Improving storage systems using machine learning
Operating systems include many heuristic algorithms designed to improve overall storage
performance and throughput. Because such heuristics cannot work well for all conditions …
performance and throughput. Because such heuristics cannot work well for all conditions …
DongTing: a large-scale dataset for anomaly detection of the Linux kernel
Host-based intrusion detection systems (HIDS) can automatically identify adversarial
applications by learning models from system events that represent normal system behaviors …
applications by learning models from system events that represent normal system behaviors …
[PDF][PDF] Characterizing neural network verification for systems with NN4SYSBench
We present NN4SysBench, a benchmark suite for neural network verification, comprised of
benchmarks from neural networks for systems (or NN4Sys). NN4Sys is booming: there are …
benchmarks from neural networks for systems (or NN4Sys). NN4Sys is booming: there are …
Towards a Machine Learning-Assisted Kernel with LAKE
The complexity of modern operating systems (OSes), rapid diversification of hardware, and
steady evolution of machine learning (ML) motivate us to explore the potential of ML to …
steady evolution of machine learning (ML) motivate us to explore the potential of ML to …
Kml: Using machine learning to improve storage systems
Operating systems include many heuristic algorithms designed to improve overall storage
performance and throughput. Because such heuristics cannot work well for all conditions …
performance and throughput. Because such heuristics cannot work well for all conditions …
Improving emerging systems' efficiency with hardware accelerators
H Fingler - 2023 - repositories.lib.utexas.edu
The constant growth of datacenters and cloud computing comes with an increase of power
consumption. With the end of Dennard scaling and Moore's law, computing no longer grows …
consumption. With the end of Dennard scaling and Moore's law, computing no longer grows …
Using Machine Learning to Improve Operating Systems' I/O Subsystems
IU Akgun - 2022 - search.proquest.com
Despite the ever-changing nature of computing systems, operating systems and storage
systems are still following the architectures, algorithms, and structures built decades ago …
systems are still following the architectures, algorithms, and structures built decades ago …
Machine learning en linux kernel: implementacion de un predictor de migraciones forzadas en schedulers multicore
MJ Pinto Larrea - 2024 - repositorio.utec.edu.pe
Si bien el Completely Fair Scheduler (CFS) de Linux es capaz de proporcionar equidad
entre procesos y de manejar la ubicación y migración de estos a través de un load balancer …
entre procesos y de manejar la ubicación y migración de estos a través de un load balancer …