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软件定义机群

Software-Defined Cluster

  • 摘要: 过去20年中,机群在高端计算占有重要地位。随着互联网服务、大数据和云计算的到来,传统机群面临三个挑战:(1)在计算、内存访问和IO能力之间保持系统的平衡;(2)降低资源池化开销;(3)解决低性能-能耗效率。本文提出一种"软件定义机群"体系结构应对上述三个挑战。软件定义机群保留了传统机群的多计算机和松耦合互连的特性,同时提出两个机制:全局IO空间(GIO)和硬件支持的对远程设备的本地访问。物理机群提供资源池,应用软件可在资源池基础上根据应用需求动态定义虚拟机群。传统机群的应用生态系统不需要改变。本文还讨论了一个采用软件定义机群体系结构的实例,一个32处理器的云服务器设计和实现。

     

    Abstract: The cluster architecture has played an important role in high-end computing for the past 20 years. With the advent of Internet services, big data, and cloud computing, traditional clusters face three challenges: 1) providing flexible system balance among computing, memory, and I/O capabilities; 2) reducing resource pooling overheads; and 3) addressing low performance-power efficiency. This position paper proposes a software-defined cluster (SDC) architecture to deal with these challenges. The SDC architecture inherits two features of traditional cluster: its architecture is multicomputer and it has loosely-coupled interconnect. SDC provides two new mechanisms: global I/O space (GIO) and hardware-supported native access (HNA) to remote devices. Application software can define a virtual cluster best suited to its needs from resources pools provided by a physical cluster, and traditional cluster ecosystems need no modification. We also discuss a prototype design and implementation of a 32-processor cloud server utilizing the SDC architecture.

     

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