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Hua Nie, Xiao-Jun Yang, Tao-Ying Liu. Software-Defined Cluster[J]. Journal of Computer Science and Technology, 2015, 30(2): 252-258. DOI: 10.1007/s11390-015-1519-0
Citation: Hua Nie, Xiao-Jun Yang, Tao-Ying Liu. Software-Defined Cluster[J]. Journal of Computer Science and Technology, 2015, 30(2): 252-258. DOI: 10.1007/s11390-015-1519-0

Software-Defined Cluster

  • 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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