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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]