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Service Discovery and Governance Platform for Microservice and Distributed Architecture
JANUSEC Application Gateway provides secure access, including reverse proxy, K8S Ingress Controller, Automatic ACME Certificate, WAF, 5-Second Shield, CC Defense, OAuth2 Authentication, Global Server Load Balance, and Cookie Compliance etc. JANUSEC应用网关，提供安全的接入，包括反向代理、K8S Ingress Controller、自动化ACME证书、WAF、5秒盾、CC防御、OAuth2身份认证、GSLB负载均衡与Cookie合规等。
Jupiter is a high-performance 4-layer network load balance service based on DPDK.
Loon插件备份仓库配置文件，Clash自用分流规则集，非规则集碎片，ACL4SSR规则全分组多模式
Lightweight Java SDK used as Proxyless Service Governance
Lightweight Go SDK used as Proxyless Service Governance
《Linux 高性能服务器》附带的项目程序springsnil详细解读，一个负载均衡服务器
Implement an online programming system similar to LeetCode. Multiple compilation service hosts (CR hosts) can be deployed in the background, and then oj_server service will load balance a large number of submitted requests to each CR host through algorithms. If a CR host crashes in the background, oj_server can also recognize correctly.
An improved gRPC client with lots of helpful features.
基于栈分配任务容器的 C++11 仅头文件线程池 | A header-only C++11 thread pool based on stack-allocated task containers
Lightweight C++ SDK used as Proxyless Service Governance
🐳 A playground for Docker with Nginx and Express.
Non-offical implementation of Spring Cloud feign. Cooperate with HikoQiu/go-eureka-client to load-balance send HTTP request to instances registered in Eureka server.
Torify the system with multiple tor exit nodes and load balance.
A library of composable layers that is designed to provide client-side load balancing for (but not limited to) HTTP client-server communication, using Consul as the service discovery layer
Offloading DOCA-based Adaptive Routing onto NVIDIA BlueField-2 DPU. (卸载基于DOCA的自适应路由到NVIDIA BlueField-2 DPU上)
Learning in Noisy MDP (which is governed by stochastic, exogenous input processes) with input-dependent baseline
This repository contains the implementation of an enhanced NSGA-II algorithm for solving the Flexible Job Shop Scheduling Problem (FJSP), focusing on multi-objective optimization. Developed as part of the Bio-Inspired Artificial Intelligence course project at the University of Trento.
Learning different methods for IP look-ups and load-balancing