Table of Contents

• Context-aware Root Cause Localization in Distributed Traces Using Social Network Analysis (Work In Progress paper)Mahsa Panahandeh, Naser Ezzati Jivan, Abdelwahab Hamou-Lhadj, James Miller 0001. 1-6 [doi]
• Enhancing the Performance of Deep Learning Model Based Object Detection using Parallel Processing (Work In Progress Paper)Omar Imran, Shikharesh Majumdar, Sreeraman Rajan. 7-13 [doi]
• Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUsHongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li 0006. 14-20 [doi]
• FAIR Sharing of Data in Autotuning Research (Vision Paper)Jana Hozzová, Jacob O. Tørring, Ben van Werkhoven, David Strelák, Richard Vuduc. 21-27 [doi]
• Mastering Computer Vision Inference FrameworksPierrick Pochelu, Oscar Castro-López. 28-33 [doi]
• Matrix Network Analyzer: A New Decomposition Algorithm for Phase-type Queueing Networks (Work In Progress Paper)Zhuoyuan Li, Giuliano Casale. 34-39 [doi]
• Towards Efficient Diagnosis of Performance Bottlenecks in Microservice-Based Applications (Work In Progress paper)Adel Belkhiri, Maroua Ben Attia, Felipe Göhring de Magalhães, Gabriela Nicolescu. 40-46 [doi]
• DMBench: Load Testing and Benchmarking Tool for Data MigrationFares Hamouda, Marios Fokaefs, Dariusz Jania. 47-51 [doi]
• STIGS: Spatio-Temporal Interference Graph Simulator for Self-Configurable Multi-Tenant Cloud SystemsIqra Zafar, Christian Medeiros Adriano, Holger Giese. 52-56 [doi]
• KubePlaybook: A Repository of Ansible Playbooks for Kubernetes Auto-Remediation with LLMsZakeya Namrud, Komal Sarda, Marin Litoiu, Larisa Shwartz, Ian Watts. 57-61 [doi]
• Efficient Unsupervised Latency Culprit Ranking in Distributed Traces with GNN and Critical Path AnalysisMahsa Panahandeh, Naser Ezzati Jivan, Abdelwahab Hamou-Lhadj, James Miller 0001. 62-66 [doi]
• Network Analysis of Microservices: A Case Study on Alibaba Production ClustersGhazal Khodabandeh, Alireza Ezaz, Naser Ezzati Jivan. 67-71 [doi]
• Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance AnalysisAndré Bauer 0001, Timo Dittus, Martin Straesser, Alok Kamatar, Matt Baughman, Lukas Beierlieb, Marius Hadry, Daniel Grillmeyer, Yannik Lubas, Samuel Kounev, Ian T. Foster, Kyle Chard. 72-76 [doi]
• Grammar-Based Anomaly Detection of Microservice Systems Execution TracesAndrea D'Angelo, Giordano d'Aloisio. 77-81 [doi]
• Analyzing Performance Variability in Alibaba's Microservice Architecture: A Critical-Path-Based PerspectiveAlireza Ezaz, Ghazal Khodabandeh, Naser Ezzati Jivan. 82-86 [doi]
• LLaMPS: Large Language Models Placement SystemLikhith Bandamudi, Ravi Kumar Singh, Shruti Kunde, Mayank Mishra, Rekha Singhal. 87-88 [doi]
• Into the Fire: Delving into Kubernetes Performance and Scale with Kube-burnerSai Sindhur Malleni, Raul Sevilla Canavate, Vishnu Challa. 89-90 [doi]
• SuperArch: Optimal Architecture Design for Cloud DeploymentKuldeep Singh, Chetan Phalak, Dheeraj Chahal, Shruti Kunde, Rekha Singhal. 91-92 [doi]
• AIPerf'24: 2nd International Workshop on Artificial Intelligence for Performance Modeling, Prediction, and ControlEmilio Incerto, Marin Litoiu, Daniele Masti. 93 [doi]
• Benchmarking in the Datacenter (BID): Expanding to the CloudWei-Chen Lin, Jens Domke. 94 [doi]
• GraphSys-2024: 2nd Workshop on Serverless, Extreme-Scale, and Sustainable Graph Processing SystemsAlexandru Iosup, Radu Prodan, Ana Lucia Varbanescu. 95-96 [doi]
• Linked Data Benchmark Council: 12 years of fostering competition in the graph processing spaceGábor Szárnyas. 97 [doi]
• GraphMa: Towards new Models for Pipeline-Oriented Computation on GraphsDaniel Thilo Schroeder, Tobias Herb, Brian Elvesæter, Dumitru Roman. 98-105 [doi]
• Exploring the Utility of Graph Methods in HPC Thermal ModelingBruno Guindani, Martin Molan, Andrea Bartolini, Luca Benini. 106-111 [doi]
• AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention NetworksGrafika Jati, Martin Molan, Junaid Ahmed Khan, Francesco Barchi, Andrea Bartolini, Giuseppe Mercurio, Andrea Acquaviva. 112-119 [doi]
• Enabling Operational Data Analytics for Datacenters through Ontologies, Monitoring, and Simulation-based PredictionShekhar Suman, Xiaoyu Chu, Dante Niewenhuis, Sacheendra Talluri, Tiziano De Matteis, Alexandru Iosup. 120-126 [doi]
• ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPCJunaid Ahmed Khan, Martin Molan, Matteo Angelinelli, Andrea Bartolini. 127-134 [doi]
• An Extensive Characterization of Graph Sampling AlgorithmsS. Haleh S. Dizaji, Joze M. Rozanec, Reza Farahani, Dumitru Roman, Radu Prodan. 135-140 [doi]
• Building Massive Knowledge Graphs using an Automated ETL PipelineAaron Eberhart, Wolfgang Schell, Peter Haase 0001. 141-145 [doi]
• Serverless Workflow Management on the Computing Continuum: A Mini-SurveyReza Farahani, Frank Loh, Dumitru Roman, Radu Prodan. 146-150 [doi]
• Go-Network: a graph sampling library written in GoJoze M. Rozanec, Matias Rozanec. 151-155 [doi]
• Performance Optimization in the LLM World 2024Kingsum Chow, Yu Tang, Zhiheng Lyu, Anil Rajput, Khun Ban. 156-157 [doi]
• EchoSwift: An Inference Benchmarking and Configuration Discovery Tool for Large Language Models (LLMs)Karthik Krishna, Ramana Bandili. 158-162 [doi]
• The Seventh Workshop on Hot Topics in Cloud Computing Performance (HotCloudPerf-2024)Dragi Kimovski, Klervie Toczé, Nikolas Herbst, Tiziano De Matteis. 163-164 [doi]
• Upscaling Messaging and Stateful ComputationJosef Spillner. 165 [doi]
• Engineering Serverless Application Life-cycles in Federated Serverless InfrastructuresSashko Ristov. 166 [doi]
• A Systematic Configuration Space Exploration of the Linux Kyber I/O SchedulerZebin Ren, Krijn Doekemeijer, Animesh Trivedi. 167-173 [doi]
• Baking Disaster-Proof Kubernetes Applications with Efficient RecipesRunyu Jin, Paul Muench, Travis Janssen, Brian Hatfield, Veera Deenadhayalan. 174-180 [doi]
• Empirical Evaluation of ML Models for Per-Job Power PredictionDebajyoti Halder, Manas Acharya, Aniket Malsane, Anshul Gandhi, Erez Zadok. 181-188 [doi]
• FootPrinter: Quantifying Data Center Carbon FootprintDante Niewenhuis, Sacheendra Talluri, Alexandru Iosup, Tiziano De Matteis. 189-195 [doi]
• Peeking Behind the Serverless Implementations and Deployments of the Montage WorkflowSimon Triendl, Sashko Ristov. 196-203 [doi]
• Towards a Workload Trace Archive for Metaverse SystemsRadu Apsan, Damla Ural, Paul Daniëlse, Vlad-Andrei Cursaru, Eames Trinh, Jesse Donkervliet, Alexandru Iosup. 204-210 [doi]
• Towards Geo-Distributed Training of ML Models in a Multi-Cloud EnvironmentChetan Phalak, Dheeraj Chahal, Manju Ramesh, Rekha Singhal. 211-217 [doi]
• Hypergraphs: Facilitating High-Order Modeling of the Computing ContinuumDragi Kimovski. 218-221 [doi]
• Resource Demand Profiling of Monolithic WorkflowsIvo Rohwer, Maximilian Schwinger, Nikolas Herbst, Peter Friedl, Michael Stephan, Samuel Kounev. 222-225 [doi]
• 12th International Workshop on Load Testing and Benchmarking of Software Systems: LTB'24 Chairs' WelcomeMarios-Eleftherios Fokaefs, Filipe Oliveira, Naser Ezzati Jivan. 226 [doi]
• Fastcrypto: Pioneering Cryptography Via Continuous BenchmarkingKostas Kryptos Chalkias, Jonas Lindstrøm, Deepak Maram, Ben Riva, Arnab Roy 0001, Alberto Sonnino, Joy Wang. 227-234 [doi]
• Exemplary Determination of Cgroups-Based QoS Isolation for a Database WorkloadSimon Volpert, Sascha Winkelhofer, Stefan Wesner, Daniel Seybold, Jörg Domaschka. 235-241 [doi]
• Self-Service Performance Testing Platform for Autonomous Development TeamsAleksei Vasilevskii, Oleksandr Kachur. 242-248 [doi]
• Overhead Comparison of Instrumentation FrameworksDavid Georg Reichelt, Lubomír Bulej, Reiner Jung, André van Hoorn. 249-256 [doi]
• Workshop on Challenges in Performance Methods for Software Development (WOSP-C)Luca Traini, Heng Li. 257 [doi]
• Closing the Loop: Building Self-Adaptive Software for Continuous Performance EngineeringMarin Litoiu. 258-259 [doi]
• 25+ years of Software Performance: From Integrated System Modelling to ML-based Analysis, What's Next?Vittorio Cortellessa. 260 [doi]
• HetSim: A Simulator for Task-based Scheduling on Heterogeneous HardwareMarcel Lütke Dreimann, Birte Friesel, Olaf Spinczyk. 261-268 [doi]
• Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance ModelingJonathan Will, Dominik Scheinert, Seraphin Zunzer, Jan Bode, Cedric Kring, Lauritz Thamsen. 269-272 [doi]
• Approximating Fork-Join Systems via Mixed Model TransformationsRares-Andrei Dobre, Zifeng Niu, Giuliano Casale. 273-280 [doi]
• Establish a Performance Engineering Culture in Organizations: Performance as a ValueJosef Mayrhofer. 281-286 [doi]
• Green Software MetricsAndreas Brunnert. 287-288 [doi]