Abstract is missing.
- Incremental Change Detection Method For Data Center Power Efficiency Metrics (Work In Progress Paper)Jana Backhus, Yasutaka Kono. 1-7 [doi]
- Design-time Performability Evaluation of Runtime Adaptation Strategies (Work In Progress Paper)Martina Rapp, Max Scheerer, Ralf H. Reussner. 9-15 [doi]
- Event-based Simulation for Transient Systems with Capture Replay to Predict Self-Adaptive Systems (Work in Progress Paper)Sarah Stieß, Stefan Höppner, Steffen Becker 0001, Matthias Tichy. 17-23 [doi]
- Transparent Trace Annotation for Performance Debugging in Microservice-oriented Systems (Work In Progress Paper)Adel Belkhiri, Ahmad Shahnejat Bushehri, Felipe Gohring de Magalhaes, Gabriela Nicolescu. 25-32 [doi]
- Visualizing Runtime Evolution Paths in a Multidimensional Space (Work In Progress Paper)Hagen Tarner, Fabian Beck 0001. 33-38 [doi]
- Enhancing the Configuration Tuning Pipeline of Large-Scale Distributed Applications Using Large Language Models (Idea Paper)Gagan Somashekar, Rajat Kumar. 39-44 [doi]
- A Case of Multi-Resource Fairness for Serverless Workflows (Work In Progress Paper)Amit Samanta, Ryan Stutsman. 45-50 [doi]
- Challenges and Future Directions in Efficiency Benchmarking (Vision Paper)Maximilian Meissner, Klaus-Dieter Lange, Sanjay Sharma, Jeremy A. Arnold, Aaron Cragin, Patrick Galizia, Mike Petrich, Bin Zhang, Samuel Kounev. 51-55 [doi]
- A Reference Architecture for Datacenter Scheduler Programming Abstractions: Design and Experiments (Work In Progress Paper)Aratz Manterola Lasa, Sacheendra Talluri, Alexandru Iosup. 57-63 [doi]
- GraalVM Compiler Benchmark Results Dataset (Data Artifact)Lubomír Bulej, Vojtech Horký, Michele Tucci 0001, Petr Tuma 0001, François Farquet, David Leopoldseder, Aleksandar Prokopec. 65-69 [doi]
- Uncovering Steady State Executions in Java Microbenchmarking with Call Graph AnalysisMadeline Janecek, Sneh Patel, Naser Ezzati Jivan. 71-75 [doi]
- A Study of Java Microbenchmark Tail LatenciesSen He 0002, In Kee Kim, Wei Wang 0054. 77-81 [doi]
- Efficient Data Processing: Assessing the Performance of Different Programming LanguagesLukas Beierlieb, André Bauer 0001, Robert Leppich, Lukas Iffländer, Samuel Kounev. 83-87 [doi]
- Analysing Static Source Code Features to Determine a Correlation to Steady State Performance in Java MicrobenchmarksJared Chad Swanzen, Kyle Thomas Botes, Husnaa Molvi, Omphile Monchwe, Dan Phala, Dustin van der Haar. 89-93 [doi]
- Searching for the Ground Truth: Assessing the Similarity of Benchmarking RunsAndré Bauer 0001, Martin Straesser, Mark Leznik, Lukas Beierlieb, Marius Hadry, Nathaniel Hudson, Kyle Chard, Samuel Kounev, Ian T. Foster. 95-99 [doi]
- Identification and Classification of JMH Microbenchmark States using Time Series AnalysisTom Wallace, Beatrice M. Ombuki-Berman, Naser Ezzati Jivan. 101-105 [doi]
- Software Mining - Investigating Correlation between Source Code Features and Michrobenchmark's Steady StateAmirmahdi Khosravi Tabrizi, Naser Ezzati Jivan. 107-111 [doi]
- Towards Evaluation/Mitigation Risk of Systemic Failures in a Recoverable Network with Redistributed Elastic LoadVladimir Marbukh. 115-116 [doi]
- Challenges and Possible Approaches for Sustainable Digital TwinningStijn Bellis, Joachim Denil. 117-118 [doi]
- PerfoRT: A Tool for Software Performance RegressionPaulo Roberto Farah, Silvia Regina Vergilio. 119-120 [doi]
- Parallel Performance Engineering using Score-P and VampirWilliam Williams, Holger Brunst. 121-125 [doi]
- Core-Level Performance Engineering with the Open-Source Architecture Code Analyzer (OSACA) and the Compiler ExplorerJan Laukemann, Georg Hager. 127-131 [doi]
- ICPE'23 AIPerf Workshop Chairs' WelcomeEmilio Incerto, Marin Litoiu, Riccardo Pinciroli. 133 [doi]
- Let's Take Back Control: A Journey through a Novel Generation of Control Techniques for Performance EngineeringDaniele Masti. 135 [doi]
- Using Reinforcement Learning to Control Auto-Scaling of Distributed ApplicationsGabriele Russo Russo. 137-138 [doi]
- OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua ApplicationsEnrico Galimberti, Bruno Guindani, Federica Filippini, Hamta Sedghani, Danilo Ardagna, Germán Moltó, Miguel Caballer. 139-146 [doi]
- Towards Novel Statistical Methods for Anomaly Detection in Industrial ProcessesSimone Tonini, Fernando Barsacchi, Francesca Chiaromonte, Daniele Licari, Andrea Vandin. 147-153 [doi]
- ICPE'23 Fast Continuum Workshop Chairs' WelcomeDanilo Ardagna, Elisabetta Di Nitto, Lorenzo Blasi, Francesc Lordan. 155 [doi]
- On the Acceleration of FaaS Using Remote GPU VirtualizationDiana M. Naranjo Delgado, Manuel Contreras, Germán Moltó, Sebastián Risco, Ignacio Blanquer, Javier Prades, Federico Silla. 157-164 [doi]
- A Pattern-based Function and Workflow Visual Environment for FaaS Development across the ContinuumGeorge Kousiouris, Szymon Ambroziak, Blazej Zarzycki, Domenico Costantino, Stylianos Tsarsitalidis, Vasileios Katevas, Alessandro Mamelli, Teta Stamati. 165-172 [doi]
- Heterogeneous Datasets for Federated Survival Analysis SimulationAlberto Archetti, Eugenio Lomurno, Francesco Lattari, André Martin, Matteo Matteucci. 173-180 [doi]
- Continuum: Automate Infrastructure Deployment and Benchmarking in the Compute ContinuumMatthijs Jansen, Linus Wagner, Animesh Trivedi, Alexandru Iosup. 181-188 [doi]
- Challenges Towards Modeling and Generating Infrastructure-as-CodeGalia Novakova Nedeltcheva, Bin Xiang, Laurentiu Niculut, Debora Benedetto. 189-193 [doi]
- IEM: A Unified Lifecycle Orchestrator for Multilingual IaC DeploymentsJosu Díaz-de-Arcaya, Eneko Osaba, Gorka Benguria, Iñaki Etxaniz, Jesus L. Lobo, Juncal Alonso, Ana I. Torre-Bastida, Aitor Almeida. 195-199 [doi]
- Security in DevSecOps: Applying Tools and Machine Learning to Verification and Monitoring StepsMatija Cankar, Nenad Petrovic, João Pita Costa, Ales Cernivec, Jan Antic, Tomaz Martincic, Dejan Stepec. 201-205 [doi]
- ICPE'23 GraphSys Workshop Chairs Introduction (Welcome)Alexandru Iosup, Radu Prodan. 207-208 [doi]
- Graph Greenifier: Towards Sustainable and Energy-Aware Massive Graph Processing in the Computing ContinuumAlexandru Iosup, Radu Prodan, Ana Lucia Varbanescu, Sacheendra Talluri, Gilles Magalhaes, Kailhan Hokstam, Hugo Zwaan, Vincent van Beek, Reza Farahani, Dragi Kimovski. 209-214 [doi]
- metaphactory for Massive GraphsAaron Eberhart, Peter Haase 0001, Wolfgang Schell. 215-220 [doi]
- Towards Sustainable Serverless Processing of Massive Graphs on the Computing ContinuumReza Farahani, Dragi Kimovski, Sashko Ristov, Alexandru Iosup, Radu Prodan. 221-226 [doi]
- Large-scale Graph Processing and Simulation with Serverless Workflows in Federated FaaSSashko Ristov, Reza Farahani, Radu Prodan. 227-231 [doi]
- Boosting the Impact of Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe Graph-Massivizer: A Horizon Europe ProjectNuria de Lama Sanchez, Peter Haase 0001, Dumitru Roman, Radu Prodan. 233-238 [doi]
- Graph Neural Networks for Anomaly Anticipation in HPC SystemsMartin Molan, Junaid Ahmed Khan, Andrea Borghesi, Andrea Bartolini. 239-244 [doi]
- Semi-Supervised Event Predictions with Graph NetworksPeter Nemec, Gregor Leban, Joze M. Rozanec, Marko Grobelnik. 245-246 [doi]
- AI, What Does the Future Hold for Us? Automating Strategic ForesightJoze M. Rozanec, Peter Nemec, Gregor Leban, Marko Grobelnik. 247-248 [doi]
- Extreme and Sustainable Graph Processing for Green Finance Investment and TradingLaurentiu Alexandru Vasiliu, Dumitru Roman, Radu Prodan. 249-250 [doi]
- Graph-Scrutinizer: Towards Massive Graph Analytics and ReasoningJoze M. Rozanec, Michael Cochez, Ruud van Bakel, Brian Elvesæter, Dumitru Roman. 251-252 [doi]
- Graph-Inceptor: Towards Extreme Data Ingestion, Massive Graph Creation and StorageJoze M. Rozanec, Brian Elvesæter, Dumitru Roman, Marko Grobelnik, Peter Haase 0001. 253-254 [doi]
- Graph-Optimizer: Towards Predictable Large-Scale Graph Processing WorkloadsAna Lucia Varbanescu, Andrea Bartolini. 255-256 [doi]
- HotCloudPerf'23 Workshop Chairs' WelcomeKlervie Toczé, Cristina L. Abad, Nikolas Herbst, Alexandru Iosup. 257-258 [doi]
- Scaling the Metaverse: An AI PerspectiveTania Lorido-Botran. 259-260 [doi]
- Using Cloud Native Technologies to Understand the Performance of Cloud Native TechnologiesCristian Klein. 261 [doi]
- How Do ML Jobs Fail in Datacenters? Analysis of a Long-Term Dataset from an HPC ClusterXiaoyu Chu, Sacheendra Talluri, Laurens Versluis, Alexandru Iosup. 263-268 [doi]
- Securing the Execution of ML Workflows across the Compute ContinuaFrancesc-Josep Lordan Gomis, André Martin, Daniele Lezzi. 269-276 [doi]
- Hitchhiker's Guide for Explainability in AutoscalingFloriment Klinaku, Sandro Speth, Markus Zilch, Steffen Becker 0001. 277-282 [doi]
- Enhancing Trace Visualizations for Microservices Performance AnalysisJessica Léone, Luca Traini. 283-287 [doi]
- Performance Experiences From Running An E-health Inference Process As FaaS Across Diverse ClustersGeorge Kousiouris, Aristodemos Pnevmatikakis. 289-295 [doi]
- Can My WiFi Handle the Metaverse? A Performance Evaluation Of Meta's Flagship Virtual Reality HardwareMatthijs Jansen, Jesse Donkervliet, Animesh Trivedi, Alexandru Iosup. 297-303 [doi]
- LTB'23 Workshop Chairs' WelcomeAlexander Podelko, Heng Li, Changyuan Lin. 305 [doi]
- Understanding and Improving Software Performance at MongoDBDavid Daly. 307 [doi]
- Serverless Computing Revisited: Evolution, State-of-the-Art, and Performance ChallengesSamuel Kounev. 309-310 [doi]
- Using eBPF for Database Workload Tracing: An Explorative StudyJörg Domaschka, Simon Volpert, Kevin Maier, Georg Eisenhart, Daniel Seybold. 311-317 [doi]
- Verifying Transient Behavior Specifications in Chaos Engineering Using Metric Temporal Logic and Property Specification PatternsSebastian Frank 0001, M. Alireza Hakamian, Denis Zahariev, André van Hoorn. 319-326 [doi]
- ICPE'23 PFAIR Workshop Chairs IntroductionJay F. Lofstead, Paula Olaya. 327 [doi]
- FAIR Enabling Re-Use of Data-Intensive Workflows and Scientific ReproducibilityLine C. Pouchard. 329 [doi]
- Automatic FAIR Provenance Collection and Visualization for Time SeriesFadoua Rafii, Horacio González-Vélez, Adriana E. Chis. 331-336 [doi]
- WEPPE'23 Workshop Chairs' WelcomeAlberto Avritzer, Matteo Camilli. 337 [doi]
- Performance Engineering Practices for Modern Industrial Applications at ABB ResearchHeiko Koziolek. 339 [doi]
- Quantitative Analysis of Software Designs: Teaching Design and ExperiencesM. Alireza Hakamian, Steffen Becker 0001. 341-344 [doi]
- Early Progress on Enhancing Existing Software Engineering Courses to Cultivate Performance AwarenessAndré Benjamin Bondi, Lu Xiao. 345-349 [doi]
- Theory and Practice in Performance Evaluation Courses: The Challenge of Online TeachingAndrea Marin. 351-354 [doi]
- Levelling up Performance and Performance Skills at MongoDBDavid Daly. 355 [doi]
- Views From the Trenches: Current Trends in Performance EngineeringAlexander Podelko. 357-359 [doi]
- Performance Analysis Tools for MPI Applications and their Use in Programming EducationAnna-Lena Roth, Tim Süß. 361-368 [doi]
- 8th Workshop on Challenges in Performance Methods for Software Development: WOSP-C'23 Chairs' WelcomeDaniele Di Pompeo, Michele Tucci 0001. 369 [doi]
- Non-Volatile Hardware Transactional Memory: Challenges, Advancements, and Future DirectionsPaolo Romano 0002. 371 [doi]
- From UML/MARTE Specifications to ESL HW/SW Co-Design: Early Functional Verification and Timing ValidationVittorio Cortellessa, Luigi Pomante, Vincenzo Stoico. 373-380 [doi]
- Towards Solving the Challenge of Minimal Overhead MonitoringDavid Georg Reichelt, Stefan Kühne, Wilhelm Hasselbring. 381-388 [doi]
- Heuristic Derivation of a Fluid Model from a Layered Queueing NetworkC. Murray Woodside. 389-395 [doi]
- dqualizer: Domain-Centric Runtime Quality Analysis of Business-Critical Application SystemsSebastian Frank 0001, Julian Brott, Dominik Kesim, Heiko Holz, Matthias Eschhold, André van Hoorn. 397-404 [doi]