stress-ng

stress-ng Citations

• Linux kernel performance test tool

2015:

• An Investigation of CPU utilization relationship between host and guests in a Cloud infrastructure
• CoMA: Resource Monitoring of Docker Containers
• Enhancing Cloud energy models for optimizing datacenters efficiency
• Tejo: A Supervised Anomaly Detection Scheme for NewSQL Databases

2016:

• A Virtual Network Function Workload Simulator
• Characterizing and Reducing Cross-Platform Performance Variability Using OS-level Virtualization
• CPU and memory performance analysis on dynamic and dedicated resource allocation using XenServer in Data Center environment
• DevOps for IoT Applications using Cellular Networks and Cloud
• How much power does your server consume? Estimating wall socket power using RAPL measurements
• Increasing Platform Determinism PQOS DPDK
• Towards Energy Efficient Data Management in HPC: The Open Ethernet Drive Approach
• UIE: User-centric Interference Estimation for Cloud Applications

2017:

• Advanced concepts and tools for renewable energy supply of Data Centres
• Algorithms and Architectures for Parallel Processing
• Auto-scaling of Containers: the impact of Relative and Absolute Metrics
• Cloud Orchestration at the Level of Application
• Effectively Measure and Reduce Kernel Latencies for Real time Constraints
• Elastic-PPQ: A two-level autonomic system for spatial preference query processing over dynamic data stream
• Experience Report: Log Mining using Natural Language Processing and Application to Anomaly Detection
• Experimental and numerical analysis for potential heat reuse in liquid cooled data centres
• Measuring the impacts of the Preempt-RT patch
• Mixed time-criticality process interferences characterization on a multicore Linux system
• Modeling and Analysis of Performance under Interference in the Cloud
• Monitoring and Analysis of CPU load relationships between Host and Guests in a Cloud Networking Infrastructure
• Monitoring and Modelling Open Compute Servers
• OpenEPC integration within 5GTN as an NFV proof of concept
• Practical analysis of the Precision Time Protocol under different types of system load
• Reliable Library Identification Using VMI Techniques
• Testing the Windows Subsystem for Linux
• Time-Aware Dynamic Binary Instrumentation
• Towards Virtual Machine Energy-Aware Cost Prediction in Clouds

2018:

• FECBench: An Extensible Framework for Pinpointing Sources of Performance Interference in the Cloud-Edge Resource Spectrum
• quiho: Automated Performance Regression Testing Using Inferred Resource Utilization Profiles
• Hypervisor and Virtual Machine Memory Optimization Analysis
• Multicore Emulation on Virtualised Environment
• Quantifying the Interaction Between Structural Properties of Software and Hardware in the ARM Big.LITTLE Architecture
• RAPL in Action: Experiences in Using RAPL for Power Measurements
• Real-Time testing with Fuego
• Stress-SGX : Load and Stress your Enclaves for Fun and Profit

2019:

• A study on performance measures for auto-scaling CPU-intensive containerized applications
• Analysis and Detection of Cache-Based Exploits
• Anomaly Detection in NFV Using Tree-Based Unsupervised Learning Method
• Estimating Cloud Application Performance Based on Micro-Benchmark Profiling
• kMVX: Detecting Kernel Information Leaks with Multi-variant Execution
• Performance Isolation of Co-located Workload in a Container-based Vehicle Software Architecture
• Scalability of Kubernetes Running Over AWS
• Scavenger: A Black-Box Batch Workload Resource Manager for Improving Utilization in Cloud Environments

2020:

• A Performance Analysis of Hardware-assisted Security Technologies
• C-Balancer: A System for Container Profiling and Scheduling
• Demystifying the Real-Time Linux Scheduling Latency
• Green Cloud Software Engineering for Big Data Processing
• Latency-aware Resource Management in Data Centres
• Low Energy Consumption on Post-Moore Platforms for HPC Research
• Managing Latency in Edge-Cloud Environment
• Modelling VM Latent Characteristics and Predicting Application Performance using Semi-supervised Non-negative Matrix Factorization
• Performance and Energy Trade-Offs for Parallel Applications on Heterogeneous Multi-Processing Systems
• Real-Time Detection for Cache Side Channel Attack using Performance Counter Monitor
• Real-time performance assessment using fast interrupt request on a standard Linux kernel
• Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments
• Subverting Linux’ Integrity Measurement Architecture

2021:

• A Generalized Approach For Practical Task Allocation Using A MAPE-K Control Loop]
• An Empirical Study of Thermal Attacks on Edge Platforms
• Evaluating Latency in Multiprocessing Embedded Systems for the Smart Grid
• Experimental Analysis in Hadoop MapReduce: A Closer Look at Fault Detection and Recovery Techniques
• FIRESTARTER 2: Dynamic Code Generation for Processor Stress Tests
• Performance Characteristics of the BlueField-2 SmartNIC
• Performance comparison between a Kubernetes cluster and an embedded system
• Performance Exploration of Virtualization Systems
• PTEMagnet: Fine-Grained Physical Memory Reservation for Faster Page Walks in Public Clouds
• Sage: Practical & Scalable ML-Driven Performance Debugging in Microservices
• Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains
• Streamline: A Fast, Flushless Cache Covert-Channel Attack by Enabling Asynchronous Collusion
• The Price of Meltdown and Spectre: Energy Overhead of Mitigations at Operating System Level
• Towards Independent Run-time Cloud Monitoring
• Tricking Hardware into Efficiently Securing Software
• WattEdge: A Holistic Approach for Empirical Energy Measurements in Edge Computing
• Work-in-Progress: Timing Diversity as a Protective Mechanism

2022:

• A general method for evaluating the overhead when consolidating servers: performance degradation in virtual machines and containers
• Achieving Isolation in Mixed-Criticality Industrial Edge Systems with Real-Time Containers
• Design and Implementation of Machine Learning-Based Fault Prediction System in Cloud Infrastructure
• Don’t Mesh Around: Side-Channel Attacks and Mitigations on Mesh Interconnects
• Evaluation of Real-Time Linux on RISC-V processor architecture
• Evaluating Secure Enclave Firmware Development for Contemporary RISC-V WorkstationsContemporary RISC-V Workstation
• FedComm: Understanding Communication Protocols for Edge-based Federated Learning
• Hertzbleed: Turning Power Side-Channel Attacks Into Remote Timing Attacks on x86
• Machine Learning based Interference Modelling in Cloud-Native Applications
• Performance Implications for Multi-Core RISC-V Systems with Dedicated Security Hardware
• The TSN Building Blocks in Linux
• uKharon: A Membership Service for Microsecond Applications

2023:

• A 2-Phase Strategy for Intelligent Cloud Operations
• A Comprehensive Study on Optimizing Systems with Data Processing Units
• A Methodology and Framework to Determine the Isolation Capabilities of Virtualisation Technologies
• A Modular Approach to Design an Experimental Framework for Resource Management Research
• A Performance Evaluation of Embedded Multi-core Mixed-criticality System Based on PREEMPT RT Linux
• Adaptation of Parallel SaaS to Heterogeneous Co-Located Cloud Resources
• An Empirical Study of Resource-Stressing Faults in Edge-Computing Applications
• Cloud White: Detecting and Estimating QoS Degradation of Latency-Critical Workloads in the Public Cloud
• Considerations for Benchmarking Network Performance in Containerized Infrastructures
• Data Leakage in Isolated Virtualized Enterprise Computing SystemsSystems
• Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow
• Dynamic Resource Management for Cloud-native Bulk Synchronous Parallel Applications
• EnergAt: Fine-Grained Energy Attribution for Multi-Tenancy
• Enhancing Empirical Software Performance Engineering Research with Kernel-Level Events: A Comprehensive System Tracing Approach
• Estimating Cloud Application Performance Based on Micro-Benchmark Profiling
• Experimental and numerical analysis of the thermal behaviour of a single-phase immersion-cooled data centre
• Feasibility Study for a Python-Based Embedded Real-Time Control System
• Fight Hardware with Hardware: System-wide Detection and Mitigation of Side-Channel Attacks using Performance Counters
• Finding flaky tests in JavaScript applications using stress and test suite reordering
• Green coding : an empirical approach to harness the energy consumption ofsoftware services
• Gotham Testbed: a Reproducible IoT Testbed for Security Experiments and Dataset Generation
• Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention
• Introducing k4.0s: a Model for Mixed-Criticality Container Orchestration in Industry 4.0
• Lightweight Implementation of Per-packet Service Protection in eBPF/XDP
• Profiling with Trust: System Monitoring from Trusted Execution Environments
• Quantifying the Security Profile of Linux Applications
• PSPRAY: Timing Side-Channel based Linux Kernel Heap Exploitation Technique
• Robust and accurate performance anomaly detection and prediction for cloud applications: a novel ensemble learning-based framework
• ROS2 Real-time Performance Optimization and Evaluation
• Targeted Deanonymization via the Cache Side Channel: Attacks and Defenses
• The Power of Telemetry: Uncovering Software-Based Side-Channel Attacks on Apple M1/M2 Systems
• Thermal-Aware on-Device Inference Using Single-Layer Parallelization with Heterogeneous Processors
• Towards Fast, Adaptive, and Hardware-Assisted User-Space Scheduling
• Towards Serverless Optimization with In-place Scaling
• Validating Full-System RISC-V Simulator: A Systematic Approach

2024:

• A Comparison of Real-Time Linux-Based Architectures for Embedded Musical Applications
• A Preliminary Assessment of the real-time capabilities of Real-Time Linux on Raspberry Pi 5
• An experimental approach for evaluating cache allocation policies in multicore for real-time mixed-criticality systems
• Anomaly Detection Within Mission-Critical Call Processing
• BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection
• Disambiguating Performance Anomalies from Workload Changes in Cloud-Native Applications
• Enhancing the PSI framework in Linux Kernel for predictive and accurate workload analysis
• Evaluation of Thermal Stress on Heterogeneous IoT-Based Federated Learning
• Exemplary Determination of Cgroups-Based QoS Isolation for a Database Workload
• IdleLeak: Exploiting Idle State Side Effects for Information Leakage * Profiling with trust: system monitoring from trusted execution environments
• Impact of power consumption in containerized clouds: A comprehensive analysis of open-source power measurement tools
• Interference-free Operating System: A 6 Years’ Experience in Mitigating Cross-Core Interference in Linux
• Take a Step Further: Understanding Page Spray in Linux Kernel Exploitation
• Nona: Accurate Power Prediction Model Using Neural Networks
• Optimizing Network Performance: Benchmarking of NVIDIA Bluefield-2 Offloading Capabilities
• Performance Analysis of Intel Total Memory Encryption Multi-Key
• SRFS: Parallel Processing Fault-tolerant ROS2-based Flight Software for the Space Ranger Cubes
• Virtualization vs. Containerization, a Comparative Approach for Application Deployment in the Computing Continuum Focused on the Edge

2025:

• A comprehensive performance evaluation of TEEs for confidential DNA alignment
• A measurement-based approach to analyze the power consumption of the softwarized 5G core
• Adaptive Machine Learning for Resource-Constrained Environments
• Anomaly-Based Intrusion Detection for IoMT Networks: Design, Implementation, Dataset Generation, and ML Algorithms Evaluation
• ASTREA: Introducing Agentic Intelligence for Orbital Themral Autonomy
• AUTOGUARDX: A Comprehensive Cybersecurity Framework for Connected Vehicles
• Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems
• CINERGY: Reasoning over the Worst Case Power Consumption of Cloud Virtual Machines
• Container-level Energy Observability in Kubernetes Clusters
• Data Center Model for Transient Stability Analysis of Power Systems
• Dodoor: Efficient Randomized Decentralized Scheduling with Load Caching for Heterogeneous Tasks and Clusters
• Ecoscape: Fault Tolerance Benchmark for Adaptive Remediation Strategies in Real-Time Edge ML
• Efficient Fault Localization in a Cloud Stack Using End-to-End Application Service Topology
• FALCON: A Framework for Fault Prediction in Open RAN Using Multi-Level Telemetry
• FUKURO: An Agent-Driven Framework for Real-Time Remote Host Resource Managemen
• GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications using Graph Attention Networks
• Graph Neural Networks for Anomaly Detection in Cloud Infrastructure
• KernelSnitch: Side-Channel Attacks on Kernel Data Structures
• METRION: A Framework for Accurate Software Energy Measurement
• Non-Intrusive MLOps-Driven Performance Intelligence in Software Data Planes
• On Fault Tolerance of Data Storage Systems: A Holistic Perspective
• Performance Prediction of On-NIC Network Functions with Multi-Resource Contention and Traffic Awareness
• Profiling with trust: system monitoring from trusted execution environments
• RAS-IoT: A Container-Based Solution for IoT Application Replacement
• RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data
• Research on AutoTune: A Lightweight Feedback-Driven Kernel Parameter Tuning System for High-Concurrency VMware Environments
• ROS 2 Agnocast: Supporting Unsized Message Types for True Zero-Copy Publish/Subscribe IPC
• Rubicon: Precise Microarchitectural Attacks with Page-Granular Massaging
• SPAM: Streamlined Prefetcher-Aware Multi-Threaded Cache Covert-Channel Attack
• SPY-PMU: Side-Channel Profiling of Your Performance Monitoring Unit to Leak Remote User Activity
• Slice+Slice Baby: Generating Last-Level Cache Eviction Sets in the Blink of an Eye
• SkyForge Core: A Triple Modular Redundant Computing Architecture for Small Satellites
• Systematic Analysis of Kernel Security Performance and Energy Costs
• Towards Accurate RISC-V Full System Simulation via Component-level Calibration
• TUNA: Tuning Unstable and Noisy Cloud Applications
• TZ-LLM: Protecting On-Device Large Language Models with Arm TrustZone
• When Radiation Meets Linux: Analyzing Soft Errors in Linux on COTS SoCs under Proton Irradiation
• When Things Heat Up: Detecting Malicious Activity Using CPU Thermal Sensors
• xPUE: Extending Power Usage Effectiveness Metrics for Cloud Infrastructures

2026:

• Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems
• Enabling SLO-Aware 5G Multi-Access Edge Computing with SMEC
• Object detection on low-compute edge SoCs: a reproducible benchmark and deployment guidelines
• On-Device Deep Reinforcement Learning for Decentralized Task Offloading: Performance trade-offs in the training process
• Performance evaluation of two-phase direct-to-chip liquid cooling combined with air cooling for data centers
• Testing Storage-System Correctness: Challenges, Fuzzing Limitations, and AI-Augmented Opportunities

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