Accepted Papers

Research Track

  • Developing Index Structures in Persistent Memory Using Spot-on Optimizations with DRAM - Xingsheng Zhao, Venkata Naga Prajwal Challa, Chen Zhong, Song Jiang

  • Using Evolutionary Algorithms to Find Cache-Friendly Generalized Morton Layouts for Arrays - Stephen Nicholas Swatman, Ana-Lucia Varbanescu, Andy D. Pimentel, Andreas Salzburger, Attila Krasznahorkay

  • A Learning-Based Caching Mechanism for Edge Content Delivery - Hoda Torabi, Hamzeh Khazaei, Marin Litoiu

  • The Cost of Simplicity: Understanding Datacenter Scheduler Programming Abstractions - Aratz Manterola Lasa, Sacheendra Talluri, Tiziano De Matteis, Alexandru Iosup

  • Energy Efficiency Features of the Intel Alder Lake Architecture - Robert Schoene, Markus Velten, Daniel Hackenberg, Thomas Ilsche

  • Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems - Benjamin Jakob Jules Pfister, Dominik Scheinert, Morgan Karl Geldenhuys, Odej Kao

  • Systemizing and mitigating topological inconsistencies in Alibaba’s microservice call-graph datasets - Darby Huye, Lan Liu, Raja Sambasivan

  • An Empirical Analysis of Common OCI Runtimes' Performance Isolation Capabilities - Simon Volpert, Sascha Winkelhofer, Stefan Wesner, Jörg Domaschka

  • Disambiguating Performance Anomalies from Workload Changes in Cloud-Native Applications - Alexandru Baluta, Yar Rouf, Joydeep Mukherjee, Zhen Ming Jiang, Marin Litoiu

  • Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization - Morgan Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen

  • Time Series Forecasting of Runtime Software Metrics: An Empirical Study - Federico Di Menna, Luca Traini, Vittorio Cortellessa

  • MemSaver: Enabling an All-in-memory Switch Experience for Many Apps in a Smartphone - Venkata Naga Prajwal Challa, Barry Song, Song Jiang

  • Vectorized Intrinsics Can Be Replaced with Pure Java Code without Impairing Steady-State Performance - Júnior Löff, Filippo Schiavio, Andrea Rosà, Matteo Basso, Walter Binder

  • An Experimental Setup to Evaluate RAPL Energy Counters for Heterogeneous Memory - Lukas Alt, Anara Kozhokanova, Thomas Ilsche, Christian Terboven, Matthias Mueller

  • BFQ, Multiqueue-Deadline, or Kyber? Performance Characterization of Linux Storage Schedulers in the NVMe Era - Zebin Ren, Krijn Doekemeijer, Nick Tehrany, Animesh Trivedi

  • Processing Natural Language on Embedded Devices: How Well Do Modern Models Perform? - Souvika Sarkar, Mohammad Fakhruddin Babar, Md Mahadi Hassan, Monowar Hasan, Shubhra Kanti Karmaker

  • Accelerating ML Workloads using GPU Tensor Cores: The Good, the Bad, and the Ugly - Bagus Hanindhito, Lizy K. John

  • Function Offloading and Data Migration for Stateful Serverless Edge Computing - Matteo Nardelli, Gabriele Russo Russo

Industrial Track

  • TBASCEM - Tight Bounds with Arrival and Service Curve Estimation by Measurements - Christoph Funda, Thomas Herpel, Reinhard German, Kai-Steffen Hielscher

  • An Adaptive Logging System (ALS): Enhancing Software Logging with Reinforcement Learning Techniques - Amirmahdi Khosravi Tabrizi, Naser Ezzati-Jivan, Francois Tetreault

  • MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes - Xiaolong Ma, Feng Yan, Lei Yang, Ian Foster, Michael Papka, Zhengchun Liu, Rajkumar Kettimuthu

  • ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks - Sören Henning, Adriano Vogel, Michael Leichtfried, Otmar Ertl, Rick Rabiser

  • No clash on cache: observations from a multi-tenant ecommerce platform - Anna Lira, Ruan Alves, Thiago Emmanuel Pereira, Fabio Morais, Mariana Mendes, João Ramalho

  • Rethinking ‘Complement’ Recommendations at Scale with SIMD - Shrey Pandey, Saikat Kumar Das, Hrishikesh Ganu, Satyajeet Singh

  • Left-overs for LLaMA - Ravi Singh, Likhith Bandamudi, Shruti Kunde, Mayank Mishra, Rekha Singhal

  • InstantOps: A Joint Approach to System Failure Prediction and Root Cause Identification in Microservices Cloud-Native Applications - Mohammadreza Rasolroveicy, Raphael Rouf, Marin Litoiu, Ian Watts, Seema Nagar, Prateeti Mohapatra, Pranjal Gupta

Journal First Track

  • ServiceAnomaly: An anomaly detection approach in microservices using distributed traces and profiling metrics - Mahsa Panahandeh, Abdelwahab Hamou-Lhadj, Mohammad Hamdaqa and James Miller

  • Benchmarking Scalability of Stream Processing Frameworks Deployed as Microservices in the Cloud - Sören Henning and Wilhelm Hasselbring

  • The Globus Compute Dataset: An Open Function-as-a-Service Dataset from the Edge to the Cloud - André Bauer, Haochen Pan, Ryan Chard, Yadu Babuji, Josh Bryan, Devesh Tiwari, Ian Foster and Kyle Chard

Emerging Research Track

  • Towards Efficient Diagnosis of Performance Bottlenecks in Microservice-Based Applications (Work In Progress paper) - Dr. Adel Belkhiri, Maroua Ben Attia, Felipe Gohring de Magalhaes, Gabriela Nicolescu

  • Mastering Computer Vision Inference Frameworks (Work In Progress Paper) - Pierrick Pochelu, Oscar Castro Lopez

  • Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs (Vision Paper) - Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin Barker, Ang Li

  • 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

  • Enhancing the Performance of Deep Learning Model Based Object Detection using Parallel Processing (Work In Progress Paper) - Omar Imran, Shikharesh Majumdar, Sreeraman Rajan

  • FAIR Sharing of Data in Autotuning Research (Vision Paper) - Jana Hozzová, Jacob O. Tørring, Ben van Werkhoven, David Střelák, Richard Vuduc

  • Matrix Network Analyzer: a New Decomposition Algorithm for Phase-type Queueing Networks (Work in Progress Paper) - Zhuoyuan Li, Giuliano Casale

Artifact Evaluation Track

  • KubePlaybook: A Repository of Ansible Playbooks for Kubernetes Auto-Remediation with LLMs (Data Artifact) - Zakeya Namrud, Komal Sarda, Marin Litoiu, Larisa Shwartz, Ian Watts

  • STIGS: Spatio-Temporal Interference Graph Simulator for Self-Configurable Multi-Tenant Cloud Systems (Tool Artifact) - Iqra Zafar, Christian M. Adriano, Holger Giese

  • DMBench: Load Testing and Benchmarking Tool for Data Migration (Tool Artifact) - Fares Hamouda, Marios Fokaefs, Dariusz Jania

Data Challenge Track

  • Efficient Unsupervised Latency Culprit Ranking in Distributed Traces with GNN and Critical Path Analysis - Mahsa Panahandeh, Naser Ezzati-Jivan, Abdelwahab Hamou-Lhadj and James Miller

  • Network Analysis of Microservices: A Case Study on Alibaba Production Clusters - Ghazal Khodabandeh, Alireza Ezaz and Naser Ezzati-Jivan

  • Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis - André Bauer, Timo Dittus, Martin Straesser, Alok Kamatar, Matt Baughman, Lukas Beierlieb, Marius Hadry, Daniel Grillmeyer, Yannik Lubas, Samuel Kounev, Ian Foster and Kyle Chard

  • Grammar-Based Anomaly Detection of Microservice Systems Execution Traces - Andrea D’Angelo and Giordano d’Aloisio

  • Analyzing Performance Variability in Alibaba’s Microservice Architecture: A Critical-Path-Based Perspective - Alireza Ezaz, Ghazal Khodabandeh and Naser Ezzati-Jivan