2025 (5)
- Matthew Sheldon, Dario Paccagnan, Giuliano Casale, Competitive Analysis of Vehicle-Sharing Systems With Cournot Queueing Games, IEEE Transactions on Intelligent Transportation Systems, volume 26, pp.12039–12048, 2025, j99
- Xiaohu Wu, Han Yu, Giuliano Casale, Guanyu 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
- Yicheng Gao, Roberto Sala, Danilo Ardagna, Giuliano Casale, Deep Surrogate Models of Serverless Batch Processing Services, ESOCC 2025, pp.155–170, 2025, c117
- Yichong Chen, Zifeng Niu, Manuel Roveri, Giuliano Casale, CEED: Collaborative Early Exit Neural Network Inference at the Edge, INFOCOM 2025, pp.1–10, 2025, c116
- Bowen Sun, Riccardo Pinciroli, Giuliano Casale, Evgenia Smirni, DeepBAT: Performance and Cost Optimization of Serverless Inference Using Transformers, IPDPS 2025, pp.335–346, 2025, c115
2024 (15)
- L Zhu, D A Tamburri, G Casale, RADF: Architecture decomposition for function as a service, Softw. Pract. Exp., volume 54, pp.566–594, 2024
- G Casale, M Roveri, Scheduling Inputs in Early Exit Neural Networks, IEEE Trans. Computers, volume 73, pp.451–465, 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, Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024, Auckland, New Zealand, May 6-10,2024, pp.2462–2464, 2024
- Z Li, G Casale, Matrix Network Analyzer: A New Decomposition Algorithm for Phase-type Queueing Networks (Work In Progress Paper), Companion of the 15th ACM/SPEC International Conference on Performance Engineering, ICPE 2024, London, United Kingdom, May 7-11, 2024, pp.34–39, 2024
- G Casale, Optimizing Edge AI: Performance Engineering in Resource-Constrained Environments, Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, ICPE 2024, London, United Kingdom, May 7-11, 2024, pp.223, 2024
- R-A Dobre, Z Niu, G Casale, Approximating Fork-Join Systems via Mixed Model Transformations, Companion of the 15th ACM/SPEC International Conference on Performance Engineering, ICPE 2024, London, United Kingdom, May 7-11, 2024, pp.273–280, 2024
- Alim Ul Gias, Yicheng Gao, Matthew Sheldon, Jos'e A. Perusqu'ia, Owen O'Brien, Giuliano 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
- Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings, PreGAN+: Semi-Supervised Fault Prediction and Preemptive Migrationin Dynamic Mobile Edge Environments, IEEE Trans. Mob. Comput., volume 23, pp.6881–6895, 2024
- Diletta Olliaro, Giuliano Casale, Andrea Marin, Sabina Rossi, A Product-form Network for Systems with Job Stealing Policies, ACM Trans. Model. Perform. Evaluation Comput. Syst., volume 9, pp.6:1–6:26, 2024
- Giuliano Casale, Yicheng Gao, Zifeng Niu, Lulai 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
- Diletta Olliaro, Giuliano Casale, Andrea Marin, Sabina 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
- Yicheng Gao, Giuliano Casale, Rekha 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
- Zifeng Niu, Manuel Roveri, Giuliano Casale, ChainNet: A Customized Graph Neural Network Model for Loss-Aware Edge AI Service Deployment, DSN 2024, pp.238–251, 2024, c113
- Yaqi Zhou, Matthew Sheldon, Giuliano Casale, Approximating Closed Queueing Networks in Semi-Markov Random Environments, MASCOTS 2024, pp.1–8, 2024, c112
2023 (9)
- 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
- A Ul Gias, Y Gao, M Sheldon, JA Perusquía, O O’Brien, G Casale, SampleHST: Efficient On-the-Fly Selection of Distributed Traces, IEEE/IFIP Network Operations and Management Symposium, 2023
- S Tuli, G Casale, N Jennings, Learning to dynamically select cost optimal schedulers in cloud computing environments, ACM SIGMETRICS /IFIP Performance 2022, pp.29–31, 2023
- S Tuli, G Casale, N R. 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, N R. Jennings, SciNet: Codesign of Resource Management in Cloud Computing Environments, IEEE Trans. Computers, volume 72, pp.3590–3602, 2023
- J Soikkeli, G Casale, L Munoz-Gonzalez, E C. Lupu, Redundancy Planning for Cost Efficient Resilience to Cyber Attacks, IEEE Trans. Dependable Secur. Comput., volume 20, pp.1154–1168, 2023
- J Bor, G Casale, W J. Knottenbelt, E Smirni, A Stathopoulos, Fitting with matrix exponential mixtures generated by discrete probabilisticscaling, SIGMETRICS Perform. Evaluation Rev., volume 51, pp.15–17, 2023
- G Casale, Performance evaluation teaching in the age of cloud computing, SIGMETRICS Perform. Evaluation Rev., volume 51, pp.45–49, 2023
- S Tuli, S S Gill, P Garraghan, R Buyya, G Casale, N R. Jennings, START: Straggler Prediction and Mitigation for Cloud Computing EnvironmentsUsing Encoder LSTM Networks, IEEE Trans. Serv. Comput., volume 16, pp.615–627, 2023
2022 (16)
- S Tuli, G Casale, NR Jennings, SimTune: bridging the simulator reality gap for resource management in edge-cloud computing, SCIENTIFIC REPORTS, volume 12, 2022
- 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, 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, DRAGON: Decentralized fault tolerance in edge federations, IEEE Transactions on Network and Service Management, volume 20, pp.276–291, 2022
- S Tuli, G Casale, Optimizing the Performance of Fog Computing Environments Using AI and Co-Simulation, Companion of the 2022 ACM/SPEC International Conference on Performance Engineering, ICPE '22: ACM/SPEC International Conference on Performance Engineering, 2022
- S Tuli, G Casale, N Jennings, PreGAN: Preemptive migration prediction network for proactive fault-tolerant edge computing, IEEE INFOCOM 2022, pp.670–679, 2022
- M Sheldon, G Casale, TauSSA: simulating markovian queueing networks with Tau leaping, ACM SIGMETRICS Performance Evaluation Review, TOSME workshop, volume 49, pp.70–75, 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, N Jennings, TranAD: deep transformer networks for anomaly detection in multivariate time series data, Proceedings of the VLDB Endowment, VLDB 2022, volume 15, pp.1201–1214, 2022
- S Tuli, G Casale, NR Jennings, MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments, 15th IEEE International Conference on Cloud Computing (IEEE CLOUD) / IEEE World Congress on Services (IEEE SERVICES), pp.331–341, 2022
- G Casale, Y Gao, Z Niu, L Zhu, LN: A Meta-solver for Layered Queueing Network Analysis, QUANTITATIVE EVALUATION OF SYSTEMS (QEST 2022), 19th International Conference on Quantitative Evaluation Systems (QEST), volume 13479, pp.232–254, 2022
- Y Gao, G Casale, JCSP: Joint Caching and Service Placement for Edge Computing Systems, 30th IEEE/ACM International Symposium on Quality of Service (IWQoS), 2022
- R Wang, G Casale, A Filieri, Enhancing Performance Modeling of Serverless Functions via Static Analysis, SERVICE-ORIENTED COMPUTING (ICSOC 2022), 20th International Conference on Service-Oriented Computing (ICSOC), volume 13740, pp.71–88, 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, G Casale, NR Jennings, CAROL: Confidence-Aware Resilience Model for Edge Federations, 2022 52ND ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS (DSN 2022), 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), pp.28–40, 2022
2021 (11)
- 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
- G Casale, PG Harrison, WH Ong, Facilitating load-dependent queueing analysis through factorization, PERFORMANCE EVALUATION, volume 152, 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
- I Perez, G Casale, Variational Inference For Markovian Queueing Networks, ADVANCES IN APPLIED PROBABILITY, volume 53, pp.687–715, 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
- R Wang, G Casale, A Filieri, Service Demand Distribution Estimation for Microservices Using Markovian Arrival Processes, QUANTITATIVE EVALUATION OF SYSTEMS (QEST 2021), 18th International Conference on Quantitative Evaluation Systems (QEST), volume 12846, pp.310–328, 2021
- L Zhu, G Giotis, V Tountopoulos, G Casale, RDOF: Deployment Optimization for Function as a Service, 2021 IEEE 14TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD 2021), IEEE 14th International Conference on Cloud Computing (CLOUD), pp.508–514, 2021
- 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
- GR Russo, V Cardellini, G Casale, F Lo Presti, MEAD: Model-Based Vertical Auto-Scaling for Data Stream Processing, 21ST IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING (CCGRID 2021), 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), pp.314–323, 2021
- Y Chen, G Casale, Deep Learning Models for Automated Identification of Scheduling Policies, 29TH INTERNATIONAL SYMPOSIUM ON THE MODELING, ANALYSIS, AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (MASCOTS 2021), 29th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), pp.1–8, 2021
- Z Niu, G Casale, A Mixture Density Network Approach to Predicting Response Times in Layered Systems, 29TH INTERNATIONAL SYMPOSIUM ON THE MODELING, ANALYSIS, AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (MASCOTS 2021), 29th International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), pp.104–111, 2021
2020 (9)
- 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
- L Zhu, G Casale, I Perez, Fluid approximation of closed queueing networks with discriminatory processor sharing, PERFORMANCE EVALUATION, volume 139, 2020
- A Alnafessah, G Casale, AI Driven Methodology for Anomaly Detection in Apache Spark Streaming Systems, 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS), 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS), 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, PROCEEDINGS OF THE 13TH EAI INTERNATIONAL CONFERENCE ON PERFORMANCE EVALUATION METHODOLOGIES AND TOOLS ( VALUETOOLS 2020), 13th EAI International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS), pp.188–191, 2020
- AU Gias, A van Hoorn, L Zhu, G Casale, TF Duellmann, M Wurster, Performance Engineering for Microservices and Serverless Applications: The RADON Approach, ICPE'20: COMPANION OF THE ACM/SPEC INTERNATIONAL CONFERENCE ON PERFORMANCE ENGINEERING, 11th ACM/SPEC International Conference on Performance Engineering (ICPE), pp.46–49, 2020
- G Casale, Integrated performance evaluation of extended queueing network models with LINE, 2020 WINTER SIMULATION CONFERENCE (WSC), Winter Simulation Conference, pp.2377–2388, 2020
- Alim Ul Gias andGiuliano Casale, COCOA: Cold Start Aware Capacity Planning for Function-as-a-ServicePlatforms, 28th International Symposium on Modeling, Analysis, and Simulationof Computer and Telecommunication Systems, MASCOTS 2020, Nice, France,November 17-19, 2020, pp.1–8, 2020
2019 (9)
- 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
- G Casale, P Harrison, O Wai Hong, Novel solutions for closed queueing networks with load-dependent stations, Workshop on MAthematical performance Modeling and Analysis (MAMA), volume 47, 2019
- A Alnafessah, G Casale, Artificial neural networks based techniques for anomaly detection in Apache Spark, CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, volume 23, pp.1345–1360, 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
- 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
- G Casale, Automated Multi-paradigm Analysis of Extended and Layered Queueing Models with LINE, COMPANION OF THE 2019 ACM/SPEC INTERNATIONAL CONFERENCE ON PERFORMANCE ENGINEERING (ICPE '19), 10th ACM/SPEC International Conference on Performance Engineering (ICPE), pp.37–38, 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
- S Dipietro, G Casale, SD: a Divergence-based Estimation Method for Service Demands in Cloud Systems, 2019 7TH INTERNATIONAL CONFERENCE ON FUTURE INTERNET OF THINGS AND CLOUD (FICLOUD 2019), 7th International Conference on Future Internet of Things and Cloud (FiCloud), pp.197–204, 2019
- Alim Ul Gias andGiuliano Casale andC. Murray Woodside, ATOM: Model-Driven Autoscaling for Microservices, 39th IEEE International Conference on Distributed Computing Systems,ICDCS 2019, Dallas, TX, USA, July 7-10, 2019, pp.1994–2004, 2019
2018 (6)
- 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, C Li, Enhancing big data application design with the DICE framework, Communications in Computer and Information Science, ESOCC 2017: Advances in Service-Oriented and Cloud Computing, volume 824, pp.164–168, 2018
- G Casale, Analyzing replacement policies in list-based caches with non-uniform access costs, IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2018), 37th IEEE Conference on Computer Communications (IEEE INFOCOM), pp.432–440, 2018
- A Alnafessah, G Casale, A Neural-Network Driven Methodology for Anomaly Detection in Apache Spark, 2018 11TH INTERNATIONAL CONFERENCE ON THE QUALITY OF INFORMATION AND COMMUNICATIONS TECHNOLOGY (QUATIC), 11th International Conference on the Quality of Information and Communications Technology (QUATIC), pp.201–209, 2018
- S Dipietro, R Buyya, G Casale, PAX: Partition-Aware Autoscaling for the Cassandra NoSQL Database, NOMS 2018 - 2018 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, IEEE/IFIP Network Operations and Management Symposium (NOMS), 2018
- G Casale, E Di Nitto, P Jamshidi, DA Tamburri, Quality-Aware Development of Big Data Applications with DICE, ADVANCES IN SERVICE-ORIENTED AND CLOUD COMPUTING (ESOCC 2016), 5th IFIP WG 2.14 European Conference on Service-Oriented and Cloud Computing (ESOCC), volume 707, pp.301–302, 2018
2017 (13)
- G Casale, G Serazzi, L Zhu, Performance evaluation with java modelling tools: a hands-on introduction, ACM SIGMETRICS Performance Evaluation Review, IFIP Performance, volume 45, pp.246–247, 2017
- JF Pérez, G Casale, LINE : evaluating software applications in unreliable environments, IEEE Transactions on Reliability, volume 66, pp.837–853, 2017
- M Karsten, G Casale, Energy-efficient resource allocation and provisioning for in-memory database clusters, 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), IEEE/IFIP IM International Symposium on Integrated Network Management, 2017
- G Casale, Accelerating performance inference over closed systems by asymptotic methods, Proceedings of the ACM on Measurement and Analysis of Computing Systems, ACM SIGMETRICS, volume 1, pp.64–64, 2017
- S Dipietro, G Casale, G Serazzi, A Queueing Network Model for Performance Prediction of Apache Cassandra, VALUETOOLS'16 proceedings of the 10th EAI International Conference on Performance Evaluation Methodologies and Tools on 10th EAI International Conference on Performance Evaluation Methodologies and Tools, 10th EAI International Conference on Performance Evaluation Methodologies and Tools, pp.186–193, 2017
- G Casale, A note on integrating products of linear forms over the unit simplex, 2017
- C Li, G Casale, Performance-Aware Refactoring of Cloud-based Big Data Applications, PROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), International Conference on Computational Science and Computational Intelligence (CSCI), pp.1505–1510, 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, QUANTITATIVE EVALUATION OF SYSTEMS (QEST 2017), 14th International Conference on Quantitative Evaluation Systems (QEST), 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
- 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, 2017 IEEE 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 10th IEEE International Conference on Cloud Computing (CLOUD), pp.278–285, 2017
- 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
2016 (7)
- 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
- 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
- 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
- DJ Dubois, C Trubiani, G Casale, Model-driven Application Refactoring to Minimize Deployment Costs in Preemptible Cloud Resources, PROCEEDINGS OF 2016 IEEE 9TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 9th IEEE International Conference on Cloud Computing (CLOUD), pp.335–342, 2016
- K Molka, G Casale, Efficient Memory Occupancy Models for In-Memory Databases, 2016 IEEE 24TH INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (MASCOTS), 24th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), pp.430–432, 2016
- P Jamshidi, G Casale, An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing Systems, 2016 IEEE 24TH INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (MASCOTS), 24th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), pp.39–48, 2016
- R Osman, JF Perez, G Casale, Quantifying the Impact of Replication on the Quality-of-Service in Cloud Databases, 2016 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY (QRS 2016), IEEE International Conference on Software Quality, Reliability and Security (QRS), pp.286–297, 2016
