Exploiting the locality of virtual-machine images to boost the performance of a cloud platform

Shuo Han Chen, Tseng Yi Chen, Chi Heng Lee, Hsin Wen Wei, Tsan Sheng Hsu, Wei Kuan Shih

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Virtualization technology enables multiple virtual machines(VMs) to run on a physical mechanism. Due to the excessive data-intensive workloads of VMs, the system I/O performance of cloud platforms deteriorates. To improve the system I/O performance, one key technique is to exploit the spatial locality of data stored on the back-end disks. However, identifying data spatial locality on a cloud platform becomes challenging due to the transparency feature of virtualization. Therefore, to resolve the problem of poor disk I/O, this paper proposes an inter-VMs locality packing design to increase the number of sequential I/O accesses on back-end disks so as to improve disk I/O efficiency through exploiting the spatial locality of virtual machine images. Moreover, the proposed deign does not compromise the transparency of virtualization technique. A simulator architecture is also proposed to assess the performance of the proposed inter-VMs locality packing design.

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主出版物標題37th IEEE Sarnoff Symposium, Sarnoff 2016
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781509015405
DOIs
出版狀態已出版 - 7 2月 2017
事件37th IEEE Sarnoff Symposium, Sarnoff 2016 - Newark, United States
持續時間: 19 9月 201621 9月 2016

出版系列

名字37th IEEE Sarnoff Symposium, Sarnoff 2016

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???event.eventtypes.event.conference???37th IEEE Sarnoff Symposium, Sarnoff 2016
國家/地區United States
城市Newark
期間19/09/1621/09/16

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