• DocumentCode
    263644
  • Title

    Characteristic Analysis of Operating Systems for Large Scale Hierarchical NUMA System

  • Author

    Qiuming Luo ; Yuanyuan Zhou ; Mei Wang ; Ye Cai

  • Author_Institution
    Nat. High Performance Comput. Center (NHPCC), Shenzhen Univ., Shenzhen, China
  • fYear
    2014
  • fDate
    13-15 July 2014
  • Firstpage
    114
  • Lastpage
    117
  • Abstract
    LH-NUMAs are essentially clusters of NUMA nodes with a globally shared memory abstraction, either in hardware or in software. This Abstract architecture just like expensive mainframe, while keep the price low as commercial clusters of servers. It is a prospective optional major architecture for cloud computing in today´s era of big data. This article studies the special needs for OS requested by LH-NUMA. And we push the OS design principles of Hive, Fos, Multikernel, etc., a little further by embracing the characteristics of LH-NUMA. The contribution includes: 1) Analyzing the architectural of LH-NUMA, a distinctive architecture located between cluster and mainframe. 2) Analyzing the challenges to the OS for LH-NUMA according to the characteristics of LH-NUMA. 3) Analyzing the inefficiency of running current OSes for many-core system on LH-NUMA. 4) Try to apply the Hive, Fos, Multikernel and other design principles of many-core OS to LH-NUMA and analyzing the advantages and insufficiency for LH-NUMA. 5) Listing the requirements and picturing the framework principle for OS on LH-NUMA.
  • Keywords
    cloud computing; multiprocessing programs; operating systems (computers); shared memory systems; LH-NUMA; cloud computing; globally shared memory abstraction; large scale hierarchical NUMA system; many-core OS; many-core system; operating system analysis; Hardware; Multicore processing; Operating systems; Routing; Servers; FOS; Hive; LH-NUMA; Multikernel; NUMA; OS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Architectures, Algorithms and Programming (PAAP), 2014 Sixth International Symposium on
  • Conference_Location
    Beijing
  • ISSN
    2168-3034
  • Print_ISBN
    978-1-4799-3844-5
  • Type

    conf

  • DOI
    10.1109/PAAP.2014.55
  • Filename
    6916447