stress-ng

stress-ng Citations

• Linux kernel performance test tool

2015:

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

2016:

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

2017:

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

2018:

• Multicore Emulation on Virtualised Environment
• Stress-SGX : Load and Stress your Enclaves for Fun and Profit
• quiho: Automated Performance Regression Testing Using Inferred Resource Utilization Profiles
• Hypervisor and Virtual Machine Memory Optimization Analysis
• Real-Time testing with Fuego
• FECBench: An Extensible Framework for Pinpointing Sources of Performance Interference in the Cloud-Edge Resource Spectrum
• 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

2019:

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

2020:

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

2021:

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

2022:

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

2023:

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

2024:

• IdleLeak: Exploiting Idle State Side Effects for Information Leakage
• Profiling with trust: system monitoring from trusted execution environments
• Exemplary Determination of Cgroups-Based QoS Isolation for a Database Workload
• BARO: Robust Root Cause Analysis for Microservices via Multivariate Bayesian Online Change Point Detection
• Disambiguating Performance Anomalies from Workload Changes in Cloud-Native Applications
• Take a Step Further: Understanding Page Spray in Linux Kernel Exploitation
• Impact of power consumption in containerized clouds: A comprehensive analysis of open-source power measurement tools
• Evaluation of Thermal Stress on Heterogeneous IoT-Based Federated Learning
• Anomaly Detection Within Mission-Critical Call Processing
• A Preliminary Assessment of the real-time capabilities of Real-Time Linux on Raspberry Pi 5
• A Comparison of Real-Time Linux-Based Architectures for Embedded Musical Applications
• Nona: Accurate Power Prediction Model Using Neural Networks
• Interference-free Operating System: A 6 Years’ Experience in Mitigating Cross-Core Interference in Linux

2025:

• SPY-PMU: Side-Channel Profiling of Your Performance Monitoring Unit to Leak Remote User Activity
• RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data
• Performance Prediction of On-NIC Network Functions with Multi-Resource Contention and Traffic Awareness
• KernelSnitch: Side-Channel Attacks on Kernel Data Structures
• A measurement-based approach to analyze the power consumption of the softwarized 5G core
• When Radiation Meets Linux: Analyzing Soft Errors in Linux on COTS SoCs under Proton Irradiation
• CINERGY: Reasoning over the Worst Case Power Consumption of Cloud Virtual Machines
• KernelSnitch: Side-Channel Attacks on Kernel Data Structures
• xPUE: Extending Power Usage Effectiveness Metrics for Cloud Infrastructures
• FALCON: A Framework for Fault Prediction in Open RAN Using Multi-Level Telemetry
• Profiling with trust: system monitoring from trusted execution environments
• GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications using Graph Attention Networks
• RAS-IoT: A Container-Based Solution for IoT Application Replacement
• Slice+Slice Baby: Generating Last-Level Cache Eviction Sets in the Blink of an Eye
• Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems

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