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Efficient cloud tracing: From very high level to very low level

Yves J. Bationo, Naser Ezzati-Jivan and Michel Dagenais

Paper (2018)

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With the increase of cloud infrastructure complexity, the origin of service deterioration is difficult to detect because issues may occur at the different layer of the system. We propose a multi-layer tracing approach to gather all the relevant information needed for a full workflow analysis. The idea is to collect trace events from all the cloud nodes to follow users' requests from the cloud interface to their execution on the hardware. Our approach involves tracing OpenStack's interfaces, the virtualization layer, and the host kernel space to perform analysis and show abnormal tasks and the main causes of latency or failures in the system. Experimental results about virtual machines live migration confirm that we are able to analyse services efficiency by locating platforms' weakest links.

Uncontrolled Keywords

Cloud; OpenStack; QEMU; Tracing, LTTNg

Subjects: 2700 Information technology > 2706 Software engineering
2700 Information technology > 2715 Optimization
Department: Department of Computer Engineering and Software Engineering
Grant number: CRDPJ468687-14
PolyPublie URL: https://publications.polymtl.ca/4201/
Conference Title: IEEE International Conference on Consumer Electronics (ICCE 2018)
Conference Location: Las Vegas, NV, USA
Conference Date(s): 2018-01-12 - 2018-01-14
Publisher: IEEE
DOI: 10.1109/icce.2018.8326353
Official URL: https://doi.org/10.1109/icce.2018.8326353
Date Deposited: 17 Feb 2020 12:32
Last Modified: 19 Apr 2023 14:09
Cite in APA 7: Bationo, Y. J., Ezzati-Jivan, N., & Dagenais, M. (2018, January). Efficient cloud tracing: From very high level to very low level [Paper]. IEEE International Conference on Consumer Electronics (ICCE 2018), Las Vegas, NV, USA (6 pages). https://doi.org/10.1109/icce.2018.8326353


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