Table of Contents

• RPerf: Mining User Reviews Using Topic Modeling to Assist Performance Testing: An Industrial Experience ReportZehao Wang, Wei Liu 0155, Jinfu Chen 0002, Tse-Hsun (Peter) Chen. 1 [doi]
• IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-EfficiencySaeid Ghafouri, Kamran Razavi, Mehran Salmani, Alireza Sanaee, Tania Lorido-Botran, Lin Wang 0015, Joseph Doyle, Pooyan Jamshidi. 2-3 [doi]
• Multi-Criteria Optimization of Real-Time DAGs on Heterogeneous Platforms under P-EDFTommaso Cucinotta, Alexandre M. Amory, Gabriele Ara, Francesco Paladino, Marco Di Natale. 4-5 [doi]
• SplitTracr: A Flexible Performance Evaluation Tool for Cooperative Inference and Split ComputingNicholas Bovee, Izhar Ali, Suraj Bitla, Gopi Krishna Patapanchala, Shen-Shyang Ho. 6-10 [doi]
• The Kieker Observability Framework Version 2Shinhyung Yang, David Georg Reichelt, Reiner Jung, Marcel Hansson, Wilhelm Hasselbring. 11-15 [doi]
• A Dataset of Performance Measurements and Alerts from Mozilla (Data Artifact)Mohamed Bilel Besbes, Diego Elias Costa, Suhaib Mujahid, Gregory W. Mierzwinski, Marco Castelluccio. 16-20 [doi]
• TraceLens: Early Detection of Software Anomalies Using Critical Path AnalysisMasoumeh Nourollahi, Amir Haghshenas, Michel R. Dagenais. 21-25 [doi]
• Kernel-Level Event-Based Performance Anomaly Detection in Software Systems under Varying Load ConditionsAnthonia Njoku, Heng Li 0007, Foutse Khomh. 26-30 [doi]
• Improving Runtime Performance in Java: A Systematic Detection and Refactoring Approach for Lock Contention Code Smells (Work In progress paper)Ankita Mukherjee, Ashadullah Shawon, Md. Asif Khan, Joseph Robertson, Ramiro Liscano, Akramul Azim, Vijay Sundaresan, Yee-Kang Chang. 31-37 [doi]
• Modeling And Optimizing Runtime Adaptation Strategies At Design-Time Using Evolutionary Algorithms (Idea Paper)Martina Rapp, Max Scheerer, Ralf Sieger, Ralf H. Reussner, Raffaela Mirandola. 38-46 [doi]
• Optimizing Memory Access Patterns through Automatic Data Layout Transformation (Work in Progress Paper)Jolly Chen, Ana Lucia Varbanescu, Axel Naumann. 47-53 [doi]
• LogAn: An LLM-Based Log Analytics Tool with Causal InferencingPranjal Gupta, Karan Bhukar, Harshit Kumar, Seema Nagar, Prateeti Mohapatra, Debanjana Kar. 54-56 [doi]
• COQO: Cost-Optimal Query Orchestration ToolKuldeep Singh, Ravi Kumar Singh, Shruti Kunde, Mayank Mishra, Rekha Singhal, Manoj Nambiar 0001. 57-58 [doi]
• Serverless Orchestration on the Edge-Cloud Continuum: Challenges and SolutionsReza Farahani, Radu Prodan. 59 [doi]
• Next Generation Energy Efficiency Benchmarking: Reliable and Reproducible Efficiency Measurements in a Diverse IT-LandscapeMaximilian Meissner, Klaus-Dieter Lange, Aaron Cragin, Pushpa H. J, Robert Proulx, Samuel Kounev. 60-64 [doi]
• WEPPE25: 5th Workshop on Education and Practice of Performance EngineeringAlberto Avritzer, Matteo Camilli, James J. Cusick, Andrea Janes. 65 [doi]
• From the Deep End to Coaching Others in the Performance PoolJames J. Cusick. 66-67 [doi]
• cfdSCOPE: A Fluid-Dynamics Proxy App for Teaching Performance EngineeringPeter Arzt, Sebastian Kreutzer, Tim Jammer, Christian H. Bischof. 68-75 [doi]
• Overcoming Challenges in Teaching Performance Related ToolsCatalina M. Lladó. 76-80 [doi]
• Cultivating Performance Awareness in a Testing Project: A Focus on Machine-Readable Travel DocumentsLu Xiao 0001, André B. Bondi, Eman Abdullah AlOmar, Yu Tao. 81-86 [doi]
• Guerrilla Techniques for Robust Performance EngineeringNeil J. Gunther. 87-88 [doi]
• Performance Engineering: New and Conflicting TrendsAlexander Podelko. 89-90 [doi]
• How can we Teach Workload Modeling in CS Systems Classes? [Invited Talk]Cristina L. Abad. 91-92 [doi]
• AIPerfLLM: 3rd International Workshop on Performance Optimization in the LLM worldKingsum Chow, Emilio Incerto, Marin Litoiu, Zhihao Chang, Anil Rajput, Khun Ban, Daniele Masti, Zhiheng Lyu. 93-94 [doi]
• Retrieval Augmented Generation Fine-Tuned LLM Model for Code Recommendations to Mitigate Lock ContentionAshadullah Shawon, Ramiro Liscano, Akramul Azim, Vijay Sundaresan, Yee-Kang Chang. 95-102 [doi]
• ConsciousLLM: The Future of Intelligent Deployment of Self-aware ModelsRavi Kumar Singh, Shruti Kunde, Mayank Mishra, Rekha Singhal, Manoj Nambiar 0001. 103-108 [doi]
• RAGuru: A Tool to Create and Automatically Deploy Workload Optimized RAGArchisman Bhowmick, Rishikesh S, Ashay Taksande, Kuldeep Singh, Mayank Mishra, Rekha Singhal. 109-113 [doi]
• RAGs to Riches: Cost-efficient Complex Query OrchestrationRavi Kumar Singh, Kuldeep Singh, Shruti Kunde, Mayank Mishra, Rekha Singhal, Manoj Nambiar 0001. 114-120 [doi]
• LTB25: 13th International Workshop on Load Testing and Benchmarking of Software SystemsStephen Fan, Lizhi Liao, Zhenhao Li 0002. 121 [doi]
• Towards eBPF Overhead Quantification: An Exemplary Comparison of eBPF and SystemTapSimon Volpert, Sascha Winkelhofer, Jörg Domaschka, Stefan Wesner. 122-129 [doi]
• EMU-LLM: Emulators for Performance Evaluation of LLM-based ApplicationsDeeksha Deeksha, Ashwin Krishnan, Manoj Nambiar 0001. 130-135 [doi]
• DMML: A Machine-learning Performance Model for Data MigrationHasti Ghaneshirazi, Fares Hamouda, Marios Fokaefs, Wejdene Haouari, Dariusz Jania. 136-143 [doi]
• Scientific Computing Energy Footprinting Across CPU GenerationsJacob D. Hauenstein, Timothy S. Newman. 144-151 [doi]
• HotCloudPerf'25 Workshop Chairs' WelcomeKlervie Toczé, André Bauer 0002, Dragi Kimovski, Daniele Bonetta. 152-153 [doi]
• GenAI for bottleneck Detection in Cloud ArchitectureSharod Roy Choudhury, Dheeraj Chahal, Chetan Phalak, Manju Ramesh, Rekha Singhal. 154-161 [doi]
• Investigating Performance Overhead of Distributed Tracing in Microservices and Serverless SystemsAnders Nõu, Sacheendra Talluri, Alexandru Iosup, Daniele Bonetta. 162-166 [doi]
• IrisBench: An Open-Source Benchmark Suite for Video Processing Systems in CloudZhiqi Li, Ruiqi Yu, Jianshu Liu. 167-173 [doi]
• Remote Memory Prefetching: Is Coarse-grained Fine?James McMahon, Vinita Pawar, Ryan Stutsman. 174-179 [doi]
• ObjecTier: Non-Invasively Boosting Memory Tiering PerformanceVinita Pawar, Ankit Bhardwaj, Ryan Stutsman. 180-186 [doi]
• FAILS: A Framework for Automated Collection and Analysis of LLM Service IncidentsSándor Battaglini-Fischer, Nishanthi Srinivasan, Bálint László Szarvas, Xiaoyu Chu, Alexandru Iosup. 187-194 [doi]
• Introducing Resource Awareness Levels in Edge Computing Resource ManagementKlervie Toczé. 195-198 [doi]
• Microservice Applications and Their Workloads on GitHubYannik Lubas, Martin Straesser, Ivo Rohwer, Samuel Kounev, André Bauer 0001. 199-205 [doi]
• Benchmarking in the Data Center: Expanding to the CloudKaushik Velusamy, Awais Khan. 206 [doi]
• AutoBench: A Holistic Platform for Automated and Reproducible Benchmarking in HPC TestbedsArjun Parab, Amir Raoofy, Leon Spörl, Stefan Dimitrov, Matthew Tovey, Josef Weidendorfer. 207-214 [doi]
• Performance Tools for the NEC SX-Aurora TsubasaChristian von Elm, Robert Schöne. 215-222 [doi]