Tcp servers: Offloading tcp processing in internet servers. design, implementation, and performance


Abstract:

TCP Server is a system architecture aiming to offload network processing from the host (s) running an Internet server. The basic idea is to execute the TCP/IP processing on a dedicated processor, node, or device (the TCP server) using low-overhead, non-intrusive communication between it and the host (s) running the server application. In this paper, we propose, implement, and evaluate three TCP Server architectures:(1) a dedicated network processor on a symmetric multiprocessor (SMP) server,(2) a dedicated node on a cluster-based server built around a memory-mapped communication interconnect such as VIA, and (3) an intelligent network interface in a cluster of intelligent devices with a switch-based I/O interconnect such as Infiniband. Based on our experience and results, we can draw a few important conclusions:(i) an SMP-based approach to TCP servers is more efficient than a cluster-based one, given the lower overheads and the slightly more even division of labor between application and network processors of the former approach,(ii) the benefits of SMP and cluster-based TCP servers reach 18% and 30% respectively, in the scenarios we studied,(iii) the simulation results show greater gains of up to 45% for a cluster of intelligent devices, and (iv) it is clear that greater gains are possible only if we perform dynamic load balancing between hosts and the TCP servers.

Año de publicación:

2002

Keywords:

    Fuente:

    googlegoogle

    Tipo de documento:

    Other

    Estado:

    Acceso abierto

    Áreas de conocimiento:

    • Red informática
    • Software

    Áreas temáticas de Dewey:

    • Ciencias de la computación
    • Alimentación y bebidas
    Procesado con IAProcesado con IA

    Objetivos de Desarrollo Sostenible:

    • ODS 9: Industria, innovación e infraestructura
    • ODS 17: Alianzas para lograr los objetivos
    • ODS 8: Trabajo decente y crecimiento económico
    Procesado con IAProcesado con IA

    Contribuidores: