RT-Open Stack: CPU Resource Management for Real-Time Cloud Computing
RT-Open Stack: CPU Resource Management for Real-Time Cloud Computing
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RT-Open Stack:实时云计算的 CPU 资源管理
DOI:
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发表时间:
2015
期刊:
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通讯作者:
P. Anda
中科院分区:
文献类型:
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作者:
I. Jado;C. Carranza;J. Barandika;Álvaro Toledo;C. García;B. Serrano;M. Bolaños;H. Gil;R. Escudero;A. García;Á. Olmeda;I. Astobiza;Bruno Lobo;Manuela Rodríguez;J. Pérez;F. López;F. Pascual;G. Cilla;N. F. Rodríguez;P. Anda
Clouds have become appealing platforms for not only general-purpose applications, but also real-time ones. However, current clouds cannot provide real-time performance to virtual machines (VMs). We observe the demand and the advantage of co-hosting real-time (RT) VMs with non-real-time (regular) VMs in a same cloud. RT VMs can benefit from the easily deployed, elastic resource provisioning provided by the cloud, while regular VMs effectively utilize remaining resources without affecting the performance of RT VMs through proper resource management at both the cloud and the hyper visor levels. This paper presents RT-Open Stack, a cloud CPU resource management system for co-hosting real-time and regular VMs. RT-Open Stack entails three main contributions: (1) integration of a real-time hyper visor (RT-Xen) and a cloud management system (Open Stack) through a real-time resource interface, (2) a real-time VM scheduler to allow regular VMs to share hosts with RT VMs without interfering the real-time performance of RT VMs, and (3) a VM-to-host mapping strategy that provisions real-time performance to RT VMs while allowing effective resource sharing with regular VMs. Experimental results demonstrate that RT-Open Stack can effectively improve the real-time performance of RT VMs while allowing regular VMs to fully utilize the remaining CPU resources.