Publications
QoS management techniques
- S Tuli, G Casale, M Roveri, SELA: Smart Edge LLM Agent to Optimize Response Trade-offs of AI Assistants, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, volume 9, pp.130:1–130:18, 2025, j100
- X Wu, H Yu, G Casale, G Gao, Towards Cost-Optimal Policies for DAGs to Utilize IaaS Clouds With Online Learning, IEEE Transactions on Services Computing, volume 18, pp.2439–2455, 2025, j98
- Y Chen, Z Niu, M Roveri, G Casale, CEED: Collaborative Early Exit Neural Network Inference at the Edge, Proc. of INFOCOM 2025, pp.1–10, 2025, c116
- B Sun, R Pinciroli, G Casale, E Smirni, DeepBAT: Performance and Cost Optimization of Serverless Inference Using Transformers, Proc. of IPDPS 2025, pp.335–346, 2025, c115
- G Casale, M Roveri, Scheduling Inputs in Early Exit Neural Networks, IEEE Trans. Computers, volume 73, pp.451–465, 2024
- Z Niu, M Roveri, G Casale, ChainNet: A Customized Graph Neural Network Model for Loss-Aware Edge AI Service Deployment, Proc. of DSN 2024, pp.238–251, 2024, c113
- S Tuli, G Casale, N Jennings, Learning to dynamically select cost optimal schedulers in cloud computing environments, Proc. of ACM SIGMETRICS 2022, pp.29–31, 2023
- S Tuli, G Casale, NR Jennings, CILP: Co-simulation based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments, IEEE Transactions on Network and Service Management, pp.1–1, 2023
- S Tuli, G Casale, NR Jennings, SciNet: Codesign of Resource Management in Cloud Computing Environments, IEEE Trans. Computers, volume 72, pp.3590–3602, 2023
- S Tuli, G Casale, NR Jennings, SimTune: bridging the simulator reality gap for resource management in edge-cloud computing, Scientific Reports, volume 12, 2022
- S Tuli, G Casale, NR Jennings, MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems, IEEE Transactions on Parallel and Distributed Systems, volume 33, pp.2794–2807, 2022
- S Tuli, G Casale, NR Jennings, GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments, IEEE Transactions on Parallel and Distributed Systems, volume 33, pp.2821–2833, 2022
- S Tuli, G Casale, NR Jennings, SplitPlace: AI augmented splitting and placement of large-scale neural networks in mobile edge environments, IEEE Transactions on Mobile Computing, 2022, Accepted in IEEE Transactions on Mobile Computing
- S Tuli, G Casale, NR Jennings, MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments, Proc. of IEEE CLOUD 2022, pp.331–341, 2022
- Y Gao, G Casale, JCSP: Joint Caching and Service Placement for Edge Computing Systems, Proc. of IWQoS 2022, 2022
- S Tuli, SR Poojara, SN Srirama, G Casale, NR Jennings, COSCO: Container Orchestration Using Co-Simulation and Gradient Based Optimization for Fog Computing Environments, IEEE Transactions on Parallel and Distributed Systems, volume 33, pp.101–116, 2022
- S Tuli, SS Gill, M Xu, P Garraghan, R Bahsoon, S Dustdar, R Sakellariou, O Rana, R Buyya, G Casale, NR Jennings, HUNTER: AI based holistic resource management for sustainable cloud computing, Journal of Systems and Software, volume 184, 2021
- A Alnafessah, G Russo Russo, V Cardellini, G Casale, F Lo Presti, AI‐Driven Performance Management in Data‐Intensive Applications, pp.199–222, 2021
- G Casale, N Gast, Performance analysis methods for list-based caches with non-uniform access, IEEE/ACM Transactions on Networking, volume 29, pp.651–664, 2021
- L Zhu, G Giotis, V Tountopoulos, G Casale, RDOF: Deployment Optimization for Function as a Service, Proc. of IEEE CLOUD 2021, pp.508–514, 2021
- GR Russo, V Cardellini, G Casale, F Lo Presti, MEAD: Model-Based Vertical Auto-Scaling for Data Stream Processing, Proc. of CCGrid 2021, pp.314–323, 2021
- G Casale, M Artac, W-J van den Heuvel, A van Hoorn, P Jakovits, F Leymann, M Long, V Papanikolaou, D Presenza, A Russo, SN Srirama, DA Tamburri, M Wurster, L Zhu, RADON: rational decomposition and orchestration for serverless computing, SICS Software-Intensive Cyber-Physical Systems, volume 35, pp.77–87, 2020
- S Tuli, SS Gill, G Casale, NR Jennings, iThermoFog: IoT-Fog based automatic thermal profile creation for cloud data centers using artificial intelligence techniques, Internet Technology Letters, 2020
- A Ul Gias, G Casale, COCOA: Cold Start Aware Capacity Planning for Function-as-a-Service Platforms, Proc. of MASCOTS 2020, pp.1–8, 2020
- X Wu, F De Pellegrini, G Gao, G Casale, A Framework for Allocating Server Time to Spot and On-Demand Services in Cloud Computing, ACM Transactions on Modeling and Performance Evaluation of Computing Systems, volume 4, 2019
- SS Gill, P Garraghan, V Stankovski, G Casale, RK Thulasiram, SK Ghosh, K Ramamohanarao, R Buyya, Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge, Journal of Systems and Software, volume 155, pp.104–129, 2019
- A Ul Gias, G Casale, CM Woodside, ATOM: Model-Driven Autoscaling for Microservices, Proc. of ICDCS 2019, pp.1994–2004, 2019
- G Casale, Analyzing replacement policies in list-based caches with non-uniform access costs, Proc. of INFOCOM 2018, pp.432–440, 2018
- S Dipietro, R Buyya, G Casale, PAX: Partition-Aware Autoscaling for the Cassandra NoSQL Database, Proc. of NOMS 2018, 2018
- M Karsten, G Casale, Energy-efficient resource allocation and provisioning for in-memory database clusters, Proc. of IM 2017, 2017
- C Li, G Casale, Performance-Aware Refactoring of Cloud-based Big Data Applications, Proc. of CSCI 2017, pp.1505–1510, 2017
- D Ardagna, M Ciavotta, GP Gibilisco, RB Desantis, G Casale, JF Pérez, F D’Andria, R Sosa González, QoS Assessment and SLA Management, Model-Driven Development and Operation of Multi-Cloud Applications, pp.35–46, 2017
- G Iuhasz, P Jamshidi, W Wang, G Casale, Load Balancing for Multi-cloud, Model-Driven Development and Operation of Multi-Cloud Applications, pp.53–58, 2017
- F Yan, L Ren, DJ Dubois, G Casale, J Wen, E Smirni, How to Supercharge the Amazon T2: Observations and Suggestions, Proc. of IEEE CLOUD 2017, pp.278–285, 2017
- K Molka, G Casale, Contention-aware workload placement for in-memory databases in cloud environments, ACM Transactions on Modeling and Performance Evaluation of Computing Systems, volume 2, 2016
- DJ Dubois, C Trubiani, G Casale, Model-driven Application Refactoring to Minimize Deployment Costs in Preemptible Cloud Resources, Proc. of IEEE CLOUD 2016, pp.335–342, 2016
- P Jamshidi, G Casale, An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing Systems, Proc. of MASCOTS 2016, pp.39–48, 2016
- R Osman, JF Perez, G Casale, Quantifying the Impact of Replication on the Quality-of-Service in Cloud Databases, Proc. of QRS 2016, pp.286–297, 2016
Predictive modeling and quantitative evaluation
- G Casale, A family of multiclass LCFS networks with a novel product-form solution, Queueing Systems: Theory and Applications, volume 110, article 32, 2026, j103
- M Sheldon, D Tuncer, G Casale, TBI: Transient Hierarchical Modeling of Large-Scale Vehicle Sharing Systems, IEEE Transactions on Intelligent Transportation Systems, volume 26, pp.19720–19729, 2025, j101
- M Sheldon, D Paccagnan, G Casale, Competitive Analysis of Vehicle-Sharing Systems With Cournot Queueing Games, IEEE Transactions on Intelligent Transportation Systems, volume 26, pp.12039–12048, 2025, j99
- Y Gao, R Sala, D Ardagna, G Casale, Deep Surrogate Models of Serverless Batch Processing Services, Proc. of ESOCC 2025, pp.155–170, 2025, c117
- L Zhu, DA Tamburri, G Casale, RADF: Architecture decomposition for function as a service, Softw. Pract. Exp., volume 54, pp.566–594, 2024
- Z Niu, G Casale, Neural Density Estimation of Response Times in Layered Software Systems, IEEE Trans. Software Eng., volume 50, pp.636–650, 2024
- M Sheldon, D Paccagnan, G Casale, Cournot Queueing Games with Applications to Mobility Systems, Proc. of AAMAS 2024, pp.2462–2464, 2024
- Z Li, G Casale, Matrix Network Analyzer: A New Decomposition Algorithm for Phase-type Queueing Networks (Work In Progress Paper), Proc. of ICPE 2024, pp.34–39, 2024
- G Casale, Optimizing Edge AI: Performance Engineering in Resource-Constrained Environments, Proc. of ICPE 2024, pp.223, 2024
- R-A Dobre, Z Niu, G Casale, Approximating Fork-Join Systems via Mixed Model Transformations, Proc. of ICPE 2024, pp.273–280, 2024
- D Olliaro, G Casale, A Marin, S Rossi, A Product-form Network for Systems with Job Stealing Policies, ACM Transactions on Modeling and Performance Evaluation of Computing Systems, volume 9, pp.6:1–6:26, 2024
- G Casale, Y Gao, Z Niu, L Zhu, LN: A Flexible Algorithmic Framework for Layered Queueing Network Analysis, ACM Transactions on Modeling and Computer Simulation, volume 34, pp.17:1–17:26, 2024, j93
- D Olliaro, G Casale, A Marin, S Rossi, A Product-form Network for Systems with Job Stealing Policies, ACM Transactions on Modeling and Performance Evaluation of Computing Systems, volume 9, pp.6:1–6:26, 2024, j92
- Y Gao, G Casale, R Singhal, Performance Modeling of Distributed Data Processing in Microservice Applications, ACM Transactions on Modeling and Performance Evaluation of Computing Systems, volume 9, pp.14:1–14:30, 2024, j91
- Y Zhou, M Sheldon, G Casale, Approximating Closed Queueing Networks in Semi-Markov Random Environments, Proc. of MASCOTS 2024, pp.1–8, 2024, c112
- J Bor, G Casale, WJ Knottenbelt, E Smirni, A Stathopoulos, Fitting with matrix exponential mixtures generated by discrete probabilistic scaling, ACM SIGMETRICS Performance Evaluation Review, volume 51, pp.15–17, 2023
- R Wang, G Casale, A Filieri, Estimating multiclass service demand distributions using Markovian arrival processes, ACM Transactions on Modeling and Computer Simulation, volume 33, pp.1–26, 2022
- S Tuli, G Casale, Optimizing the Performance of Fog Computing Environments Using AI and Co-Simulation, Proc. of ICPE 2022, 2022
- M Sheldon, G Casale, TauSSA: simulating markovian queueing networks with Tau leaping, ACM SIGMETRICS Performance Evaluation Review, volume 49, pp.70–75, 2022
- G Casale, Y Gao, Z Niu, L Zhu, LN: A Meta-solver for Layered Queueing Network Analysis, Proc. of QEST 2022, volume 13479, pp.232–254, 2022
- R Wang, G Casale, A Filieri, Enhancing Performance Modeling of Serverless Functions via Static Analysis, Proc. of ICSOC 2022, volume 13740, pp.71–88, 2022
- G Casale, PG Harrison, WH Ong, Facilitating load-dependent queueing analysis through factorization, Performance Evaluation, volume 152, 2021
- I Perez, G Casale, Variational Inference For Markovian Queueing Networks, Advances in Applied Probability, volume 53, pp.687–715, 2021
- R Wang, G Casale, A Filieri, Service Demand Distribution Estimation for Microservices Using Markovian Arrival Processes, Proc. of QEST 2021, volume 12846, pp.310–328, 2021
- Y Chen, G Casale, Deep Learning Models for Automated Identification of Scheduling Policies, Proc. of MASCOTS 2021, pp.1–8, 2021
- Z Niu, G Casale, A Mixture Density Network Approach to Predicting Response Times in Layered Systems, Proc. of MASCOTS 2021, pp.104–111, 2021
- L Zhu, G Casale, I Perez, Fluid approximation of closed queueing networks with discriminatory processor sharing, Performance Evaluation, volume 139, 2020
- AU Gias, A van Hoorn, L Zhu, G Casale, TF Duellmann, M Wurster, Performance Engineering for Microservices and Serverless Applications: The RADON Approach, Proc. of ICPE 2020, pp.46–49, 2020
- G Casale, Integrated performance evaluation of extended queueing network models with LINE, Proc. of WSC 2020, pp.2377–2388, 2020
- G Casale, P Harrison, O Wai Hong, Novel solutions for closed queueing networks with load-dependent stations, Proc. of MAMA 2019, volume 47, 2019
- G Casale, Automated Multi-paradigm Analysis of Extended and Layered Queueing Models with LINE, Proc. of ICPE 2019, pp.37–38, 2019
- S Dipietro, G Casale, SD: a Divergence-based Estimation Method for Service Demands in Cloud Systems, Proc. of FiCloud 2019, pp.197–204, 2019
- W Wang, G Casale, A Kattepur, MK Nambiar, QMLE: A Methodology for Statistical Inference of Service Demands from Queueing Data, ACM Transactions on Modeling and Performance Evaluation of Computing Systems, volume 3, 2018
- G Casale, G Serazzi, L Zhu, Performance evaluation with java modelling tools: a hands-on introduction, ACM SIGMETRICS Performance Evaluation Review, volume 45, pp.246–247, 2017
- G Casale, Accelerating performance inference over closed systems by asymptotic methods, Proceedings of the ACM on Measurement and Analysis of Computing Systems, volume 1, pp.64–64, 2017
- S Dipietro, G Casale, G Serazzi, A Queueing Network Model for Performance Prediction of Apache Cassandra, Proc. of VALUETOOLS 2016, pp.186–193, 2017
- G Casale, A note on integrating products of linear forms over the unit simplex, 2017
- C Li, T Altamimi, MH Zargari, G Casale, D Petriu, Tulsa: A Tool for Transforming UML to Layered Queueing Networks for Performance Analysis of Data Intensive Applications, Proc. of QEST 2017, volume 10503, pp.295–299, 2017
- G Kecskemeti, G Casale, DN Jha, J Lyon, R Ranjan, Modelling and Simulation Challenges in Internet of Things, IEEE Cloud Computing, volume 4, pp.62–69, 2017
- G Casale, A Sansottera, P Cremonesi, Compact Markov-modulated models for multiclass trace fitting, European Journal of Operational Research, volume 255, pp.822–833, 2016
- W Wang, G Casale, C Sutton, A Bayesian Approach to Parameter Inference in Queueing Networks, ACM Transactions on Modeling and Computer Simulation, volume 27, 2016
- K Molka, G Casale, Efficient Memory Occupancy Models for In-Memory Databases, Proc. of MASCOTS 2016, pp.430–432, 2016
Dependability and fault-tolerance
- R Wang, G Yu, G Casale, P Chen, A Filieri, Fine-grained Tracing for Performance Anomaly Diagnosis of Serverless Functions, ACM Transactions on Autonomous and Adaptive Systems, volume 21, pp.5:1–5:29, 2026, j102
- W Luo, G Casale, Enhanced Training of Response Time Anomaly Detectors Using Diffusion Models, Proc. of MASCOTS 2025, pp.1–8, 2025, c118
- A Ul Gias, Y Gao, M Sheldon, JA Perusquía, O O'Brien, G Casale, SampleHST-X: A Point and Collective Anomaly-Aware Trace Sampling Pipeline with Approximate Half Space Trees, J. Netw. Syst. Manag., volume 32, pp.44, 2024
- S Tuli, G Casale, NR Jennings, PreGAN+: Semi-Supervised Fault Prediction and Preemptive Migration in Dynamic Mobile Edge Environments, IEEE Trans. Mob. Comput., volume 23, pp.6881–6895, 2024
- A Ul Gias, Y Gao, M Sheldon, JA Perusquía, O O’Brien, G Casale, SampleHST: Efficient On-the-Fly Selection of Distributed Traces, Proc. of NOMS 2023, 2023
- J Soikkeli, G Casale, L Munoz-Gonzalez, EC Lupu, Redundancy Planning for Cost Efficient Resilience to Cyber Attacks, IEEE Trans. Dependable Secur. Comput., volume 20, pp.1154–1168, 2023
- S Tuli, SS Gill, P Garraghan, R Buyya, G Casale, NR Jennings, START: Straggler Prediction and Mitigation for Cloud Computing Environments Using Encoder LSTM Networks, IEEE Trans. Serv. Comput., volume 16, pp.615–627, 2023
- S Tuli, G Casale, NR Jennings, DRAGON: Decentralized fault tolerance in edge federations, IEEE Transactions on Network and Service Management, volume 20, pp.276–291, 2022
- S Tuli, G Casale, N Jennings, PreGAN: Preemptive migration prediction network for proactive fault-tolerant edge computing, Proc. of INFOCOM 2022, pp.670–679, 2022
- S Tuli, G Casale, N Jennings, TranAD: deep transformer networks for anomaly detection in multivariate time series data, Proceedings of the VLDB Endowment, volume 15, pp.1201–1214, 2022
- S Tuli, G Casale, NR Jennings, CAROL: Confidence-Aware Resilience Model for Edge Federations, Proc. of DSN 2022, pp.28–40, 2022
- A Alnafessah, G Casale, AI Driven Methodology for Anomaly Detection in Apache Spark Streaming Systems, Proc. of ICCAIS 2020, 2020
- A Alnafessah, G Casale, TRACK-Plus: Optimizing Artificial Neural Networks for Hybrid Anomaly Detection in Data Streaming Systems, IEEE Access, volume 8, pp.146613–146626, 2020
- AS Alnafessah, G Casale, TRACK: Optimizing Artificial Neural Networks for Anomaly Detection in Spark Streaming Systems, Proc. of VALUETOOLS 2020, pp.188–191, 2020
- A Alnafessah, G Casale, Artificial neural networks based techniques for anomaly detection in Apache Spark, Cluster Computing, volume 23, pp.1345–1360, 2019
- A Alnafessah, G Casale, A Neural-Network Driven Methodology for Anomaly Detection in Apache Spark, Proc. of QUATIC 2018, pp.201–209, 2018
- JF Pérez, G Casale, LINE : evaluating software applications in unreliable environments, IEEE Transactions on Reliability, volume 66, pp.837–853, 2017
Other
- S Tuli, F Mirhakimi, S Pallewatta, S Zawad, G Casale, B Javadi, F Yan, R Buyya, NR Jennings, AI augmented Edge and Fog computing: trends and challenges, Journal of Network and Computer Applications, volume 216, pp.1–28, 2023
- G Casale, Performance evaluation teaching in the age of cloud computing, ACM SIGMETRICS Performance Evaluation Review, volume 51, pp.45–49, 2023
- A Alnafessah, A Ul Gias, R Wang, L Zhu, G Casale, A Filieri, Quality-Aware DevOps Research: Where Do We Stand?, IEEE Access, volume 9, pp.44476–44489, 2021
- DA Tamburri, G Casale, Cognitive Distance and Research Output in Computing Education: A Case-Study, IEEE Transactions on Education, volume 62, pp.99–107, 2019
- R Buyya, SN Srirama, G Casale, R Calheiros, Y Simmhan, B Varghese, E Gelenbe, B Javadi, LM Vaquero, MAS Netto, AN Toosi, MA Rodriguez, IM Llorente, SDC Di Vimercati, P Samarati, D Milojicic, C Varela, R Bahsoon, MD De Assuncao, O Rana, W Zhou, H Jin, W Gentzsch, AY Zomaya, H Shen, A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade, ACM Computing Surveys, volume 51, 2019
- G Casale, C Li, Enhancing big data application design with the DICE framework, Proc. of ESOCC 2017, volume 824, pp.164–168, 2018
- G Casale, E Di Nitto, P Jamshidi, DA Tamburri, Quality-Aware Development of Big Data Applications with DICE, Proc. of ESOCC 2016, volume 707, pp.301–302, 2018
- W Wang, G Casale, G Iuhasz, Closing the Loop Between Ops and Dev, Model-Driven Development and Operation of Multi-Cloud Applications, pp.95–105, 2017
