Load balancing distributes network traffic across multiple servers to prevent overload, and this article breaks down six essential scheduling strategies—Round Robin, Random, Least Connections, Weighted Round Robin, IP Hash, and Least Response Time—detailing their mechanisms, ideal use cases, and implementation considerations.
The DAP system, developed by Kuaishou’s audio‑video network transmission team, won the ACM MM 2021 Grand Challenge by introducing deadline‑aware scheduling and a novel paired‑sending congestion control algorithm that dramatically improves QoE for real‑time video streams, outperforming Copa, BBR and DRL by up to 43.5%.
This article explains what load balancing is, its role in distributing traffic across server clusters, outlines the various layer‑based classifications (L2‑L7), compares popular software solutions such as LVS, Nginx and HAProxy, and reviews common load‑balancing algorithms and their use cases.
Load balancing distributes client requests across multiple servers to improve performance, reliability, and scalability, and can operate at different OSI layers—L2, L3, L4, and L7—using various techniques such as round‑robin, hash, and dynamic algorithms, with popular software solutions like LVS, Nginx, and HAProxy.
Load balancing distributes traffic across multiple servers to improve performance, ensure high availability, and enable scalability, covering concepts such as vertical and horizontal scaling, business partitioning, various load‑balancing methods (DNS, HTTP, IP, layer‑2, hybrid), and common algorithms like round‑robin, random, least connections, hash, and weighted distribution.
This article provides a comprehensive overview of load balancing, covering its core principles, the distinction between vertical and horizontal scaling, various classifications such as DNS, HTTP, IP, link‑layer, and hybrid approaches, as well as common algorithms and hardware considerations for high‑availability, high‑performance systems.
Load balancing distributes incoming traffic across multiple servers to enhance performance, ensure high availability, and enable horizontal scaling, with various implementations such as DNS, HTTP, IP, link‑layer, and hybrid methods, each employing algorithms like round‑robin, random, least connections, hash, and weighted distribution, plus hardware options.
