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227 Monotone performance measures in closed multiclass queueing networks . Perform. Evaluation , to appear, 2026. Cite
226 The component queues method for quasi-birth-death process fitting and analysis . Proc. of QEST/FORMATS 2026 , accepted, 2026. Cite
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224 CARSS: Leveraging online arrival forecasting and co-simulation for adaptive scheduling . IEEE Trans. Parallel Distributed Syst. , accepted, 2026. Cite[AAM]
223 Fine-grained Tracing for Performance Anomaly Diagnosis of Serverless Functions . ACM Trans. Auton. Adapt. Syst. , vol. 21, no. 1, pp. 5:1-5:29, 2026. Cite[AAM] [DOI]
222 LLMRCA: Multilevel root cause analysis for LLM applications using multimodal observability data . ACM Trans. Softw. Eng. Methodol. , accepted, 2026. Cite[AAM]
221 SQUAD: Scalable Quorum Adaptive Decisions via ensemble of early exit neural networks . arXiv preprint , vol. abs/2601.22711, 2026. Cite[arXiv]
220 Competitive Analysis of Vehicle-Sharing Systems With Cournot Queueing Games . IEEE Trans. Intell. Transp. Syst. , vol. 26, no. 8, pp. 12039-12048, 2025. Cite[AAM] [DOI]
219 SELA: Smart Edge LLM Agent to Optimize Response Trade-offs of AI Assistants . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. , vol. 9, no. 3, pp. 130:1-130:18, 2025. Cite[AAM] [DOI]
218 TBI: Transient Hierarchical Modeling of Large-Scale Vehicle Sharing Systems . IEEE Trans. Intell. Transp. Syst. , vol. 26, no. 11, pp. 19720-19729, 2025. Cite[AAM] [DOI]
217 Towards Cost-Optimal Policies for DAGs to Utilize IaaS Clouds With Online Learning . IEEE Trans. Serv. Comput. , vol. 18, no. 4, pp. 2439-2455, 2025. Cite[AAM] [DOI] [arXiv]
216 CEED: Collaborative Early Exit Neural Network Inference at the Edge . Proc. of INFOCOM , pp. 1-10, 2025. Cite[AAM] [DOI]
215 Deep Surrogate Models of Serverless Batch Processing Services . Proc. of ESOCC , pp. 155-170, 2025. Cite[AAM] [DOI]
214 DeepBAT: Performance and Cost Optimization of Serverless Inference Using Transformers . Proc. of IPDPS , pp. 335-346, 2025. Cite[AAM] [DOI]
213 Enhanced Training of Response Time Anomaly Detectors Using Diffusion Models . Proc. of MASCOTS , pp. 1-8, 2025. Cite[AAM] [DOI]
212 A Product-form Network for Systems with Job Stealing Policies . ACM Trans. Model. Perform. Evaluation Comput. Syst. , vol. 9, no. 2, pp. 6:1-6:26, 2024. Cite[OA] [DOI]
211 LN: A Flexible Algorithmic Framework for Layered Queueing Network Analysis . ACM Trans. Model. Comput. Simul. , vol. 34, no. 3, pp. 17:1-17:26, 2024. Cite[AAM] [DOI]
210 Neural Density Estimation of Response Times in Layered Software Systems . IEEE Trans. Software Eng. , vol. 50, no. 3, pp. 636-650, 2024. Cite[AAM] [DOI]
209 Performance Modeling of Distributed Data Processing in Microservice Applications . ACM Trans. Model. Perform. Evaluation Comput. Syst. , vol. 9, no. 4, pp. 14:1-14:30, 2024. Cite[AAM] [DOI]
208 PreGAN+: Semi-Supervised Fault Prediction and Preemptive Migration in Dynamic Mobile Edge Environments . IEEE Trans. Mob. Comput. , vol. 23, no. 6, pp. 6881-6895, 2024. Cite[AAM] [DOI]
207 RADF: Architecture decomposition for function as a service . Softw. Pract. Exp. , vol. 54, no. 4, pp. 566-594, 2024. Cite[AAM] [DOI]
206 SampleHST-X: A Point and Collective Anomaly-Aware Trace Sampling Pipeline with Approximate Half Space Trees . J. Netw. Syst. Manag. , vol. 32, no. 3, pp. 44, 2024. Cite[AAM] [DOI]
205 Scheduling Inputs in Early Exit Neural Networks . IEEE Trans. Computers , vol. 73, no. 2, pp. 451-465, 2024. Cite[AAM] [DOI] [suppl.]
204 Approximating Closed Queueing Networks in Semi-Markov Random Environments . Proc. of MASCOTS , pp. 1-8, 2024. Cite[AAM] [DOI]
203 Approximating Fork-Join Systems via Mixed Model Transformations . Proc. of ICPE (Companion) , pp. 273-280, 2024. Cite[OA] [DOI]
202 Bayesian Optimization for Clinical Pathway Decomposition From Aggregate Data . Proc. of WSC , pp. 952-963, 2024. Cite[AAM] [DOI]
201 ChainNet: A Customized Graph Neural Network Model for Loss-Aware Edge AI Service Deployment . Proc. of DSN , pp. 238-251, 2024. Cite[AAM] [DOI]
200 Cournot Queueing Games with Applications to Mobility Systems . Proc. of AAMAS , pp. 2462-2464, 2024. Cite[OA] [DOI] [journal]
199 Matrix Network Analyzer: A New Decomposition Algorithm for Phase-type Queueing Networks (Work In Progress Paper) . Proc. of ICPE (Companion) , pp. 34-39, 2024. Cite[AAM] [DOI]
198 Optimizing Edge AI: Performance Engineering in Resource-Constrained Environments . Proc. of ICPE , pp. 223, 2024. Cite[AAM] [DOI]
197 AI augmented Edge and Fog computing: Trends and challenges . J. Netw. Comput. Appl. , vol. 216, pp. 103648, 2023. Cite[AAM] [DOI] [arXiv]
196 CILP: Co-Simulation-Based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments . IEEE Trans. Netw. Serv. Manag. , vol. 20, no. 4, pp. 4448-4460, 2023. Cite[AAM] [DOI] [arXiv]
195 Delay and Price Differentiation in Cloud Computing: A Service Model, Supporting Architectures, and Performance . ACM Trans. Model. Perform. Evaluation Comput. Syst. , vol. 8, no. 3, pp. 1-40, 2023. Cite[AAM] [DOI] [arXiv]
194 DRAGON: Decentralized Fault Tolerance in Edge Federations . IEEE Trans. Netw. Serv. Manag. , vol. 20, no. 1, pp. 276-291, 2023. Cite[AAM] [DOI] [arXiv]
193 Estimating Multiclass Service Demand Distributions Using Markovian Arrival Processes . ACM Trans. Model. Comput. Simul. , vol. 33, no. 1-2, pp. 2:1-2:26, 2023. Cite[AAM] [DOI]
192 Fitting with matrix exponential mixtures generated by discrete probabilistic scaling . SIGMETRICS Perform. Evaluation Rev. , vol. 51, no. 2, pp. 15-17, 2023. Cite[AAM] [DOI]
191 Learning to Dynamically Select Cost Optimal Schedulers in Cloud Computing Environments . SIGMETRICS Perform. Evaluation Rev. , vol. 50, no. 4, pp. 29-31, 2023. Cite[AAM] [DOI] [arXiv]
190 Performance evaluation teaching in the age of cloud computing . SIGMETRICS Perform. Evaluation Rev. , vol. 51, no. 2, pp. 45-49, 2023. Cite[AAM] [DOI]
189 Redundancy Planning for Cost Efficient Resilience to Cyber Attacks . IEEE Trans. Dependable Secur. Comput. , vol. 20, no. 2, pp. 1154-1168, 2023. Cite[AAM] [DOI]
188 SciNet: Codesign of Resource Management in Cloud Computing Environments . IEEE Trans. Computers , vol. 72, no. 12, pp. 3590-3602, 2023. Cite[AAM] [DOI]
187 SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments . IEEE Trans. Mob. Comput. , vol. 22, no. 9, pp. 5539-5554, 2023. Cite[AAM] [DOI] [arXiv]
186 START: Straggler Prediction and Mitigation for Cloud Computing Environments Using Encoder LSTM Networks . IEEE Trans. Serv. Comput. , vol. 16, no. 1, pp. 615-627, 2023. Cite[AAM] [DOI] [arXiv]
185 Clinical Pathway Clustering Using Surrogate Likelihoods and Replayability Validation . Proc. of WSC , pp. 1220-1231, 2023. Cite[AAM] [DOI]
184 Coupling QoS Co-Simulation with Online Adaptive Arrival Forecasting . Proc. of CNSM , pp. 1-9, 2023. Cite[AAM] [DOI] [journal]
183 DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model . Proc. of INFOCOM , pp. 1-10, 2023. Cite[AAM] [DOI] [arXiv]
182 SampleHST: Efficient On-the-Fly Selection of Distributed Traces . Proc. of NOMS , pp. 1-9, 2023. Cite[AAM] [DOI] [arXiv] [journal]
181 COSCO: Container Orchestration Using Co-Simulation and Gradient Based Optimization for Fog Computing Environments . IEEE Trans. Parallel Distributed Syst. , vol. 33, no. 1, pp. 101-116, 2022. Cite[AAM] [DOI] [arXiv]
180 Facilitating Load-Dependent Queueing Analysis Through Factorization (Extended Abstract) . SIGMETRICS Perform. Evaluation Rev. , vol. 49, no. 3, pp. 51-52, 2022. Cite[AAM] [DOI]
179 GOSH: Task Scheduling Using Deep Surrogate Models in Fog Computing Environments . IEEE Trans. Parallel Distributed Syst. , vol. 33, no. 11, pp. 2821-2833, 2022. Cite[AAM] [DOI] [arXiv]
178 HUNTER: AI based holistic resource management for sustainable cloud computing . J. Syst. Softw. , vol. 184, pp. 111124, 2022. Cite[DOI] [arXiv]
177 MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems . IEEE Trans. Parallel Distributed Syst. , vol. 33, no. 11, pp. 2794-2807, 2022. Cite[AAM] [DOI] [arXiv]
176 SimTune: bridging the simulator reality gap for resource management in edge-cloud computing . Scientific Reports , vol. 12, pp. 19158, 2022. Cite[AAM] [DOI]
175 TauSSA: Simulating Markovian Queueing Networks with Tau Leaping . SIGMETRICS Perform. Evaluation Rev. , vol. 49, no. 4, pp. 70-75, 2022. Cite[AAM] [DOI]
174 TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data . Proc. VLDB Endow. , vol. 15, no. 6, pp. 1201-1214, 2022. Cite[OA] [DOI] [arXiv]
173 CAROL: Confidence-Aware Resilience Model for Edge Federations . Proc. of DSN , pp. 28-40, 2022. Cite[AAM] [DOI] [arXiv]
172 Enhancing Performance Modeling of Serverless Functions via Static Analysis . Proc. of ICSOC , pp. 71-88, 2022. Cite[AAM] [DOI]
171 JCSP: Joint Caching and Service Placement for Edge Computing Systems . Proc. of IWQoS , pp. 1-10, 2022. Cite[AAM] [DOI] [arXiv]
170 LN: A Meta-solver for Layered Queueing Network Analysis . Proc. of QEST , pp. 232-254, 2022. Cite[AAM] [DOI] [journal]
169 MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments . Proc. of CLOUD , pp. 331-341, 2022. Cite[AAM] [DOI] [arXiv]
168 Optimizing the Performance of Fog Computing Environments Using AI and Co-Simulation . Proc. of ICPE (Companion) , pp. 25-28, 2022. Cite[AAM] [DOI]
167 PreGAN: Preemptive Migration Prediction Network for Proactive Fault-Tolerant Edge Computing . Proc. of INFOCOM , pp. 670-679, 2022. Cite[AAM] [DOI] [arXiv] [journal]
166 Facilitating load-dependent queueing analysis through factorization . Perform. Evaluation , vol. 152, pp. 102241, 2021. Cite[AAM] [DOI]
165 Performance Analysis Methods for List-Based Caches With Non-Uniform Access . IEEE/ACM Trans. Netw. , vol. 29, no. 2, pp. 651-664, 2021. Cite[AAM] [DOI] [suppl.]
164 Quality-Aware DevOps Research: Where Do We Stand? . IEEE Access , vol. 9, pp. 44476-44489, 2021. Cite[OA] [DOI]
163 Variational inference for Markovian queueing networks . Advances in Applied Probability , vol. 53, no. 3, pp. 687-715, 2021. Cite[AAM] [DOI]
162 AI-driven performance management in data-intensive applications . Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning, Wiley-IEEE Press , pp. 199-222, 2021. Cite[AAM] [DOI]
161 A Mixture Density Network Approach to Predicting Response Times in Layered Systems . Proc. of MASCOTS , pp. 1-8, 2021. Cite[AAM] [DOI] [journal]
160 Deep Learning Models for Automated Identification of Scheduling Policies . Proc. of MASCOTS , pp. 1-8, 2021. Cite[AAM] [DOI]
159 MEAD: Model-Based Vertical Auto-Scaling for Data Stream Processing . Proc. of CCGRID , pp. 314-323, 2021. Cite[AAM] [DOI]
158 RDOF: Deployment Optimization for Function as a Service . Proc. of CLOUD , pp. 508-514, 2021. Cite[AAM] [DOI]
157 Service Demand Distribution Estimation for Microservices Using Markovian Arrival Processes . Proc. of QEST , pp. 310-328, 2021. Cite[DOI] [journal]
156 Generative Optimization Networks for Memory Efficient Data Generation . arXiv preprint , vol. abs/2110.02912, 2021. Cite[AAM] [arXiv]
155 Artificial neural networks based techniques for anomaly detection in Apache Spark . Clust. Comput. , vol. 23, no. 2, pp. 1345-1360, 2020. Cite[DOI]
154 Correction to: Artificial neural networks based techniques for anomaly detection in Apache Spark . Clust. Comput. , vol. 23, no. 2, pp. 1361-1362, 2020. Cite[AAM] [DOI]
153 Fluid approximation of closed queueing networks with discriminatory processor sharing . Perform. Evaluation , vol. 139, pp. 102094, 2020. Cite[AAM] [DOI]
152 iThermoFog: IoT-Fog based automatic thermal profile creation for cloud data centers using artificial intelligence techniques . Internet Technol. Lett. , vol. 3, no. 5, 2020. Cite[AAM] [DOI]
151 RADON: rational decomposition and orchestration for serverless computing . SICS Softw.-Intensive Cyber Phys. Syst. , vol. 35, no. 1-2, pp. 77-87, 2020. Cite[AAM] [DOI]
150 TRACK-Plus: Optimizing Artificial Neural Networks for Hybrid Anomaly Detection in Data Streaming Systems . IEEE Access , vol. 8, pp. 146613-146626, 2020. Cite[OA] [DOI]
149 COCOA: Cold Start Aware Capacity Planning for Function-as-a-Service Platforms . Proc. of MASCOTS , pp. 1-8, 2020. Cite[AAM] [DOI] [arXiv]
148 Integrated Performance Evaluation of Extended Queueing Network Models with Line . Proc. of WSC , pp. 2377-2388, 2020. Cite[AAM] [DOI]
147 Performance Engineering for Microservices and Serverless Applications: The RADON Approach . Proc. of ICPE Companion , pp. 46-49, 2020. Cite[AAM] [DOI]
146 TRACK: Optimizing Artificial Neural Networks for Anomaly Detection in Spark Streaming Systems . Proc. of VALUETOOLS , pp. 188-191, 2020. Cite[AAM] [DOI] [journal]
145 A Framework for Allocating Server Time to Spot and On-Demand Services in Cloud Computing . ACM Trans. Model. Perform. Evaluation Comput. Syst. , vol. 4, no. 4, pp. 20:1-20:31, 2019. Cite[AAM] [DOI] [arXiv]
144 A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade . ACM Comput. Surv. , vol. 51, no. 5, pp. 105:1-105:38, 2019. Cite[AAM] [DOI] [arXiv]
143 Cognitive Distance and Research Output in Computing Education: A Case-Study . IEEE Trans. Educ. , vol. 62, no. 2, pp. 99-107, 2019. Cite[AAM] [DOI]
142 Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge . J. Syst. Softw. , vol. 155, pp. 104-129, 2019. Cite[DOI]
141 Novel Solutions for Closed Queueing Networks with Load-Dependent Stations . SIGMETRICS Perform. Evaluation Rev. , vol. 47, no. 2, pp. 30-32, 2019. Cite[AAM] [DOI]
140 ATOM: Model-Driven Autoscaling for Microservices . Proc. of ICDCS , pp. 1994-2004, 2019. Cite[AAM] [DOI]
139 Automated Multi-paradigm Analysis of Extended and Layered Queueing Models with LINE . Proc. of ICPE Companion , pp. 37-38, 2019. Cite[AAM] [DOI] [slides]
138 SD: A Divergence-Based Estimation Method for Service Demands in Cloud Systems . Proc. of FiCloud , pp. 197-204, 2019. Cite[AAM] [DOI]
137 QMLE: A Methodology for Statistical Inference of Service Demands from Queueing Data . ACM Trans. Model. Perform. Evaluation Comput. Syst. , vol. 3, no. 4, pp. 17:1-17:28, 2018. Cite[AAM] [DOI]
136 A Neural-Network Driven Methodology for Anomaly Detection in Apache Spark . Proc. of QUATIC , pp. 201-209, 2018. Cite[DOI] [journal]
135 Analyzing Replacement Policies in List-Based Caches with Non-Uniform Access Costs . Proc. of INFOCOM , pp. 432-440, 2018. Cite[AAM] [DOI]
134 Anomaly Detection for Big Data Technologies . Proc. of ICCSW , pp. 8:1-8:1, 2018. Cite[DOI]
133 PAX: Partition-aware autoscaling for the Cassandra NoSQL database . Proc. of NOMS , pp. 1-9, 2018. Cite[DOI]
132 Approximate Bayesian inference with queueing networks and coupled jump processes . arXiv preprint , vol. abs/1807.08673, 2018. Cite[arXiv]
131 Accelerating Performance Inference over Closed Systems by Asymptotic Methods . Proc. ACM Meas. Anal. Comput. Syst. , vol. 1, no. 1, pp. 8:1-8:25, 2017. Cite[AAM] [DOI]
130 Line: Evaluating Software Applications in Unreliable Environments . IEEE Trans. Reliab. , vol. 66, no. 3, pp. 837-853, 2017. Cite[AAM] [DOI]
129 Modelling and Simulation Challenges in Internet of Things . IEEE Cloud Comput. , vol. 4, no. 1, pp. 62-69, 2017. Cite[DOI]
128 Performance Evaluation with Java Modelling Tools: : A Hands-on Introduction . SIGMETRICS Perform. Evaluation Rev. , vol. 45, no. 3, pp. 246-247, 2017. Cite[AAM] [DOI]
127 Accelerating Performance Inference over Closed Systems by Asymptotic Methods . Proc. of SIGMETRICS (Abstracts) , pp. 64, 2017. Cite[DOI] [journal]
126 Energy-efficient resource allocation and provisioning for in-memory database clusters . Proc. of IM , pp. 19-27, 2017. Cite[DOI]
125 Enhancing Big Data Application Design with the DICE Framework . Proc. of ESOCC Workshops , pp. 164-168, 2017. Cite[AAM] [DOI]
124 Generalized Synchronizations and Capacity Constraints for Java Modelling Tools . Proc. of ICPE , pp. 169-170, 2017. Cite[DOI]
123 How to Supercharge the Amazon T2: Observations and Suggestions . Proc. of CLOUD , pp. 278-285, 2017. Cite[DOI]
122 Performance-aware refactoring of cloud-based big data applications . Proc. of CSCI 2017 , pp. 1505-1510, 2017. Cite[AAM] [DOI]
121 Tulsa: A Tool for Transforming UML to Layered Queueing Networks for Performance Analysis of Data Intensive Applications . Proc. of QEST , pp. 295-299, 2017. Cite[AAM] [DOI]
120 A note on integrating products of linear forms over the unit simplex . arXiv preprint , vol. abs/1704.05867, 2017. Cite[AAM] [arXiv]
119 A Bayesian Approach to Parameter Inference in Queueing Networks . ACM Trans. Model. Comput. Simul. , vol. 27, no. 1, pp. 2, 2016. Cite[AAM] [DOI]
118 Compact Markov-modulated models for multiclass trace fitting . Eur. J. Oper. Res. , vol. 255, no. 3, pp. 822-833, 2016. Cite[AAM] [DOI]
117 Contention-Aware Workload Placement for In-Memory Databases in Cloud Environments . ACM Trans. Model. Perform. Evaluation Comput. Syst. , vol. 2, no. 1, pp. 1:1-1:29, 2016. Cite[AAM] [DOI]
116 OptiSpot: minimizing application deployment cost using spot cloud resources . Clust. Comput. , vol. 19, no. 2, pp. 893-909, 2016. Cite[DOI]
115 QRF: An Optimization-Based Framework for Evaluating Complex Stochastic Networks . ACM Trans. Model. Comput. Simul. , vol. 26, no. 3, pp. 15:1-15:24, 2016. Cite[AAM] [DOI]
114 A Queueing Network Model for Performance Prediction of Apache Cassandra . Proc. of VALUETOOLS , 2016. Cite[DOI]
113 An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing Systems . Proc. of MASCOTS , pp. 39-48, 2016. Cite[AAM] [DOI] [arXiv]
112 Automated Parameterization of Performance Models from Measurements . Proc. of ICPE , pp. 325-326, 2016. Cite[DOI]
111 Current and Future Challenges of Software Engineering for Services and Applications . Proc. of Cloud Forward , pp. 34-42, 2016. Cite[DOI]
110 Efficient Memory Occupancy Models for In-memory Databases . Proc. of MASCOTS , pp. 430-432, 2016. Cite[DOI]
109 Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data . Proc. of ICPE , pp. 3-14, 2016. Cite[AAM] [DOI] [journal]
108 Model-Driven Application Refactoring to Minimize Deployment Costs in Preemptible Cloud Resources . Proc. of CLOUD , pp. 335-342, 2016. Cite[DOI]
107 Performance Engineering for In-Memory Databases: Models, Experiments and Optimization . Proc. of ICPE Companion , pp. 13, 2016. Cite[DOI]
106 Performance Prediction for Burstable Cloud Resources . Proc. of VALUETOOLS , 2016. Cite[AAM] [DOI]
105 Quantifying the Impact of Replication on the Quality-of-Service in Cloud Databases . Proc. of QRS , pp. 286-297, 2016. Cite[DOI]
104 Estimating Computational Requirements in Multi-Threaded Applications . IEEE Trans. Software Eng. , vol. 41, no. 3, pp. 264-278, 2015. Cite[AAM] [DOI]
103 Evaluating approaches to resource demand estimation . Perform. Evaluation , vol. 92, pp. 51-71, 2015. Cite[DOI]
102 Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data . SIGMETRICS Perform. Evaluation Rev. , vol. 43, no. 2, pp. 45-47, 2015. Cite[DOI]
101 QD-AMVA: Evaluating systems with queue-dependent service requirements . Perform. Evaluation , vol. 91, pp. 80-98, 2015. Cite[OA] [DOI]
100 Autonomic Provisioning and Application Mapping on Spot Cloud Resources . Proc. of ICCAC , pp. 57-68, 2015. Cite[DOI] [journal]
99 DICE: Quality-Driven Development of Data-Intensive Cloud Applications . Proc. of MiSE@ICSE , pp. 78-83, 2015. Cite[DOI]
98 Experiments or simulation? A characterization of evaluation methods for in-memory databases . Proc. of CNSM , pp. 201-209, 2015. Cite[DOI]
97 Filling the gap: a tool to automate parameter estimation for software performance models . Proc. of QUDOS@SIGSOFT FSE , pp. 31-32, 2015. Cite[AAM] [DOI]
96 Less Can Be More: Micro-managing VMs in Amazon EC2 . Proc. of CLOUD , pp. 317-324, 2015. Cite[AAM] [DOI]
95 Towards a DevOps Approach for Software Quality Engineering . Proc. of WOSP-C@ICPE , pp. 5-10, 2015. Cite[AAM] [DOI]
94 Blending randomness in closed queueing network models . Perform. Evaluation , vol. 82, pp. 15-38, 2014. Cite[AAM] [DOI]
93 Quality-of-service in cloud computing: modeling techniques and their applications . J. Internet Serv. Appl. , vol. 5, no. 1, pp. 11:1-11:17, 2014. Cite[AAM] [DOI]
92 Evaluating Weighted Round Robin Load Balancing for Cloud Web Services . Proc. of SYNASC , pp. 393-400, 2014. Cite[AAM] [DOI]
91 LibReDE: a library for resource demand estimation . Proc. of ICPE , pp. 227-228, 2014. Cite[AAM] [DOI]
90 Memory-aware sizing for in-memory databases . Proc. of NOMS , pp. 1-9, 2014. Cite[AAM] [DOI] [journal]
89 Towards Multi-Clouds engineering . Proc. of INFOCOM Workshops , pp. 1-6, 2014. Cite[DOI]
88 Heavy-traffic revenue maximization in parallel multiclass queues . Perform. Evaluation , vol. 70, no. 10, pp. 806-821, 2013. Cite[AAM] [DOI]
87 Modelling exogenous variability in cloud deployments . SIGMETRICS Perform. Evaluation Rev. , vol. 40, no. 4, pp. 73-82, 2013. Cite[AAM] [DOI]
86 Performance models of storage contention in cloud environments . Softw. Syst. Model. , vol. 12, no. 4, pp. 681-704, 2013. Cite[AAM] [DOI]
85 A Feasibility Study of Host-Level Contention Detection by Guest Virtual Machines . Proc. of CloudCom (2) , pp. 152-157, 2013. Cite[DOI]
84 An Offline Demand Estimation Method for Multi-threaded Applications . Proc. of MASCOTS , pp. 21-30, 2013. Cite[AAM] [DOI] [journal]
83 Assessing SLA Compliance from Palladio Component Models . Proc. of SYNASC , pp. 409-416, 2013. Cite[DOI]
82 Bayesian Service Demand Estimation Using Gibbs Sampling . Proc. of MASCOTS , pp. 567-576, 2013. Cite[AAM] [DOI] [journal]
81 Fitting second-order acyclic Marked Markovian Arrival Processes . Proc. of DSN , pp. 1-12, 2013. Cite[AAM] [DOI]
80 RPO: Runtime web server optimization under simultaneous multithreading . Proc. of IM , pp. 85-92, 2013. Cite[AAM] [DOI]
79 Supporting the Development and Operation of Multi-cloud Applications: The MODAClouds Approach . Proc. of SYNASC , pp. 417-423, 2013. Cite[DOI]
78 Towards a monitoring feedback loop for cloud applications . Proc. of MultiCloud@ICPE , pp. 43-44, 2013. Cite[AAM] [DOI]
77 ASIdE: Using Autocorrelation-Based Size Estimation for Scheduling Bursty Workloads . IEEE Trans. Netw. Serv. Manag. , vol. 9, no. 2, pp. 198-212, 2012. Cite[AAM] [DOI]
76 BURN: Enabling Workload Burstiness in Customized Service Benchmarks . IEEE Trans. Software Eng. , vol. 38, no. 4, pp. 778-793, 2012. Cite[AAM] [DOI]
75 Dealing with Burstiness in Multi-Tier Applications: Models and Their Parameterization . IEEE Trans. Software Eng. , vol. 38, no. 5, pp. 1040-1053, 2012. Cite[AAM] [DOI]
74 KPC-toolbox: fitting Markovian arrival processes and phase-type distributions with MATLAB . SIGMETRICS Perform. Evaluation Rev. , vol. 39, no. 4, pp. 47, 2012. Cite[AAM] [DOI]
73 Product-form approximation of queueing networks with phase-type service . SIGMETRICS Perform. Evaluation Rev. , vol. 39, no. 4, pp. 36, 2012. Cite[AAM] [DOI]
72 A class of tractable models for run-time performance evaluation . Proc. of ICPE , pp. 63-74, 2012. Cite[AAM] [DOI]
71 MODAClouds: a model-driven approach for the design and execution of applications on multiple clouds . Proc. of MiSE , pp. 50-56, 2012. Cite[AAM] [DOI]
70 OFBench: An Enterprise Application Benchmark for Cloud Resource Management Studies . Proc. of SYNASC , pp. 393-399, 2012. Cite[AAM] [DOI]
69 WIQ: Work-Intensive Query Scheduling for In-Memory Database Systems . Proc. of IEEE CLOUD , pp. 33-40, 2012. Cite[AAM] [DOI]
68 A generalized method of moments for closed queueing networks . Perform. Evaluation , vol. 68, no. 2, pp. 180-200, 2011. Cite[AAM] [DOI]
67 Exact analysis of performance models by the Method of Moments . Perform. Evaluation , vol. 68, no. 6, pp. 487-506, 2011. Cite[AAM] [DOI]
66 IO performance prediction in consolidated virtualized environments (abstracts only) . SIGMETRICS Perform. Evaluation Rev. , vol. 39, no. 3, pp. 17-18, 2011. Cite[DOI]
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63 AutoCAT: Automated Product-Form Solution of Stochastic Models . Proc. of MAM , pp. 57-85, 2011. Cite[AAM] [DOI]
62 Building accurate workload models using Markovian arrival processes . Proc. of SIGMETRICS , pp. 357-358, 2011. Cite[AAM] [DOI]
61 Efficient parallelization of the Method of Moments for queueing networks using multi-modular algebra . Proc. of VALUETOOLS , pp. 176-185, 2011. Cite[AAM] [DOI]
60 Fluid Analysis of Queueing in Two-Stage Random Environments . Proc. of QEST , pp. 21-30, 2011. Cite[AAM] [DOI] [ext. ver.]
59 IO performance prediction in consolidated virtualized environments . Proc. of ICPE , pp. 295-306, 2011. Cite[AAM] [DOI] [journal]
58 Markovian Workload Characterization for QoS Prediction in the Cloud . Proc. of IEEE CLOUD , pp. 147-154, 2011. Cite[AAM] [DOI]
57 Quantitative system evaluation with Java modeling tools . Proc. of ICPE , pp. 449-454, 2011. Cite[AAM] [DOI]
56 Approximating passage time distributions in queueing models by Bayesian expansion . Perform. Evaluation , vol. 67, no. 11, pp. 1076-1091, 2010. Cite[AAM] [DOI]
55 KPC-Toolbox: Best recipes for automatic trace fitting using Markovian Arrival Processes . Perform. Evaluation , vol. 67, no. 9, pp. 873-896, 2010. Cite[AAM] [DOI]
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50 CWS: a model-driven scheduling policy for correlated workloads . Proc. of SIGMETRICS , pp. 251-262, 2010. Cite[AAM] [DOI]
49 SLA-driven planning and optimization of enterprise applications . Proc. of WOSP/SIPEW , pp. 117-128, 2010. Cite[AAM] [DOI]
48 Tools for Performance Evaluation of Computer Systems: Historical Evolution and Perspectives . Proc. of PERFORM , pp. 24-37, 2010. Cite[AAM] [DOI]
47 Process-algebraic modelling of priority queueing networks . Proc. of PASTA 2010 workshop , 2010. Cite[OA]
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45 Automatically generating bursty benchmarks for multitier systems . SIGMETRICS Perform. Evaluation Rev. , vol. 37, no. 3, pp. 32-37, 2009. Cite[AAM] [DOI]
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43 Feasibility regions: exploiting tradeoffs between power and performance in disk drives . SIGMETRICS Perform. Evaluation Rev. , vol. 37, no. 3, pp. 43-48, 2009. Cite[AAM] [DOI]
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41 Autocorrelation-driven load control in distributed systems . Proc. of MASCOTS , pp. 1-10, 2009. Cite[AAM] [DOI]
40 Automatic Stress Testing of Multi-tier Systems by Dynamic Bottleneck Switch Generation . Proc. of Middleware , pp. 393-413, 2009. Cite[AAM] [DOI] [journal]
39 Estimating service resource consumption from response time measurements . Proc. of VALUETOOLS , pp. 48, 2009. Cite[AAM] [DOI]
38 Injecting realistic burstiness to a traditional client-server benchmark . Proc. of ICAC , pp. 149-158, 2009. Cite[AAM] [DOI]
37 MAP-AMVA: Approximate mean value analysis of bursty systems . Proc. of DSN , pp. 409-418, 2009. Cite[AAM] [DOI]
36 Predictive modelling of SAP ERP applications: challenges and solutions . Proc. of VALUETOOLS , pp. 9, 2009. Cite[AAM] [DOI]
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33 A note on stable flow-equivalent aggregation in closed networks . Queueing Syst. Theory Appl. , vol. 60, no. 3-4, pp. 193-202, 2008. Cite[AAM] [DOI]
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29 Geometric Bounds: A Noniterative Analysis Technique for Closed Queueing Networks . IEEE Trans. Computers , vol. 57, no. 6, pp. 780-794, 2008. Cite[AAM] [DOI]
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26 KPC-Toolbox: best recipes toward automatization of workload fitting . SIGMETRICS Perform. Evaluation Rev. , vol. 36, no. 2, pp. 75-78, 2008. Cite[AAM] [DOI]
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24 Burstiness in Multi-tier Applications: Symptoms, Causes, and New Models . Proc. of Middleware , pp. 265-286, 2008. Cite[AAM] [DOI] [journal]
23 KPC-Toolbox: Simple Yet Effective Trace Fitting Using Markovian Arrival Processes . Proc. of QEST , pp. 83-92, 2008. Cite[AAM] [DOI] [journal]
22 Robust Workload Estimation in Queueing Network Performance Models . Proc. of PDP , pp. 183-187, 2008. Cite[DOI]
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20 Versatile models of systems using map queueing networks . Proc. of IPDPS , pp. 1-5, 2008. Cite[AAM] [DOI]
19 Characterization of moments and autocorrelation in MAPs . SIGMETRICS Perform. Evaluation Rev. , vol. 35, no. 2, pp. 27-29, 2007. Cite[AAM] [DOI]
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15 New Results on the Performance Effects of Autocorrelated Flows in Systems . Proc. of IPDPS , pp. 1-6, 2007. Cite[DOI]
14 The JMT Simulator for Performance Evaluation of Non-Product-Form Queueing Networks . Proc. of Annual Simulation Symposium , pp. 3-10, 2007. Cite[AAM] [DOI]
13 Stabilisation techniques for load-dependent algorithms . Communication Networks and Computer Systems (J. A. Barria, Ed.), Imperial College Press , 2006. Cite[AAM]
12 A New Class of Non-Iterative Bounds for Closed Queueing Networks . Proc. of MASCOTS , pp. 69-76, 2006, with corrections. Cite[AAM] [DOI] [journal]
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10 Identifying network failures and evaluating link MTBF from utilization logs . Proc. of Int. CMG Conference , pp. 703-710, 2006. Cite[AAM] [DOI]
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8 On Single-Class Load-Dependent Normalizing Constant Equations . Proc. of QEST , pp. 333-342, 2006. Cite[AAM] [DOI]
7 The throughput analysis of product-form queueing networks . PhD thesis, Politecnico di Milano , 2006. Cite[DOI]
6 Combining queueing networks and web usage mining techniques for web performance analysis . Proc. of SAC , pp. 1699-1703, 2005. Cite[AAM] [DOI]
5 GIVS: Integrity Validation for Grid Security . Proc. of International Conference on Computational Science (3) , pp. 147-154, 2005. Cite[AAM] [DOI] [journal]
4 Performance Issues in Video Streaming Environments . Proc. of FIRB-Perf , pp. 3-14, 2005. Cite[AAM] [DOI]
3 Bottlenecks Identification in Multiclass Queueing Networks Using Convex Polytopes . Proc. of MASCOTS , pp. 223-230, 2004. Cite[AAM] [DOI]
2 Optimal Number of Nodes for Computation in Grid Environments . Proc. of PDP , pp. 282-289, 2004. Cite[AAM] [DOI]
1 Estimating bottlenecks of very large models . Performance Evaluation: Stories and Perspectives (G. Kotsis, Ed.), OCG Press , 2003. Cite[AAM]