Shao, Zhiyuan, He, Ligang, Lu, Zhiqiang and Jin, Hai (2013) VSA : an offline scheduling analyzer for Xen virtual machine monitor. Future Generation Computer Systems, Volume 29 (Number 8). pp. 2067-2076. doi:10.1016/j.future.2012.12.004

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Abstract

Nowadays, it is an important trend in the system domain to use the software-based virtualization technology to build the execution environments (e.g., the Clouds). After introducing the virtualization layer, there exist two schedulers: One in the hypervisor and the other inside the Guest Operating System (GOS). To fully understand the virtualized system and identify the possible reasons for performance problems incurred by the virtualization technology, it is very important for the system administrators and engineers to know the scheduling behavior of the hypervisor, in addition to understanding the scheduler inside the GOS. In this paper, we develop a virtualization scheduling analyzer, called VSA, to analyze the trace data of the Xen virtual machine monitor. With VSA, one can easily obtain the scheduling data associated with virtual processors (i.e., VCPUs) and physical processors (i.e., PCPUs), and further conduct the scheduling analysis for a group of interacting VCPUs running in the same domain.

Item Type:	Journal Article
Divisions:	Faculty of Science > Computer Science
Journal or Publication Title:	Future Generation Computer Systems
Publisher:	Elsevier Science BV
ISSN:	0167-739X
Official Date:	October 2013
Dates:	Date Event October 2013 Published
Volume:	Volume 29
Number:	Number 8
Page Range:	pp. 2067-2076
DOI:	10.1016/j.future.2012.12.004
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access

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