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Francesco Lo Presti
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Publications
- 2023
- [j32]Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti:
Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources. ACM Trans. Auton. Adapt. Syst. 18(4): 14:1-14:44 (2023) - [j31]Fabiana Rossi, Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli:
Dynamic Multi-Metric Thresholds for Scaling Applications Using Reinforcement Learning. IEEE Trans. Cloud Comput. 11(2): 1807-1821 (2023) - [c58]Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti:
Serverless Functions in the Cloud-Edge Continuum: Challenges and Opportunities. PDP 2023: 321-328 - [c57]Gabriele Russo Russo, Tiziana Mannucci, Valeria Cardellini, Francesco Lo Presti:
Artifact: Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum. PerCom Workshops 2023: 1-2 - [c56]Gabriele Russo Russo, Tiziana Mannucci, Valeria Cardellini, Francesco Lo Presti:
Serverledge: Decentralized Function-as-a-Service for the Edge-Cloud Continuum. PERCOM 2023: 131-140 - [i3]Fabrizio Ferrandi, Serena Curzel, Leandro Fiorin, Daniele Ielmini, Cristina Silvano, Francesco Conti, Alessio Burrello, Francesco Barchi, Luca Benini, Luciano Lavagno, Teodoro Urso, Enrico Calore, Sebastiano Fabio Schifano, Cristian Zambelli, Maurizio Palesi, Giuseppe Ascia, Enrico Russo, Nicola Petra, Davide De Caro, Gennaro Di Meo, Valeria Cardellini, Salvatore Filippone, Francesco Lo Presti, Francesco Silvestri, Paolo Palazzari, Stefania Perri:
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures. CoRR abs/2311.17815 (2023) - 2022
- [j30]Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo:
Runtime Adaptation of Data Stream Processing Systems: The State of the Art. ACM Comput. Surv. 54(11s): 237:1-237:36 (2022) - 2021
- [c55]Gabriele Russo Russo, Valeria Cardellini, Giuliano Casale, Francesco Lo Presti:
MEAD: Model-Based Vertical Auto-Scaling for Data Stream Processing. CCGRID 2021: 314-323 - 2020
- [j28]Fabiana Rossi, Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli:
Geo-distributed efficient deployment of containers with Kubernetes. Comput. Commun. 159: 161-174 (2020) - [j27]Valeria Cardellini, Valerio Di Valerio, Francesco Lo Presti:
Game-Theoretic Resource Pricing and Provisioning Strategies in Cloud Systems. IEEE Trans. Serv. Comput. 13(1): 86-98 (2020) - [c54]Fabiana Rossi, Valeria Cardellini, Francesco Lo Presti:
Hierarchical Scaling of Microservices in Kubernetes. ACSOS 2020: 28-37 - [c52]Fabiana Rossi, Valeria Cardellini, Francesco Lo Presti:
Self-adaptive Threshold-based Policy for Microservices Elasticity. MASCOTS 2020: 1-8 - 2019
- [j25]Matteo Nardelli, Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti:
Efficient Operator Placement for Distributed Data Stream Processing Applications. IEEE Trans. Parallel Distributed Syst. 30(8): 1753-1767 (2019) - [c51]Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Fabiana Rossi:
Self-adaptive Container Deployment in the Fog: A Survey. ALGOCLOUD 2019: 77-102 - [c50]Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti:
Reinforcement Learning Based Policies for Elastic Stream Processing on Heterogeneous Resources. DEBS 2019: 31-42 - [c49]Fabiana Rossi, Valeria Cardellini, Francesco Lo Presti:
Elastic Deployment of Software Containers in Geo-Distributed Computing Environments. ISCC 2019: 1-7 - 2018
- [j24]Gabriele Russo Russo, Matteo Nardelli, Valeria Cardellini, Francesco Lo Presti:
Multi-Level Elasticity for Wide-Area Data Streaming Systems: A Reinforcement Learning Approach. Algorithms 11(9): 134 (2018) - [j23]Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo:
Optimal operator deployment and replication for elastic distributed data stream processing. Concurr. Comput. Pract. Exp. 30(9) (2018) - [j22]Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo:
Decentralized self-adaptation for elastic Data Stream Processing. Future Gener. Comput. Syst. 87: 171-185 (2018) - [c48]Matteo Nardelli, Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti:
A Multi-level Elasticity Framework for Distributed Data Stream Processing. Euro-Par Workshops 2018: 53-64 - [p1]Valeria Cardellini, Tihana Galinac Grbac, Andreas Kassler, Pradeeban Kathiravelu, Francesco Lo Presti, Antonio Marotta, Matteo Nardelli, Luís Veiga:
Integrating SDN and NFV with QoS-Aware Service Composition. Autonomous Control for a Reliable Internet of Services 2018: 212-240 - 2017
- [j20]Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, Matteo Nardelli:
Optimal Operator Replication and Placement for Distributed Stream Processing Systems. SIGMETRICS Perform. Evaluation Rev. 44(4): 11-22 (2017) - [c47]Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo:
Towards Hierarchical Autonomous Control for Elastic Data Stream Processing in the Fog. Euro-Par Workshops 2017: 106-117 - [c46]Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo:
Auto-Scaling in Data Stream Processing Applications: A Model-Based Reinforcement Learning Approach. InfQ@VALUETOOLS 2017: 97-110 - 2016
- [j18]Valeria Cardellini, Vittoria De Nitto Persone, Valerio Di Valerio, Francisco Facchinei, Vincenzo Grassi, Francesco Lo Presti, Veronica Piccialli:
A game-theoretic approach to computation offloading in mobile cloud computing. Math. Program. 157(2): 421-449 (2016) - [c45]Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, Matteo Nardelli:
Optimal operator placement for distributed stream processing applications. DEBS 2016: 69-80 - [c41]Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, Matteo Nardelli:
Joint Operator Replication and Placement Optimization for Distributed Streaming Applications. VALUETOOLS 2016 - 2015
- [c40]Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, Matteo Nardelli:
Distributed QoS-aware scheduling in storm. DEBS 2015: 344-347 - [c39]Marco Abundo, Valerio Di Valerio, Valeria Cardellini, Francesco Lo Presti:
QoS-aware bidding strategies for VM spot instances: A reinforcement learning approach applied to periodic long running jobs. IM 2015: 53-61 - [c38]Valeria Cardellini, Vincenzo Grassi, Francesco Lo Presti, Matteo Nardelli:
On QoS-aware scheduling of data stream applications over fog computing infrastructures. ISCC 2015: 271-276 - 2014
- [c37]Marco Abundo, Valerio Di Valerio, Valeria Cardellini, Francesco Lo Presti:
Bidding Strategies in QoS-Aware Cloud Systems Based on N-Armed Bandit Problems. NCCA 2014: 38-45 - 2013
- [j16]Valeria Cardellini, Valerio Di Valerio, Vincenzo Grassi, Stefano Iannucci, Francesco Lo Presti:
QoS Driven Per-Request Load-Aware Service Selection in Service Oriented Architectures. Int. J. Softw. Informatics 7(2): 195-220 (2013) - [c34]Valerio Di Valerio, Valeria Cardellini, Francesco Lo Presti:
Optimal Pricing and Service Provisioning Strategies in Cloud Systems: A Stackelberg Game Approach. IEEE CLOUD 2013: 115-122 - [c33]Valeria Cardellini, Emiliano Casalicchio, Vincenzo Grassi, Stefano Iannucci, Francesco Lo Presti, Raffaela Mirandola:
MOSES: A Platform for Experimenting with QoS-Driven Self-Adaptation Policies for Service Oriented Systems. Software Engineering for Self-Adaptive Systems 2013: 409-433 - 2012
- [j14]Marco Abundo, Valeria Cardellini, Francesco Lo Presti:
Admission control policies for a multi-class QoS-aware service oriented architecture. SIGMETRICS Perform. Evaluation Rev. 39(4): 89-98 (2012) - [j13]Valeria Cardellini, Emiliano Casalicchio, Vincenzo Grassi, Stefano Iannucci, Francesco Lo Presti, Raffaela Mirandola:
MOSES: A Framework for QoS Driven Runtime Adaptation of Service-Oriented Systems. IEEE Trans. Software Eng. 38(5): 1138-1159 (2012) - 2011
- [c31]Marco Abundo, Valeria Cardellini, Francesco Lo Presti:
An MDP-based admission control for a QoS-aware service-oriented system. IWQoS 2011: 1-3 - [c30]Valeria Cardellini, Emiliano Casalicchio, Francesco Lo Presti, Luca Silvestri:
SLA-aware Resource Management for Application Service Providers in the Cloud. NCCA 2011: 20-27 - [c29]Valeria Cardellini, Valerio Di Valerio, Vincenzo Grassi, Stefano Iannucci, Francesco Lo Presti:
A Performance Comparison of QoS-Driven Service Selection Approaches. ServiceWave 2011: 167-178 - [c28]Marco Abundo, Valeria Cardellini, Francesco Lo Presti:
Optimal Admission Control for a QoS-Aware Service-Oriented System. ServiceWave 2011: 179-190 - [c27]Valeria Cardellini, Valerio Di Valerio, Vincenzo Grassi, Stefano Iannucci, Francesco Lo Presti:
A new approach to QoS driven service selection in service oriented architectures. SOSE 2011: 102-113 - 2010
- [c25]Valeria Cardellini, Emiliano Casalicchio, Vincenzo Grassi, Francesco Lo Presti:
Adaptive Management of Composite Services under Percentile-Based Service Level Agreements. ICSOC 2010: 381-395 - [c23]Valeria Cardellini, Emiliano Casalicchio, Vincenzo Grassi, Francesco Lo Presti:
On Guaranteeing Global Dependability Properties in Collaborative Business Process Management. BSME 2010: 48-70 - 2009
- [c20]Valeria Cardellini, Emiliano Casalicchio, Vincenzo Grassi, Francesco Lo Presti, Raffaela Mirandola:
A Scalable Approach to QoS-Aware Self-adaption in Service-Oriented Architectures. QSHINE 2009: 431-447 - [c19]Valeria Cardellini, Emiliano Casalicchio, Vincenzo Grassi, Francesco Lo Presti, Raffaela Mirandola:
Qos-driven runtime adaptation of service oriented architectures. ESEC/SIGSOFT FSE 2009: 131-140 - 2008
- [c18]Valeria Cardellini, Emiliano Casalicchio, Vincenzo Grassi, Francesco Lo Presti, Raffaela Mirandola:
Towards Self-adaptation for Dependable Service-Oriented Systems. WADS 2008: 24-48 - 2007
- [c17]Valeria Cardellini, Emiliano Casalicchio, Vincenzo Grassi, Francesco Lo Presti:
Flow-Based Service Selection forWeb Service Composition Supporting Multiple QoS Classes. ICWS 2007: 743-750 - [c15]Valeria Cardellini, Emiliano Casalicchio, Vincenzo Grassi, Francesco Lo Presti:
Efficient provisioning of service level agreements for service oriented applications. IW-SOSWE 2007: 29-35
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