11 个仓库
Configuration and enforcement of CPU, memory, and storage limits for specific application processes.
Explore 11 awesome GitHub repositories matching operating systems & systems programming · Hardware Resource Allocation. Refine with filters or upvote what's useful.
Immich is a self-hosted media management platform designed to provide a centralized, private repository for photos and videos. It functions as a comprehensive system for organizing, backing up, and viewing personal media collections across mobile devices, web browsers, and external storage locations. By maintaining full control over data ownership and storage infrastructure, the platform ensures that users retain sovereignty over their digital assets. The system distinguishes itself through a distributed architecture that coordinates background media synchronization, real-time filesystem moni
Allocates system resources like CPU and RAM to ensure stable performance for intensive media processing and database operations.
v86 is a browser-based virtual machine and x86 hardware simulator that allows 16-bit and 32-bit operating systems to run directly within a web page. It functions as an x86 emulator for WebAssembly, simulating CPUs, memory, and storage devices to execute legacy software without original native hardware. The project utilizes a WebAssembly just-in-time compiler to translate x86 machine code into WebAssembly modules for high-performance execution in the browser. The system covers hardware emulation and lifecycle management, including the ability to boot from disk images, configure virtual hardwa
Configures virtual hardware resources including memory capacity, video memory, and audio settings.
This project provides a containerized environment for running a full macOS desktop operating system. It utilizes a hardware-accelerated virtualization engine to execute the guest environment, allowing for the deployment and management of virtual machines through standard container orchestration tools. The platform distinguishes itself by enabling direct hardware passthrough, which maps physical host disks, partitions, and USB controllers directly into the virtual machine for native driver access. It also supports advanced network integration, allowing the guest system to obtain its own unique
Allocates CPU, memory, and storage resources for virtualized guest environments.
This project is a monolithic operating system kernel designed to serve as the foundational software layer for diverse computing architectures and embedded platforms. It manages core system services, including processor scheduling, memory allocation, and hardware resource distribution, to facilitate communication between user applications and physical hardware. The kernel utilizes a hardware abstraction layer and platform-specific device trees to ensure consistent operation across a wide variety of processors and specialized computing devices. It supports dynamic functionality through loadable
Allocates memory, processor cycles, and storage to maintain system performance and stability.
Seastar is a C++ server application framework and asynchronous programming library designed for building high-performance, shared-nothing server applications. It functions as a high-performance I/O engine providing direct disk and network access through a shared-nothing framework that partitions data and execution across CPU cores. The framework distinguishes itself through a thread-per-core architecture that eliminates locking and resource contention by assigning one execution thread to each physical CPU core. It implements a userspace TCP/IP stack and kernel-bypass techniques, integrating w
Provides scheduling groups to control the percentage of CPU time allocated to different system components.
This project is a front-end interview study guide and a collection of structured notes designed for technical job preparation. It serves as a comprehensive reference for web technologies, common technical interview questions, and JavaScript algorithm implementation. The notebook distinguishes itself by integrating specialized guides for web performance optimization, browser API documentation, and JavaScript algorithm references. It provides a structured approach to solving coding challenges involving data structures like binary trees, linked lists, and array manipulation. The content covers
Explains how operating systems allocate CPU, memory, and storage resources to processes.
ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself
Reserves specific CPU, GPU, and memory capacity for individual pipeline steps to ensure infrastructure requirements are met during execution.
Briefer is an interactive data notebook platform and business intelligence dashboard tool used for collaborative data analysis and reporting. It provides a containerized environment for building reports that combine SQL, Python, and Markdown with native visualizations. The platform features an integrated code assistant that uses large language models to generate SQL and Python snippets from natural language prompts. It is designed as a Kubernetes data application, deploying via Helm charts to manage isolated compute environments and ensure separate resources per page through pod-based isolati
Sets specific CPU and memory limits for the execution environments to control performance and hardware usage.
该项目是一个容器化机器学习工作流引擎和编排器,旨在自动化 Kubernetes 集群上机器学习模型的端到端生命周期。它作为一个 MLOps 管道编译器,将领域特定语言转换为用于便携式和可扩展部署的结构化规范。 该平台提供了一个具有隔离命名空间和身份提供商认证的多租户环境。它通过结合基于容器的任务隔离、用于数据传递的强类型工件管理以及用于避免冗余计算的内容寻址结果缓存而脱颖而出。 该系统涵盖了全面的工作流编排,包括并行任务执行、循环运行调度和条件分支逻辑。它进一步支持实验跟踪、工作流指标收集以及可重用管道组件的管理,并能够为 CPU、内存和 GPU 配置特定的硬件资源请求。 该软件通过 Python SDK 分发,可部署在独立、本地或多租户环境中。
Allows specifying CPU, memory, and GPU requirements for tasks to ensure appropriate hardware allocation on the cluster.
The project provides an open container runtime specification and standardized schema for defining container configurations, namespaces, resource limits, security policies, and filesystem mounts across platforms. It outlines the formal configuration formats, lifecycle operations, and execution environments necessary for portable, isolated container workloads. The specification covers container lifecycle management protocols and structured rules governing container creation, execution startup, process signaling, state tracking, and resource teardown. It standardizes local bundle packaging and
Enforces configuration and limits for CPU, memory, and storage on isolated container workloads.
microvm.nix is a declarative virtual machine manager and orchestrator for defining, building, and managing isolated guest environments using Nix. It functions as a virtual machine image builder that transforms system specifications into bootable disk images and runner scripts. The project provides a hypervisor abstraction layer, enabling the deployment of guest images across multiple virtualization backends through a unified configuration. It includes specialized tools for PCI hardware passthrough, granting virtual machines direct access to physical host USB and PCI devices. The framework co
Allocates CPU cores, RAM, and network interfaces to define the hardware specifications of a virtual machine.