Heiko Bornholdt, Janick Edinger, Gabriele Russo Russo

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Towards Energy-Aware Execution and Offloading of Serverless Functions.

Cecilia Calavaro, Gabriele Russo Russo, Martina Salvati, Valeria Cardellini, Francesco Lo Presti

Proceedings of the 4th Workshop on Flexible Resource and Application Management on the Edge, 2024

Towards a Multi-Armed Bandit Approach for Adaptive Load Balancing in Function-as-a-Service Systems.

Gabriele Russo Russo, Enrico D'Alessandro, Valeria Cardellini, Francesco Lo Presti

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2024

2023

Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources.

Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti

ACM Trans. Auton. Adapt. Syst., December, 2023

Using Reinforcement Learning to Control Auto-Scaling of Distributed Applications.

Gabriele Russo Russo

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum.

Federica Filippini, Riccardo Cavadini, Danilo Ardagna, Riccardo Lancellotti, Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti

Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

Artifact: Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum.

Gabriele Russo Russo, Tiziana Mannucci, Valeria Cardellini, Francesco Lo Presti

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum.

Gabriele Russo Russo, Tiziana Mannucci, Valeria Cardellini, Francesco Lo Presti

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2023

Serverless Functions in the Cloud-Edge Continuum: Challenges and Opportunities.

Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti

Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Compute Continuum: What Lies Ahead?

Matteo Nardelli, Gabriele Russo Russo, Valeria Cardellini

Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023

2022

Runtime Adaptation of Data Stream Processing Systems: The State of the Art.

Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo

ACM Comput. Surv., January, 2022

Towards QoS-Aware Function Composition Scheduling in Apache OpenWhisk.

Gabriele Russo Russo, Alfredo Milani, Stefano Iannucci, Valeria Cardellini

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Real-time analysis of market data leveraging Apache Flink.

Cecilia Calavaro, Gabriele Russo Russo, Valeria Cardellini

Proceedings of the 16th ACM International Conference on Distributed and Event-based Systems, 2022

2021

Elastic Pulsar Functions for Distributed Stream Processing.

Gabriele Russo Russo, Antonio Schiazza, Valeria Cardellini

Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

MEAD: Model-Based Vertical Auto-Scaling for Data Stream Processing.

Gabriele Russo Russo, Valeria Cardellini, Giuliano Casale, Francesco Lo Presti

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

Model-based auto-scaling of distributed data stream processing applications.

Gabriele Russo Russo

Proceedings of the 21st International Middleware Conference Doctoral Symposium, 2020

2019

Reinforcement Learning Based Policies for Elastic Stream Processing on Heterogeneous Resources.

Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti

Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, 2019

Self-Adaptive Data Stream Processing in Geo-Distributed Computing Environments.

Gabriele Russo Russo

Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, 2019

2018

Decentralized self-adaptation for elastic Data Stream Processing.

Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo

Future Gener. Comput. Syst., 2018

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

Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo

Concurr. Comput. Pract. Exp., 2018

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

Gabriele Russo Russo, Matteo Nardelli, Valeria Cardellini, Francesco Lo Presti

Algorithms, 2018

Towards Decentralized Auto-Scaling Policies for Data Stream Processing Applications.

Gabriele Russo Russo

Proceedings of the 10th Central European Workshop on Services and their Composition, 2018

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

Matteo Nardelli, Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti

Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

2017

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

Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo

Proceedings of the New Frontiers in Quantitative Methods in Informatics, 2017

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

Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo

Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017