2 dépôts
Awesome GitHub RepositoriesLoad Balancing Schedulers
Algorithms that distribute processes across CPU cores to maintain balanced utilization.
Distinct from CPU Core Partitioning: No candidate covers OS-level CPU load balancing; candidates focus on JIT cores, partitioning, or hardware implementations.
Explore 2 awesome GitHub repositories matching operating systems & systems programming · Load Balancing Schedulers. Refine with filters or upvote what's useful.
Awesome Load Balancing Schedulers GitHub Repositories
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- angrave/systemprogramming
angrave/SystemProgramming
5,734Voir sur GitHubThis is an open-source, crowd-sourced wiki textbook that teaches Linux system programming in C. It covers the core operating system concepts of process management through the fork-exec-wait model, dynamic memory allocation using implicit free list heap allocators, inode-based file systems, inter-process communication via pipes and shared memory, POSIX threads with synchronization primitives, signal-based asynchronous notification, virtual memory with page table translation, and runtime diagnostics using Valgrind and GDB. The textbook distinguishes itself by providing practical, implementation
Describes the Completely Fair Scheduler's red-black tree approach to distributing processes across cores.
- cri-o/cri-o
cri-o/cri-o
5,629Voir sur GitHubCRI-O is an open-source container runtime that implements the Kubernetes Container Runtime Interface (CRI) to manage container images, pods, and containers on cluster nodes using OCI-compatible runtimes. It serves as a node-level container manager that handles image pulling, container lifecycle, and resource monitoring for Kubernetes clusters, running containers according to the Open Container Initiative specifications. The runtime distinguishes itself through live configuration reloading that applies changes to runtime definitions, registry mirrors, and TLS certificates without restarting th
Distributes CPU work across cores using an annotation-based load balancing mechanism for cgroupv2.
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