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ORCIDGiuliano Casale
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- affiliation: Imperial College London, UK
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2020 – today
- 2024
[j96]Alim Ul Gias, Yicheng Gao, Matthew Sheldon, José A. Perusquía, 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. 32(3): 44 (2024)- [j95]Lulai Zhu
, Damian Andrew Tamburri, Giuliano Casale:
RADF: Architecture decomposition for function as a service. Softw. Pract. Exp. 54(4): 566-594 (2024) - [j94]Giuliano Casale, Manuel Roveri:
Scheduling Inputs in Early Exit Neural Networks. IEEE Trans. Computers 73(2): 451-465 (2024) - [j93]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
PreGAN+: Semi-Supervised Fault Prediction and Preemptive Migration in Dynamic Mobile Edge Environments. IEEE Trans. Mob. Comput. 23(6): 6881-6895 (2024) - [j92]Giuliano Casale, Yicheng Gao, Zifeng Niu, Lulai Zhu:
LN: A Flexible Algorithmic Framework for Layered Queueing Network Analysis. ACM Trans. Model. Comput. Simul. 34(3): 17:1-17:26 (2024) - [j91]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. 9(2): 6:1-6:26 (2024) - [j90]Zifeng Niu, Giuliano Casale:
Neural Density Estimation of Response Times in Layered Software Systems. IEEE Trans. Software Eng. 50(3): 636-650 (2024) - [c112]Matthew Sheldon, Dario Paccagnan, Giuliano Casale:
Cournot Queueing Games with Applications to Mobility Systems. AAMAS 2024: 2462-2464 - [c111]Zifeng Niu, Manuel Roveri, Giuliano Casale:
ChainNet: A Customized Graph Neural Network Model for Loss-Aware Edge AI Service Deployment. DSN 2024: 238-251 - [c110]Zhuoyuan Li, Giuliano Casale:
Matrix Network Analyzer: A New Decomposition Algorithm for Phase-type Queueing Networks (Work In Progress Paper). ICPE (Companion) 2024: 34-39 - [c109]Giuliano Casale:
Optimizing Edge AI: Performance Engineering in Resource-Constrained Environments. ICPE 2024: 223 - [c108]Rares-Andrei Dobre, Zifeng Niu, Giuliano Casale:
Approximating Fork-Join Systems via Mixed Model Transformations. ICPE (Companion) 2024: 273-280 - 2023
- [j89]Shreshth Tuli, Fatemeh Mirhakimi, Samodha Pallewatta, Syed Zawad, Giuliano Casale, Bahman Javadi, Feng Yan, Rajkumar Buyya, Nicholas R. Jennings:
AI augmented Edge and Fog computing: Trends and challenges. J. Netw. Comput. Appl. 216: 103648 (2023) - [j88]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
Learning to Dynamically Select Cost Optimal Schedulers in Cloud Computing Environments. SIGMETRICS Perform. Evaluation Rev. 50(4): 29-31 (2023) - [j87]Julianna Bor, Giuliano Casale, William J. Knottenbelt, Evgenia Smirni, Andreas Stathopoulos:
Fitting with matrix exponential mixtures generated by discrete probabilistic scaling. SIGMETRICS Perform. Evaluation Rev. 51(2): 15-17 (2023) - [j86]Giuliano Casale:
Performance evaluation teaching in the age of cloud computing. SIGMETRICS Perform. Evaluation Rev. 51(2): 45-49 (2023) - [j85]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
SciNet: Codesign of Resource Management in Cloud Computing Environments. IEEE Trans. Computers 72(12): 3590-3602 (2023) - [j84]Jukka Soikkeli, Giuliano Casale, Luis Muñoz-González, Emil C. Lupu:
Redundancy Planning for Cost Efficient Resilience to Cyber Attacks. IEEE Trans. Dependable Secur. Comput. 20(2): 1154-1168 (2023) - [j83]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments. IEEE Trans. Mob. Comput. 22(9): 5539-5554 (2023) - [j82]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
DRAGON: Decentralized Fault Tolerance in Edge Federations. IEEE Trans. Netw. Serv. Manag. 20(1): 276-291 (2023) - [j81]Nur Zincir-Heywood, Robert Birke, Elias Bou-Harb, Giuliano Casale, Khalil El-Khatib, Takeru Inoue, Neeraj Kumar, Hanan Lutfiyya, Deepak Puthal, Abdallah Shami, Natalia Stakhanova, Farhana H. Zulkernine:
Guest Editorial: Special Section on Machine Learning and Artificial Intelligence for Managing Networks, Systems, and Services - Part II. IEEE Trans. Netw. Serv. Manag. 20(2): 882-889 (2023) - [j80]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
CILP: Co-Simulation-Based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments. IEEE Trans. Netw. Serv. Manag. 20(4): 4448-4460 (2023) - [j79]Runan Wang, Giuliano Casale, Antonio Filieri:
Estimating Multiclass Service Demand Distributions Using Markovian Arrival Processes. ACM Trans. Model. Comput. Simul. 33(1-2): 2:1-2:26 (2023) - [j78]Xiaohu Wu, Francesco De Pellegrini, Giuliano Casale:
Delay and Price Differentiation in Cloud Computing: A Service Model, Supporting Architectures, and Performance. ACM Trans. Model. Perform. Evaluation Comput. Syst. 8(3): 1-40 (2023) - [j77]Shreshth Tuli, Sukhpal Singh Gill, Peter Garraghan, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings:
START: Straggler Prediction and Mitigation for Cloud Computing Environments Using Encoder LSTM Networks. IEEE Trans. Serv. Comput. 16(1): 615-627 (2023) - [c107]Yichong Chen, Manuel Roveri, Shreshth Tuli, Giuliano Casale:
Coupling QoS Co-Simulation with Online Adaptive Arrival Forecasting. CNSM 2023: 1-9 - [c106]Shreshth Tuli, Giuliano Casale, Ludmila Cherkasova, Nicholas R. Jennings:
DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model. INFOCOM 2023: 1-10 - [c105]Alim Ul Gias, Yicheng Gao, Matthew Sheldon, José A. Perusquía, Owen O'Brien, Giuliano Casale:
SampleHST: Efficient On-the-Fly Selection of Distributed Traces. NOMS 2023: 1-9 - [c104]William Plumb, Alex Bottle, Giuliano Casale, Alex Liddle:
Clinical Pathway Clustering Using Surrogate Likelihoods and Replayability Validation. WSC 2023: 1220-1231 - [i28]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
CILP: Co-simulation based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments. CoRR abs/2302.05630 (2023) - 2022
- [j76]Shreshth Tuli, Sukhpal Singh Gill, Minxian Xu, Peter Garraghan, Rami Bahsoon, Schahram Dustdar, Rizos Sakellariou, Omer F. Rana, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings:
HUNTER: AI based holistic resource management for sustainable cloud computing. J. Syst. Softw. 184: 111124 (2022) - [j75]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data. Proc. VLDB Endow. 15(6): 1201-1214 (2022) - [j74]Giuliano Casale, Peter G. Harrison, Wai Hong Ong:
Facilitating Load-Dependent Queueing Analysis Through Factorization (Extended Abstract). SIGMETRICS Perform. Evaluation Rev. 49(3): 51-52 (2022) - [j73]Matthew Sheldon, Giuliano Casale:
TauSSA: Simulating Markovian Queueing Networks with Tau Leaping. SIGMETRICS Perform. Evaluation Rev. 49(4): 70-75 (2022) - [j72]Nur Zincir-Heywood, Robert Birke, Elias Bou-Harb, Giuliano Casale, Khalil El-Khatib, Takeru Inoue, Neeraj Kumar, Hanan Lutfiyya, Deepak Puthal, Abdallah Shami, Natalia Stakhanova, Farhana H. Zulkernine:
Guest Editorial: Special Issue on Machine Learning and Artificial Intelligence for Managing Networks, Systems, and Services - Part I. IEEE Trans. Netw. Serv. Manag. 19(4): 3988-3994 (2022) - [j71]Shreshth Tuli, Shivananda R. Poojara, Satish Narayana Srirama, Giuliano Casale, Nicholas R. Jennings:
COSCO: Container Orchestration Using Co-Simulation and Gradient Based Optimization for Fog Computing Environments. IEEE Trans. Parallel Distributed Syst. 33(1): 101-116 (2022) - [j70]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems. IEEE Trans. Parallel Distributed Syst. 33(11): 2794-2807 (2022) - [j69]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments. IEEE Trans. Parallel Distributed Syst. 33(11): 2821-2833 (2022) - [c103]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments. CLOUD 2022: 331-341 - [c102]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
CAROL: Confidence-Aware Resilience Model for Edge Federations. DSN 2022: 28-40 - [c101]Runan Wang, Giuliano Casale, Antonio Filieri:
Enhancing Performance Modeling of Serverless Functions via Static Analysis. ICSOC 2022: 71-88 - [c100]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing. INFOCOM 2022: 670-679 - [c99]Yicheng Gao, Giuliano Casale:
JCSP: Joint Caching and Service Placement for Edge Computing Systems. IWQoS 2022: 1-10 - [c98]Giuliano Casale, Yicheng Gao, Zifeng Niu, Lulai Zhu:
LN: A Meta-solver for Layered Queueing Network Analysis. QEST 2022: 232-254 - [c97]Shreshth Tuli, Giuliano Casale:
Optimizing the Performance of Fog Computing Environments Using AI and Co-Simulation. ICPE (Companion) 2022: 25-28 - [i27]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data. CoRR abs/2201.07284 (2022) - [i26]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
CAROL: Confidence-Aware Resilience Model for Edge Federations. CoRR abs/2203.07140 (2022) - [i25]Yicheng Gao, Giuliano Casale:
JCSP: Joint Caching and Service Placement for Edge Computing Systems. CoRR abs/2205.04575 (2022) - [i24]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments. CoRR abs/2205.10635 (2022) - [i23]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
Learning to Dynamically Select Cost Optimal Schedulers in Cloud Computing Environments. CoRR abs/2205.10640 (2022) - [i22]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments. CoRR abs/2205.10642 (2022) - [i21]Shreshth Tuli, Fatemeh Mirhakimi, Samodha Pallewatta, Syed Zawad, Giuliano Casale, Bahman Javadi, Feng Yan, Rajkumar Buyya, Nicholas R. Jennings:
AI Augmented Edge and Fog Computing: Trends and Challenges. CoRR abs/2208.00761 (2022) - [i20]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
DRAGON: Decentralized Fault Tolerance in Edge Federations. CoRR abs/2208.07658 (2022) - [i19]Alim Ul Gias, Yicheng Gao, Matthew Sheldon, José A. Perusquía, Owen O'Brien, Giuliano Casale:
SampleHST: Efficient On-the-Fly Selection of Distributed Traces. CoRR abs/2210.04595 (2022) - [i18]Shreshth Tuli, Giuliano Casale, Ludmila Cherkasova, Nicholas R. Jennings:
DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model. CoRR abs/2212.01302 (2022) - 2021
- [j68]Ahmad Alnafessah, Alim Ul Gias, Runan Wang, Lulai Zhu, Giuliano Casale, Antonio Filieri:
Quality-Aware DevOps Research: Where Do We Stand? IEEE Access 9: 44476-44489 (2021) - [j67]Giuliano Casale, Peter G. Harrison, Wai Hong Ong:
Facilitating load-dependent queueing analysis through factorization. Perform. Evaluation 152: 102241 (2021) - [j66]Nur Zincir-Heywood, Giuliano Casale, David Carrera, Lydia Y. Chen, Amogh Dhamdhere, Takeru Inoue, Hanan Lutfiyya, Taghrid Samak:
Guest Editorial: Special Issue on Data Analytics and Machine Learning for Network and Service Management - Part II. IEEE Trans. Netw. Serv. Manag. 18(1): 775-779 (2021) - [j65]Hanan Lutfiyya, Robert Birke, Giuliano Casale, Amogh Dhamdhere, Jinho Hwang, Takeru Inoue, Neeraj Kumar, Deepak Puthal, Nur Zincir-Heywood:
Guest Editorial: Special Section on Embracing Artificial Intelligence for Network and Service Management. IEEE Trans. Netw. Serv. Manag. 18(4): 3936-3941 (2021) - [j64]Giuliano Casale, Nicolas Gast:
Performance Analysis Methods for List-Based Caches With Non-Uniform Access. IEEE/ACM Trans. Netw. 29(2): 651-664 (2021) - [c96]Lulai Zhu, Giorgos Giotis, Vasilis Tountopoulos, Giuliano Casale:
RDOF: Deployment Optimization for Function as a Service. CLOUD 2021: 508-514 - [c95]Gabriele Russo Russo, Valeria Cardellini, Giuliano Casale, Francesco Lo Presti:
MEAD: Model-Based Vertical Auto-Scaling for Data Stream Processing. CCGRID 2021: 314-323 - [c94]Yichong Chen, Giuliano Casale:
Deep Learning Models for Automated Identification of Scheduling Policies. MASCOTS 2021: 1-8 - [c93]Zifeng Niu, Giuliano Casale:
A Mixture Density Network Approach to Predicting Response Times in Layered Systems. MASCOTS 2021: 1-8 - [c92]Runan Wang, Giuliano Casale, Antonio Filieri:
Service Demand Distribution Estimation for Microservices Using Markovian Arrival Processes. QEST 2021: 310-328 - [e7]Christian Zirpins, Iraklis Paraskakis, Vasilios Andrikopoulos, Nane Kratzke, Claus Pahl, Nabil El Ioini, Andreas S. Andreou, George Feuerlicht, Winfried Lamersdorf, Guadalupe Ortiz, Willem-Jan van den Heuvel, Jacopo Soldani, Massimo Villari, Giuliano Casale, Pierluigi Plebani:
Advances in Service-Oriented and Cloud Computing - International Workshops of ESOCC 2020, Heraklion, Crete, Greece, September 28-30, 2020, Revised Selected Papers. Communications in Computer and Information Science 1360, Springer 2021, ISBN 978-3-030-71905-0 [contents] - [d1]Giuliano Casale, Peter G. Harrison, Wai Hong Ong:
Facilitating load-dependent queueing analysis through factorization. Zenodo, 2021
- [i17]Shreshth Tuli, Shivananda R. Poojara, Satish Narayana Srirama, Giuliano Casale, Nicholas R. Jennings:
COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments. CoRR abs/2104.14392 (2021) - [i16]Xiaohu Wu, Han Yu, Giuliano Casale, Guanyu Gao:
Towards Cost-Optimal Policies for DAGs to Utilize IaaS Clouds with Online Learning. CoRR abs/2106.01847 (2021) - [i15]Shreshth Tuli, Shikhar Tuli, Giuliano Casale, Nicholas R. Jennings:
Generative Optimization Networks for Memory Efficient Data Generation. CoRR abs/2110.02912 (2021) - [i14]Shreshth Tuli, Sukhpal Singh Gill, Minxian Xu, Peter Garraghan, Rami Bahsoon, Schahram Dustdar, Rizos Sakellariou, Omer F. Rana, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings:
HUNTER: AI based Holistic Resource Management for Sustainable Cloud Computing. CoRR abs/2110.05529 (2021) - [i13]Shreshth Tuli, Sukhpal Singh Gill, Peter Garraghan, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings:
START: Straggler Prediction and Mitigation for Cloud Computing Environments using Encoder LSTM Networks. CoRR abs/2111.10241 (2021) - [i12]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing. CoRR abs/2112.02292 (2021) - [i11]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems. CoRR abs/2112.07269 (2021) - [i10]Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments. CoRR abs/2112.08916 (2021) - 2020
- [j63]Ahmad Alnafessah, Giuliano Casale:
TRACK-Plus: Optimizing Artificial Neural Networks for Hybrid Anomaly Detection in Data Streaming Systems. IEEE Access 8: 146613-146626 (2020) - [j62]Ahmad Alnafessah, Giuliano Casale:
Artificial neural networks based techniques for anomaly detection in Apache Spark. Clust. Comput. 23(2): 1345-1360 (2020) - [j61]Ahmad Alnafessah, Giuliano Casale:
Correction to: Artificial neural networks based techniques for anomaly detection in Apache Spark. Clust. Comput. 23(2): 1361-1362 (2020) - [j60]Giuliano Casale, Matej Artac, Willem-Jan van den Heuvel, André van Hoorn, Pelle Jakovits, Frank Leymann, M. Long, V. Papanikolaou, Domenico Presenza, Alessandra Russo, Satish Narayana Srirama, Damian A. Tamburri, Michael Wurster, Lulai Zhu:
RADON: rational decomposition and orchestration for serverless computing. SICS Softw.-Intensive Cyber Phys. Syst. 35(1-2): 77-87 (2020) - [j59]Shreshth Tuli, Sukhpal Singh Gill, Giuliano Casale, Nicholas R. Jennings:
iThermoFog: IoT-Fog based automatic thermal profile creation for cloud data centers using artificial intelligence techniques. Internet Technol. Lett. 3(5) (2020) - [j58]Andrea Marin, Giuliano Casale, Dorina C. Petriu, Sabina Rossi:
Guest editor's forewords: Special issue on Valuetools 2017. Perform. Evaluation 137 (2020) - [j57]Lulai Zhu, Giuliano Casale, Iker Perez:
Fluid approximation of closed queueing networks with discriminatory processor sharing. Perform. Evaluation 139: 102094 (2020) - [j56]Nur Zincir-Heywood, Giuliano Casale, David Carrera, Lydia Y. Chen, Amogh Dhamdhere, Takeru Inoue, Hanan Lutfiyya, Taghrid Samak:
Guest Editorial: Special Section on Data Analytics and Machine Learning for Network and Service Management-Part I. IEEE Trans. Netw. Serv. Manag. 17(4): 1971-1974 (2020) - [c91]Alim Ul Gias, Giuliano Casale:
COCOA: Cold Start Aware Capacity Planning for Function-as-a-Service Platforms. MASCOTS 2020: 1-8 - [c90]Ahmad S. Alnafessah, Giuliano Casale:
TRACK: Optimizing Artificial Neural Networks for Anomaly Detection in Spark Streaming Systems. VALUETOOLS 2020: 188-191 - [c89]Alim Ul Gias, André van Hoorn, Lulai Zhu, Giuliano Casale, Thomas F. Düllmann, Michael Wurster:
Performance Engineering for Microservices and Serverless Applications: The RADON Approach. ICPE Companion 2020: 46-49 - [c88]Giuliano Casale:
Integrated Performance Evaluation of Extended Queueing Network Models with Line. WSC 2020: 2377-2388 - [i9]Alim Ul Gias, Giuliano Casale:
COCOA: Cold Start Aware Capacity Planning for Function-as-a-Service Platforms. CoRR abs/2007.01222 (2020) - [i8]Xiaohu Wu, Francesco De Pellegrini, Giuliano Casale:
Delay and Price Differentiation in Cloud Computing: A Service Model, Supporting Architectures, and Performance. CoRR abs/2007.15314 (2020)
2010 – 2019
- 2019
- [j55]Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale, Rodrigo N. Calheiros, Yogesh Simmhan, Blesson Varghese, Erol Gelenbe, Bahman Javadi, Luis Miguel Vaquero, Marco A. S. Netto, Adel Nadjaran Toosi, Maria Alejandra Rodriguez, Ignacio Martín Llorente, Sabrina De Capitani di Vimercati, Pierangela Samarati, Dejan S. Milojicic, Carlos A. Varela, Rami Bahsoon, Marcos Dias de Assunção, Omer F. Rana, Wanlei Zhou, Hai Jin, Wolfgang Gentzsch, Albert Y. Zomaya, Haiying Shen:
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. ACM Comput. Surv. 51(5): 105:1-105:38 (2019) - [j54]Sukhpal Singh Gill, Peter Garraghan, Vlado Stankovski, Giuliano Casale, Ruppa K. Thulasiram, Soumya K. Ghosh, Kotagiri Ramamohanarao, Rajkumar Buyya:
Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge. J. Syst. Softw. 155: 104-129 (2019) - [j53]Giuliano Casale, Peter G. Harrison, Ong Wai Hong:
Novel Solutions for Closed Queueing Networks with Load-Dependent Stations. SIGMETRICS Perform. Evaluation Rev. 47(2): 30-32 (2019) - [j52]Damian A. Tamburri, Giuliano Casale:
Cognitive Distance and Research Output in Computing Education: A Case-Study. IEEE Trans. Educ. 62(2): 99-107 (2019) - [j51]David Carrera, Giuliano Casale, Takeru Inoue, Hanan Lutfiyya, Jia Wang, Nur Zincir-Heywood:
Guest Editorial: Special Issue on Novel Techniques in Big Data Analytics for Management. IEEE Trans. Netw. Serv. Manag. 16(3): 797-799 (2019) - [j50]Xiaohu Wu, Francesco De Pellegrini, Guanyu Gao, Giuliano Casale:
A Framework for Allocating Server Time to Spot and On-Demand Services in Cloud Computing. ACM Trans. Model. Perform. Evaluation Comput. Syst. 4(4): 20:1-20:31 (2019) - [c87]Salvatore Dipietro, Giuliano Casale:
SD: A Divergence-Based Estimation Method for Service Demands in Cloud Systems. FiCloud 2019: 197-204 - [c86]Alim Ul Gias, Giuliano Casale, C. Murray Woodside:
ATOM: Model-Driven Autoscaling for Microservices. ICDCS 2019: 1994-2004 - [c85]Giuliano Casale:
Automated Multi-paradigm Analysis of Extended and Layered Queueing Models with LINE. ICPE Companion 2019: 37-38 - [i7]Xiaohu Wu, Francesco De Pellegrini, Guanyu Gao, Giuliano Casale:
A Framework for Allocating Server Time to Spot and On-demand Services in Cloud Computing. CoRR abs/1902.01321 (2019) - 2018
- [j49]Giuliano Casale, Yixin Diao, Marco Mellia, Rajiv Ranjan, Nur Zincir-Heywood:
Guest Editorial: Special Section on Advances in Big Data Analytics for Management. IEEE Trans. Netw. Serv. Manag. 15(1): 10-12 (2018) - [j48]Weikun Wang, Giuliano Casale, Ajay Kattepur, Manoj Nambiar:
QMLE: A Methodology for Statistical Inference of Service Demands from Queueing Data. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3(4): 17:1-17:28 (2018) - [c84]Ahmad Alnafessah, Giuliano Casale:
Anomaly Detection for Big Data Technologies. ICCSW 2018: 8:1-8:1 - [c83]Giuliano Casale:
Analyzing Replacement Policies in List-Based Caches with Non-Uniform Access Costs. INFOCOM 2018: 432-440 - [c82]Salvatore Dipietro, Rajkumar Buyya, Giuliano Casale:
PAX: Partition-aware autoscaling for the Cassandra NoSQL database. NOMS 2018: 1-9 - [c81]Ahmad Alnafessah, Giuliano Casale:
A Neural-Network Driven Methodology for Anomaly Detection in Apache Spark. QUATIC 2018: 201-209 - [i6]Iker Perez, Giuliano Casale:
Approximate Bayesian inference with queueing networks and coupled jump processes. CoRR abs/1807.08673 (2018) - 2017
- [j47]Gabor Kecskemeti, Giuliano Casale, Devki Nandan Jha, Justin Lyon, Rajiv Ranjan:
Modelling and Simulation Challenges in Internet of Things. IEEE Cloud Comput. 4(1): 62-69 (2017) - [j46]Giuliano Casale:
Accelerating Performance Inference over Closed Systems by Asymptotic Methods. Proc. ACM Meas. Anal. Comput. Syst. 1(1): 8:1-8:25 (2017) - [j45]Giuliano Casale, Giuseppe Serazzi, Lulai Zhu:
Performance Evaluation with Java Modelling Tools: : A Hands-on Introduction. SIGMETRICS Perform. Evaluation Rev. 45(3): 246-247 (2017) - [j44]Juan F. Pérez, Giuliano Casale:
Line: Evaluating Software Applications in Unreliable Environments. IEEE Trans. Reliab. 66(3): 837-853 (2017) - [c80]Feng Yan, Lihua Ren, Daniel J. Dubois, Giuliano Casale, Jiawei Wen, Evgenia Smirni:
How to Supercharge the Amazon T2: Observations and Suggestions. CLOUD 2017: 278-285 - [c79]Giuliano Casale, Chen Li:
Enhancing Big Data Application Design with the DICE Framework. ESOCC Workshops 2017: 164-168 - [c78]Karsten Molka, Giuliano Casale:
Energy-efficient resource allocation and provisioning for in-memory database clusters. IM 2017: 19-27 - [c77]Chen Li, Taghreed Altamimi, Mana Hassanzadeh Zargari, Giuliano Casale, Dorina C. Petriu:
Tulsa: A Tool for Transforming UML to Layered Queueing Networks for Performance Analysis of Data Intensive Applications. QEST 2017: 295-299 - [c76]Giuliano Casale:
Accelerating Performance Inference over Closed Systems by Asymptotic Methods. SIGMETRICS (Abstracts) 2017: 64 - [c75]Giuliano Casale, Mattia Cazzoli, Shuai Jiang, Vitor S. Lopes, Giuseppe Serazzi, Lulai Zhu:
Generalized Synchronizations and Capacity Constraints for Java Modelling Tools. ICPE 2017: 169-170 - [e6]Andrea Marin, Benny Van Houdt, Giuliano Casale, Dorina C. Petriu, Sabina Rossi:
Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2017, Venice, Italy, December 05-07, 2017. ACM 2017 [contents] - [i5]Giuliano Casale:
A note on integrating products of linear forms over the unit simplex. CoRR abs/1704.05867 (2017) - [i4]Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale, Rodrigo N. Calheiros, Yogesh Simmhan, Blesson Varghese, Erol Gelenbe, Bahman Javadi, Luis Miguel Vaquero, Marco A. S. Netto, Adel Nadjaran Toosi, Maria Alejandra Rodriguez, Ignacio Martín Llorente, Sabrina De Capitani di Vimercati, Pierangela Samarati, Dejan S. Milojicic, Carlos A. Varela, Rami Bahsoon, Marcos Dias de Assunção, Omer F. Rana, Wanlei Zhou, Hai Jin, Wolfgang Gentzsch, Albert Y. Zomaya, Haiying Shen:
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade. CoRR abs/1711.09123 (2017) - 2016
- [j43]Daniel J. Dubois, Giuliano Casale:
OptiSpot: minimizing application deployment cost using spot cloud resources. Clust. Comput. 19(2): 893-909 (2016) - [j42]Giuliano Casale, Andrea Sansottera, Paolo Cremonesi:
Compact Markov-modulated models for multiclass trace fitting. Eur. J. Oper. Res. 255(3): 822-833 (2016) - [j41]Giuliano Casale, Yixin Diao, Hanan Lutfiyya, Philippe Owezarski, Danny Raz:
Guest Editors' Introduction: Special Issue on Big Data Analytics for Management. IEEE Trans. Netw. Serv. Manag. 13(3): 578-580 (2016) - [j40]Giuliano Casale, Vittoria De Nitto Persone, Evgenia Smirni:
QRF: An Optimization-Based Framework for Evaluating Complex Stochastic Networks. ACM Trans. Model. Comput. Simul. 26(3): 15:1-15:24 (2016) - [j39]Weikun Wang, Giuliano Casale, Charles Sutton:
A Bayesian Approach to Parameter Inference in Queueing Networks. ACM Trans. Model. Comput. Simul. 27(1): 2 (2016) - [j38]Karsten Molka, Giuliano Casale:
Contention-Aware Workload Placement for In-Memory Databases in Cloud Environments. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2(1): 1:1-1:29 (2016) - [c74]Daniel J. Dubois, Catia Trubiani, Giuliano Casale:
Model-Driven Application Refactoring to Minimize Deployment Costs in Preemptible Cloud Resources. CLOUD 2016: 335-342 - [c73]Giuliano Casale, Cristina Chesta, Peter Deussen, Elisabetta Di Nitto, Panagiotis Gouvas, Sotiris Koussouris, Vlado Stankovski, Andreas L. Symeonidis, Vlassis Vlassiou, Anastasios Zafeiropoulos, Zhiming Zhao:
Current and Future Challenges of Software Engineering for Services and Applications. Cloud Forward 2016: 34-42 - [c72]Pooyan Jamshidi, Giuliano Casale:
An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing Systems. MASCOTS 2016: 39-48 - [c71]Karsten Molka, Giuliano Casale:
Efficient Memory Occupancy Models for In-memory Databases. MASCOTS 2016: 430-432 - [c70]Rasha Osman, Juan F. Pérez, Giuliano Casale:
Quantifying the Impact of Replication on the Quality-of-Service in Cloud Databases. QRS 2016: 286-297 - [c69]Salvatore Dipietro, Giuliano Casale, Giuseppe Serazzi:
A Queueing Network Model for Performance Prediction of Apache Cassandra. VALUETOOLS 2016 - [c68]Daniel J. Dubois, Giuliano Casale:
Performance Prediction for Burstable Cloud Resources. VALUETOOLS 2016 - [c67]Weikun Wang, Giuliano Casale, Ajay Kattepur, Manoj Nambiar:
Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data. ICPE 2016: 3-14 - [c66]Giuliano Casale:
Performance Engineering for In-Memory Databases: Models, Experiments and Optimization. ICPE Companion 2016: 13 - [c65]Giuliano Casale, Simon Spinner, Weikun Wang:
Automated Parameterization of Performance Models from Measurements. ICPE 2016: 325-326 - [e5]Danilo Ardagna, Giuliano Casale, André van Hoorn, Felix Willnecker:
Proceedings of the 2nd International Workshop on Quality-Aware DevOps, QUDOS@ISSTA 2016, Saarbrücken, Germany, July 21, 2016. ACM 2016, ISBN 978-1-4503-4411-1 [contents] - [i3]Pooyan Jamshidi, Giuliano Casale:
An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing Systems. CoRR abs/1606.06543 (2016) - 2015
- [j37]Giuliano Casale, Juan F. Pérez, Weikun Wang:
QD-AMVA: Evaluating systems with queue-dependent service requirements. Perform. Evaluation 91: 80-98 (2015) - [j36]Simon Spinner, Giuliano Casale, Fabian Brosig, Samuel Kounev:
Evaluating approaches to resource demand estimation. Perform. Evaluation 92: 51-71 (2015) - [j35]Weikun Wang, Giuliano Casale:
Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data. SIGMETRICS Perform. Evaluation Rev. 43(2): 45-47 (2015) - [j34]Juan F. Pérez, Giuliano Casale, Sergio Pacheco-Sanchez:
Estimating Computational Requirements in Multi-Threaded Applications. IEEE Trans. Software Eng. 41(3): 264-278 (2015) - [c64]Jiawei Wen, Lei Lu, Giuliano Casale, Evgenia Smirni:
Less Can Be More: Micro-managing VMs in Amazon EC2. CLOUD 2015: 317-324 - [c63]Karsten Molka, Giuliano Casale:
Experiments or simulation? A characterization of evaluation methods for in-memory databases. CNSM 2015: 201-209 - [c62]Daniel J. Dubois, Giuliano Casale:
Autonomic Provisioning and Application Mapping on Spot Cloud Resources. ICCAC 2015: 57-68 - [c61]Giuliano Casale, Danilo Ardagna, Matej Artac, Franck Barbier, Elisabetta Di Nitto, Alexis Henry, Gabriel Iuhasz, Christophe Joubert, José Merseguer, Victor Ion Munteanu, Juan Fernando Pérez, Dana Petcu, Matteo Rossi, Craig Sheridan, Ilias Spais, Daniel Vladuic:
DICE: Quality-Driven Development of Data-Intensive Cloud Applications. MiSE@ICSE 2015: 78-83 - [c60]Weikun Wang, Juan F. Pérez, Giuliano Casale:
Filling the gap: a tool to automate parameter estimation for software performance models. QUDOS@SIGSOFT FSE 2015: 31-32 - [c59]Juan F. Pérez, Weikun Wang, Giuliano Casale:
Towards a DevOps Approach for Software Quality Engineering. WOSP-C@ICPE 2015: 5-10 - [e4]Danilo Ardagna, Andreas Brunnert, Giuliano Casale, André van Hoorn:
Proceedings of the 1st International Workshop on Quality-Aware DevOps, QUDOS 2015, Bergamo, Italy, September 1, 2015. ACM 2015, ISBN 978-1-4503-3817-2 [contents] - 2014
- [j33]Danilo Ardagna, Giuliano Casale, Michele Ciavotta, Juan F. Pérez, Weikun Wang:
Quality-of-service in cloud computing: modeling techniques and their applications. J. Internet Serv. Appl. 5(1): 11:1-11:17 (2014) - [j32]Giuliano Casale, Ludmila Cherkasova, Holger Hermanns:
Special Issue on "Quantitative Evaluation of SysTems" (QEST 2012). Perform. Evaluation 73: 1-2 (2014) - [j31]Giuliano Casale, Mirco Tribastone, Peter G. Harrison:
Blending randomness in closed queueing network models. Perform. Evaluation 82: 15-38 (2014) - [c58]Dana Petcu, Elisabetta Di Nitto, Danilo Ardagna, Amor Solberg, Giuliano Casale:
Towards Multi-Clouds engineering. INFOCOM Workshops 2014: 1-6 - [c57]Karsten Molka, Giuliano Casale, Thomas Molka, Laura Moore:
Memory-aware sizing for in-memory databases. NOMS 2014: 1-9 - [c56]Weikun Wang, Giuliano Casale:
Evaluating Weighted Round Robin Load Balancing for Cloud Web Services. SYNASC 2014: 393-400 - [c55]Simon Spinner, Giuliano Casale, Xiaoyun Zhu, Samuel Kounev:
LibReDE: a library for resource demand estimation. ICPE 2014: 227-228 - [e3]Xiaoyun Zhu, Giuliano Casale, Xiaohui Gu:
11th International Conference on Autonomic Computing, ICAC '14, Philadelphia, PA, USA, June 18-20, 2014. USENIX Association 2014 [contents] - 2013
- [j30]Jonatha Anselmi, Giuliano Casale:
Heavy-traffic revenue maximization in parallel multiclass queues. Perform. Evaluation 70(10): 806-821 (2013) - [j29]Giuliano Casale, Mirco Tribastone:
Modelling exogenous variability in cloud deployments. SIGMETRICS Perform. Evaluation Rev. 40(4): 73-82 (2013) - [j28]Stephan Kraft, Giuliano Casale, Diwakar Krishnamurthy, Des Greer, Peter Kilpatrick:
Performance models of storage contention in cloud environments. Softw. Syst. Model. 12(4): 681-704 (2013) - [c54]Giuliano Casale, Carmelo Ragusa, Panos Parpas:
A Feasibility Study of Host-Level Contention Detection by Guest Virtual Machines. CloudCom (2) 2013: 152-157 - [c53]Andrea Sansottera, Giuliano Casale, Paolo Cremonesi:
Fitting second-order acyclic Marked Markovian Arrival Processes. DSN 2013: 1-12 - [c52]Samira Musabbir, Diwakar Krishnamurthy, Giuliano Casale:
RPO: Runtime web server optimization under simultaneous multithreading. IM 2013: 85-92 - [c51]Juan F. Pérez, Sergio Pacheco-Sanchez, Giuliano Casale:
An Offline Demand Estimation Method for Multi-threaded Applications. MASCOTS 2013: 21-30 - [c50]Weikun Wang, Giuliano Casale:
Bayesian Service Demand Estimation Using Gibbs Sampling. MASCOTS 2013: 567-576 - [c49]Juan F. Pérez, Giuliano Casale:
Assessing SLA Compliance from Palladio Component Models. SYNASC 2013: 409-416 - [c48]Elisabetta Di Nitto, Marcos Aurélio Almeida da Silva, Danilo Ardagna, Giuliano Casale, Ciprian Dorin Craciun, Nicolas Ferry, Victor Muntés, Arnor Solberg:
Supporting the Development and Operation of Multi-cloud Applications: The MODAClouds Approach. SYNASC 2013: 417-423 - [c47]Piotr Bar, Rudy Benfredj, Jonathon Marks, Deyan Ulevinov, Bartosz D. Wozniak, Giuliano Casale, William J. Knottenbelt:
Towards a monitoring feedback loop for cloud applications. MultiCloud@ICPE 2013: 43-44 - [e2]Seetharami Seelam, Petr Tuma, Giuliano Casale, Tony Field, José Nelson Amaral:
ACM/SPEC International Conference on Performance Engineering, ICPE'13, Prague, Czech Republic - April 21 - 24, 2013. ACM 2013, ISBN 978-1-4503-1636-1 [contents] - 2012
- [j27]Giuliano Casale, Peter G. Harrison, Maria Grazia Vigliotti:
Product-form approximation of queueing networks with phase-type service. SIGMETRICS Perform. Evaluation Rev. 39(4): 36 (2012) - [j26]Giuliano Casale, Evgenia Smirni:
KPC-toolbox: fitting Markovian arrival processes and phase-type distributions with MATLAB. SIGMETRICS Perform. Evaluation Rev. 39(4): 47 (2012) - [j25]Ningfang Mi, Giuliano Casale, Evgenia Smirni:
ASIdE: Using Autocorrelation-Based Size Estimation for Scheduling Bursty Workloads. IEEE Trans. Netw. Serv. Manag. 9(2): 198-212 (2012) - [j24]Giuliano Casale, Amir S. Kalbasi, Diwakar Krishnamurthy, Jerry Rolia:
BURN: Enabling Workload Burstiness in Customized Service Benchmarks. IEEE Trans. Software Eng. 38(4): 778-793 (2012) - [j23]Giuliano Casale, Ningfang Mi, Ludmila Cherkasova, Evgenia Smirni:
Dealing with Burstiness in Multi-Tier Applications: Models and Their Parameterization. IEEE Trans. Software Eng. 38(5): 1040-1053 (2012) - [c46]Stephan Kraft, Giuliano Casale, Alin Jula, Peter Kilpatrick, Des Greer:
WIQ: Work-Intensive Query Scheduling for In-Memory Database Systems. IEEE CLOUD 2012: 33-40 - [c45]Danilo Ardagna, Elisabetta Di Nitto, Giuliano Casale, Dana Petcu, Parastoo Mohagheghi, Sébastien Mosser, Peter Matthews, Anke Gericke, Cyril Ballagny, Francesco D'Andria, Cosmin-Septimiu Nechifor, Craig Sheridan:
MODAClouds: a model-driven approach for the design and execution of applications on multiple clouds. MiSE 2012: 50-56 - [c44]Jean Moschetta, Giuliano Casale:
OFBench: An Enterprise Application Benchmark for Cloud Resource Management Studies. SYNASC 2012: 393-399 - [c43]Giuliano Casale, Peter G. Harrison:
A class of tractable models for run-time performance evaluation. ICPE 2012: 63-74 - [e1]Peter G. Harrison, Martin F. Arlitt, Giuliano Casale:
ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS '12, London, United Kingdom, June 11-15, 2012. ACM 2012, ISBN 978-1-4503-1097-0 [contents] - 2011
- [j22]Giuliano Casale:
A generalized method of moments for closed queueing networks. Perform. Evaluation 68(2): 180-200 (2011) - [j21]Giuliano Casale:
Exact analysis of performance models by the Method of Moments. Perform. Evaluation 68(6): 487-506 (2011) - [j20]Stephan Kraft, Giuliano Casale, Diwakar Krishnamurthy, Des Greer, Peter Kilpatrick:
IO performance prediction in consolidated virtualized environments (abstracts only). SIGMETRICS Perform. Evaluation Rev. 39(3): 17-18 (2011) - [c42]Sergio Pacheco-Sanchez, Giuliano Casale, Bryan W. Scotney, Sally I. McClean, Gerard P. Parr, Stephen Dawson:
Markovian Workload Characterization for QoS Prediction in the Cloud. IEEE CLOUD 2011: 147-154 - [c41]Vittoria De Nitto Persone, Giuliano Casale, Evgenia Smirni:
Approximate analysis of blocking queueing networks with temporal dependence. DSN 2011: 574-585 - [c40]Shirley Moore, Derrick Kondo, Brian J. N. Wylie, Giuliano Casale:
Introduction. Euro-Par (1) 2011: 77-78 - [c39]Giuliano Casale, Stephan Kraft, Diwakar Krishnamurthy:
A Model of Storage I/O Performance Interference in Virtualized Systems. ICDCS Workshops 2011: 34-39 - [c38]Giuliano Casale, Peter G. Harrison:
AutoCAT: Automated Product-Form Solution of Stochastic Models. MAM 2011: 57-85 - [c37]Giuliano Casale, Mirco Tribastone:
Fluid Analysis of Queueing in Two-Stage Random Environments. QEST 2011: 21-30 - [c36]Giuliano Casale:
Building accurate workload models using Markovian arrival processes. SIGMETRICS 2011: 357-358 - [c35]Michail Makaronidis, Giuliano Casale:
Efficient parallelization of the Method of Moments for queueing networks using multi-modular algebra. VALUETOOLS 2011: 176-185 - [c34]Stephan Kraft, Giuliano Casale, Diwakar Krishnamurthy, Des Greer, Peter Kilpatrick:
IO performance prediction in consolidated virtualized environments. ICPE 2011: 295-306 - [c33]Giuliano Casale, Giuseppe Serazzi:
Quantitative system evaluation with Java modeling tools. ICPE 2011: 449-454 - 2010
- [j19]Ningfang Mi, Giuliano Casale, Ludmila Cherkasova, Evgenia Smirni:
Sizing multi-tier systems with temporal dependence: benchmarks and analytic models. J. Internet Serv. Appl. 1(2): 117-134 (2010) - [j18]Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni:
Trace data characterization and fitting for Markov modeling. Perform. Evaluation 67(2): 61-79 (2010) - [j17]Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni:
KPC-Toolbox: Best recipes for automatic trace fitting using Markovian Arrival Processes. Perform. Evaluation 67(9): 873-896 (2010) - [j16]Giuliano Casale:
Approximating passage time distributions in queueing models by Bayesian expansion. Perform. Evaluation 67(11): 1076-1091 (2010) - [j15]Giuliano Casale, Ningfang Mi, Evgenia Smirni:
Model-Driven System Capacity Planning under Workload Burstiness. IEEE Trans. Computers 59(1): 66-80 (2010) - [c32]Giuliano Casale, Marco Gribaudo, Giuseppe Serazzi:
Tools for Performance Evaluation of Computer Systems: Historical Evolution and Perspectives. PERFORM 2010: 24-37 - [c31]Giuliano Casale, Ningfang Mi, Evgenia Smirni:
CWS: a model-driven scheduling policy for correlated workloads. SIGMETRICS 2010: 251-262 - [c30]Jerry Rolia, Diwakar Krishnamurthy, Giuliano Casale, Stephen Dawson:
BAP: a benchmark-driven algebraic method for the performance engineering of customized services. WOSP/SIPEW 2010: 3-14 - [c29]Hui Li, Giuliano Casale, Tariq N. Ellahi:
SLA-driven planning and optimization of enterprise applications. WOSP/SIPEW 2010: 117-128
2000 – 2009
- 2009
- [j14]Giuliano Casale, Richard R. Muntz, Giuseppe Serazzi:
Special issue on tools for computer performance modeling and reliability analysis. SIGMETRICS Perform. Evaluation Rev. 36(4): 2-3 (2009) - [j13]Marco Bertoli, Giuliano Casale, Giuseppe Serazzi:
JMT: performance engineering tools for system modeling. SIGMETRICS Perform. Evaluation Rev. 36(4): 10-15 (2009) - [j12]Giuliano Casale, Amir S. Kalbasi, Diwakar Krishnamurthy, Jerry Rolia:
Automatically generating bursty benchmarks for multitier systems. SIGMETRICS Perform. Evaluation Rev. 37(3): 32-37 (2009) - [j11]Alma Riska, Ningfang Mi, Evgenia Smirni, Giuliano Casale:
Feasibility regions: exploiting tradeoffs between power and performance in disk drives. SIGMETRICS Perform. Evaluation Rev. 37(3): 43-48 (2009) - [j10]Giuliano Casale:
CoMoM: Efficient Class-Oriented Evaluation of Multiclass Performance Models. IEEE Trans. Software Eng. 35(2): 162-177 (2009) - [c28]Giuliano Casale, Evgenia Smirni:
MAP-AMVA: Approximate mean value analysis of bursty systems. DSN 2009: 409-418 - [c27]Ningfang Mi, Giuliano Casale, Ludmila Cherkasova, Evgenia Smirni:
Injecting realistic burstiness to a traditional client-server benchmark. ICAC 2009: 149-158 - [c26]Ningfang Mi, Giuliano Casale, Qi Zhang, Alma Riska, Evgenia Smirni:
Autocorrelation-driven load control in distributed systems. MASCOTS 2009: 1-10 - [c25]Giuliano Casale, Amir S. Kalbasi, Diwakar Krishnamurthy, Jerry Rolia:
Automatic Stress Testing of Multi-tier Systems by Dynamic Bottleneck Switch Generation. Middleware 2009: 393-413 - [c24]Giuliano Casale:
The Multi-branched Method of Moments for Queueing Networks. QEST 2009: 227-236 - [c23]Marco Bertoli, Giuliano Casale, Giuseppe Serazzi:
User-friendly approach to capacity planning studies with Java modelling tools. SimuTools 2009: 48 - [c22]Jerry Rolia, Giuliano Casale, Diwakar Krishnamurthy, Stephen Dawson, Stephan Kraft:
Predictive modelling of SAP ERP applications: challenges and solutions. VALUETOOLS 2009: 9 - [c21]Stephan Kraft, Sergio Pacheco-Sanchez, Giuliano Casale, Stephen Dawson:
Estimating service resource consumption from response time measurements. VALUETOOLS 2009: 48 - [i2]Giuliano Casale:
The Multi-Branched Method of Moments for Queueing Networks. CoRR abs/0902.3065 (2009) - 2008
- [j9]Giuliano Casale:
An application of exact linear algebra to capacity planning models. ACM Commun. Comput. Algebra 42(4): 202-205 (2008) - [j8]Edoardo Amaldi, Maurizio Bruglieri, Giuliano Casale:
A two-phase relaxation-based heuristic for the maximum feasible subsystem problem. Comput. Oper. Res. 35(5): 1465-1482 (2008) - [j7]Stefano Zanero, Giuliano Casale:
GIVS: integrity validation for grid security. Int. J. Crit. Infrastructures 4(3): 319-333 (2008) - [j6]Giuliano Casale:
A note on stable flow-equivalent aggregation in closed networks. Queueing Syst. Theory Appl. 60(3-4): 193-202 (2008) - [j5]Giuliano Casale, Ningfang Mi, Ludmila Cherkasova, Evgenia Smirni:
How to parameterize models with bursty workloads. SIGMETRICS Perform. Evaluation Rev. 36(2): 38-44 (2008) - [j4]Eddy Z. Zhang, Giuliano Casale, Evgenia Smirni:
KPC-Toolbox: best recipes toward automatization of workload fitting. SIGMETRICS Perform. Evaluation Rev. 36(2): 75-78 (2008) - [j3]Giuliano Casale:
CoMoM: class-oriented evaluation of multiclass models. SIGMETRICS Perform. Evaluation Rev. 36(2): 134-136 (2008) - [j2]Giuliano Casale, Richard R. Muntz, Giuseppe Serazzi:
Geometric Bounds: A Noniterative Analysis Technique for Closed Queueing Networks. IEEE Trans. Computers 57(6): 780-794 (2008) - [c20]Ningfang Mi, Giuliano Casale, Evgenia Smirni:
Scheduling for performance and availability in systems with temporal dependent workloads. DSN 2008: 336-345 - [c19]Giuliano Casale, Ningfang Mi, Evgenia Smirni:
Versatile models of systems using map queueing networks. IPDPS 2008: 1-5 - [c18]Ningfang Mi, Giuliano Casale, Ludmila Cherkasova, Evgenia Smirni:
Burstiness in Multi-tier Applications: Symptoms, Causes, and New Models. Middleware 2008: 265-286 - [c17]Giuliano Casale, Paolo Cremonesi, Roberto Turrin:
Robust Workload Estimation in Queueing Network Performance Models. PDP 2008: 183-187 - [c16]Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni:
KPC-Toolbox: Simple Yet Effective Trace Fitting Using Markovian Arrival Processes. QEST 2008: 83-92 - [c15]Giuliano Casale, Ningfang Mi, Evgenia Smirni:
Bound analysis of closed queueing networks with workload burstiness. SIGMETRICS 2008: 13-24 - 2007
- [j1]Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni:
Characterization of moments and autocorrelation in MAPs. SIGMETRICS Perform. Evaluation Rev. 35(2): 27-29 (2007) - [c14]Marco Bertoli, Giuliano Casale, Giuseppe Serazzi:
The JMT Simulator for Performance Evaluation of Non-Product-Form Queueing Networks. Annual Simulation Symposium 2007: 3-10 - [c13]Paolo Cremonesi, Giuliano Casale:
How to Select Significant Workloads in Performance Models. Int. CMG Conference 2007: 183-192 - [c12]Evgenia Smirni, Qi Zhang, Ningfang Mi, Alma Riska, Giuliano Casale:
New Results on the Performance Effects of Autocorrelated Flows in Systems. IPDPS 2007: 1-6 - [c11]Jonatha Anselmi, Giuliano Casale, Paolo Cremonesi:
Approximate Solution of Multiclass Queuing Networks with Region Constraints. MASCOTS 2007: 225-230 - [i1]Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni:
Interarrival Times Characterization and Fitting for Markovian Traffic Analysis. Numerical Methods for Structured Markov Chains 2007 - 2006
- [b1]Giuliano Casale:
The throughput analysis of product-form queueing networks. Polytechnic University of Milan, Italy, 2006 - [c10]Paolo Cremonesi, Giuliano Casale, Stefano Visconti:
Identifying network failures and evaluating link MTBF from utilization logs. Int. CMG Conference 2006: 703-710 - [c9]Giuliano Casale, Richard R. Muntz, Giuseppe Serazzi:
A New Class of Non-Iterative Bounds for Closed Queueing Networks. MASCOTS 2006: 69-76 - [c8]Marco Bertoli, Giuliano Casale, Giuseppe Serazzi:
Java Modelling Tools: an Open Source Suite for Queueing Network Modelling andWorkload Analysis. QEST 2006: 119-120 - [c7]Giuliano Casale:
On Single-Class Load-Dependent Normalizing Constant Equations. QEST 2006: 333-342 - [c6]Giuliano Casale:
An efficient algorithm for the exact analysis of multiclass queueing networks with large population sizes. SIGMETRICS/Performance 2006: 169-180 - 2005
- [c5]Giuliano Casale, Paolo Cremonesi, Giuseppe Serazzi, Stefano Zanero:
Performance Issues in Video Streaming Environments. FIRB-Perf 2005: 3-14 - [c4]Giuliano Casale, Stefano Zanero:
GIVS: Integrity Validation for Grid Security. International Conference on Computational Science (3) 2005: 147-154 - [c3]Giuliano Casale:
Combining queueing networks and web usage mining techniques for web performance analysis. SAC 2005: 1699-1703 - 2004
- [c2]Giuliano Casale, Giuseppe Serazzi:
Bottlenecks Identification in Multiclass Queueing Networks Using Convex Polytopes. MASCOTS 2004: 223-230 - [c1]Lorenzo Muttoni, Giuliano Casale, Federico Granata, Stefano Zanero:
Optimal Number of Nodes for Computation in Grid Environments. PDP 2004: 282-289
Coauthor Index
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