Michele Ciavotta

Orcid: 0000-0002-2480-966X

According to our database1, Michele Ciavotta authored at least 54 papers between 2008 and 2024.

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Bibliography

2024
Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems.
IEEE Trans. Serv. Comput., 2023

Estimating Link Confidence for Human-in-the-Loop Table Annotation.
Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

Geospatial Enrichment of Urban Data for Advanced City Planning: a Pilot Study.
Proceedings of the IEEE International Conference on Big Data, 2023

On-Street Parking Prediction: A Comparative Study.
Proceedings of the IEEE International Conference on Big Data, 2023

Driving into Uncertainty: An Adversarial Generative Approach for Multivariate Scenario Generation.
Proceedings of the IEEE International Conference on Big Data, 2023

SigMaNet: One Laplacian to Rule Them All.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ABSTAT-HD: a scalable tool for profiling very large knowledge graphs.
VLDB J., 2022

Architectural Design of Cloud Applications: A Performance-Aware Cost Minimization Approach.
IEEE Trans. Cloud Comput., 2022

On the adoption of e-moped sharing systems.
EPJ Data Sci., 2022

Listening to the City, Attentively: A Spatio-Temporal Attention-Boosted Autoencoder for the Short-Term Flow Prediction Problem.
Algorithms, 2022

Towards Self-Adaptive Peer-to-Peer Monitoring for Fog Environments.
Proceedings of the International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2022

Serverless Computing for NFV: Is it Worth it? A Performance Comparison Analysis.
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Supporting Semantic Data Enrichment at Scale.
Proceedings of the Technologies and Applications for Big Data Value, 2022

2021
Optimizing Quality-Aware Big Data Applications in the Cloud.
IEEE Trans. Cloud Comput., 2021

A Hierarchical Receding Horizon Algorithm for QoS-Driven Control of Multi-IaaS Applications.
IEEE Trans. Cloud Comput., 2021

The Multiple Multidimensional Knapsack with Family-Split Penalties.
Eur. J. Oper. Res., 2021

BEEO: Semantic Support forEvent-Based Data Analytics.
Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

A multi-criteria algorithm for automatic detection of city communities.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS.
Proceedings of the 8th International Conference on Future Internet of Things and Cloud, 2021

DFaaS: Decentralized Function-as-a-Service for Federated Edge Computing.
Proceedings of the 10th IEEE International Conference on Cloud Networking, CloudNet 2021, 2021

2020
Hierarchical Scheduling in on-demand GPU-as-a-Service Systems.
Proceedings of the 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2020

3D-CLoST: A CNN-LSTM Approach for Mobility Dynamics Prediction in Smart Cities.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Towards the Digital Factory: A Microservices-Based Middleware for Real-to-Digital Synchronization.
Proceedings of the Microservices, Science and Engineering., 2020

2019
On the composition and recommendation of multi-feature paths: a comprehensive approach.
GeoInformatica, 2019

ASIA: a Tool for Assisted Semantic Interpretation and Annotation of Tabular Data.
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

Optimizing on-demand GPUs in the Cloud for Deep Learning Applications Training.
Proceedings of the 2019 4th International Conference on Computing, 2019

HyperSpark: A Data-Intensive Programming Environment for Parallel Metaheuristics.
Proceedings of the 2019 IEEE International Congress on Big Data, 2019

2018
An optimization framework for the capacity allocation and admission control of MapReduce jobs in cloud systems.
J. Supercomput., 2018

Enterprise applications cloud rightsizing through a joint benchmarking and optimization approach.
Future Gener. Comput. Syst., 2018

Interoperable meta model for simulation-in-the-loop.
Proceedings of the IEEE Industrial Cyber-Physical Systems, 2018

EW-Shopp Project: Supporting Event and Weather-Based Data Analytics and Marketing Along the Shopper Journey.
Proceedings of the Advances in Service-Oriented and Cloud Computing, 2018

Data wrangling at scale: the experience of EW-shopp.
Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings, 2018

Using historical and weather data for marketing and category management in ecommerce: the experience of EW-shopp.
Proceedings of the 12th European Conference on Software Architecture: Companion Proceedings, 2018

2017
Generalized Nash Equilibria for the Service Provisioning Problem in Multi-Cloud Systems.
IEEE Trans. Serv. Comput., 2017

A mixed integer linear programming optimization approach for multi-cloud capacity allocation.
J. Syst. Softw., 2017

Capacity Allocation for Big Data Applications in the Cloud.
Proceedings of the Companion Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering, 2017

A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016
Palladio Optimization Suite: QoS optimization for component-based Cloud applications.
EAI Endorsed Trans. Cloud Syst., 2016

D-SPACE4Cloud: A Design Tool for Big Data Applications.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016

2015
Optimal Map Reduce Job Capacity Allocation in Cloud Systems.
SIGMETRICS Perform. Evaluation Rev., 2015

A Model-Driven DevOps Framework for QoS-Aware Cloud Applications.
Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015

SPACE4Cloud: a DevOps environment for multi-cloud applications.
Proceedings of the 1st International Workshop on Quality-Aware DevOps, 2015

A Joint Benchmark-Analytic Approach For Design-Time Assessment of Multi-Cloud Applications.
Proceedings of the 1st International Conference on Cloud Forward: From Distributed to Complete Computing, 2015

2014
Quality-of-service in cloud computing: modeling techniques and their applications.
J. Internet Serv. Appl., 2014

Issues about the Adoption of Formal Methods for Dependable Composition of Web Services.
Int. J. Syst. Serv. Oriented Eng., 2014

Optimal Capacity Allocation for Executing MapReduce Jobs in Cloud Systems.
Proceedings of the 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014

A Receding Horizon Approach for the Runtime Management of IaaS Cloud Systems.
Proceedings of the 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014

A Multi-model Optimization Framework for the Model Driven Design of Cloud Applications.
Proceedings of the Search-Based Software Engineering - 6th International Symposium, 2014

2013
Multi-objective sequence dependent setup times permutation flowshop: A new algorithm and a comprehensive study.
Eur. J. Oper. Res., 2013

SPACE4CLOUD: a tool for system performance and costevaluation of cloud systems.
Proceedings of the 2013 international workshop on Multi-cloud applications and federated clouds, 2013

2011
Restarted Iterated Pareto Greedy algorithm for multi-objective flowshop scheduling problems.
Comput. Oper. Res., 2011

2008
A Review and Evaluation of Multiobjective Algorithms for the Flowshop Scheduling Problem.
INFORMS J. Comput., 2008

A bi-objective coordination setup problem in a two-stage production system.
Eur. J. Oper. Res., 2008


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