VSA: An offline scheduling analyzer for Xen virtual machine monitor

Authors:
Zhiyuan Shao;Ligang He;Zhiqiang Lu;Hai Jin
Affiliations:
Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China;Department of Computer Science, University of Warwick, Coventry, CV4 7AL, United Kingdom;Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China;Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
Venue:
Future Generation Computer Systems
Year:
2013

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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.