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

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

Conference or Workshop Item - Paper (2018)

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Cite this document: Bationo, Y. J., Ezzati-Jivan, N. & Dagenais, M. R. (2018, January). Efficient cloud tracing: From very high level to very low level. Paper presented at IEEE International Conference on Consumer Electronics (ICCE 2018), Las Vegas, NV, USA (6 pages). doi:10.1109/icce.2018.8326353
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Abstract

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

Open Access document in PolyPublie
Subjects: 2700 Technologie de l'information > 2706 Génie logiciel
2700 Technologie de l'information > 2715 Optimisation
Department: Département de génie informatique et génie logiciel
Research Center: Non applicable
Funders: CRSNG/NSERC
Grant number: CRDPJ468687-14
Date Deposited: 17 Feb 2020 12:32
Last Modified: 08 Apr 2021 10:42
PolyPublie URL: https://publications.polymtl.ca/4201/
Document issued by the official publisher
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
Official URL: https://doi.org/10.1109/icce.2018.8326353

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