This paper explores the problem of placing Web server replicas in content distribution networks (CDNs) to improve performance and reduce latency. The authors develop several placement algorithms that use workload information, such as client latency and request rates, to make informed decisions. These algorithms are evaluated using synthetic and real network topologies, as well as Web server traces. The results show that the greedy algorithm, which combines distance metrics and request load, performs the best, with a median performance within a factor of 1.1-1.5 of optimal. The hot spot algorithm, which places replicas near high-traffic areas, performs similarly well. The placement algorithms are also found to be insensitive to noise in the input data, even with rough estimates of client distance and load. Practical considerations for implementing these algorithms in CDNs are discussed, including the need to predict future request loads based on past data. The study concludes that a greedy algorithm for Web server replica placement can provide CDNs with performance close to optimal, making it a viable and practical solution for improving CDN performance.This paper explores the problem of placing Web server replicas in content distribution networks (CDNs) to improve performance and reduce latency. The authors develop several placement algorithms that use workload information, such as client latency and request rates, to make informed decisions. These algorithms are evaluated using synthetic and real network topologies, as well as Web server traces. The results show that the greedy algorithm, which combines distance metrics and request load, performs the best, with a median performance within a factor of 1.1-1.5 of optimal. The hot spot algorithm, which places replicas near high-traffic areas, performs similarly well. The placement algorithms are also found to be insensitive to noise in the input data, even with rough estimates of client distance and load. Practical considerations for implementing these algorithms in CDNs are discussed, including the need to predict future request loads based on past data. The study concludes that a greedy algorithm for Web server replica placement can provide CDNs with performance close to optimal, making it a viable and practical solution for improving CDN performance.