Optimising online FPS game server discovery through clustering servers by origin autonomous system

摘要

This paper employs Valve's Counter-Strike:Source (CS:S) game methods to propose an optimized server discovery time on the Internet. The proposed scheme sorts game servers, detects a subset of servers, ranks each autonomous system (AS) according to the round-trip time (RTT), and probes all remaining game servers using the rank of the origin AS. The experiment indicates that, as a result, the proposed method significantly reduces the discovery server time and network traffic.