Optimizing the Memory Management of a Virtual Machine Monitor on a NUMA System.
Virtualization significantly degrades computational performance on nonuniform memory access (NUMA) systems. The authors propose an optimization scheme based on a memory-access model that covers the entire access path and accommodates the chain-reacting behavior of memory subsystems. A quantitative e...
| Publicado en: | Computer (00189162) Vol. 49; no. 6; pp. 66 - 75 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
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IEEE
Jun2016
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=116254773&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 116254773 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Jun2016 vid: 49 iid: 6 pid: 13605 pub: IEEE artinfo: ui: 116254773 10.1109/MC.2016.169 ppf: 66 ppct: 9 formats: tig: atl: Optimizing the Memory Management of a Virtual Machine Monitor on a NUMA System. aug: au: Luo, Qiuming Xiao, Feng Ming, Zhong Li, Hao Chen, Jianyong Zhang, Jianhua affil: Shenzhen University Huawei Technologies su: Computer storage devices Virtual machine systems Computer performance Computer security Computer science sug: subj: Computer storage devices Virtual machine systems Computer performance Computer security Computer science keyword: Instruction sets Memory management memory-access models Microarchitecture NUMA systems Optimization thread-placement optimization virtual machine monitors virtual machines virtualization Xen ab: Virtualization significantly degrades computational performance on nonuniform memory access (NUMA) systems. The authors propose an optimization scheme based on a memory-access model that covers the entire access path and accommodates the chain-reacting behavior of memory subsystems. A quantitative evaluation shows significant performance improvement with negligible overhead. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2016 holdings: @attributes: islocal: N |
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