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Dealing with performance unpredictability in an asymmetric multicore processor cloud

Djomgwe Teabe, Boris and Wapet, Patrick Lavoisier and Tchana, Alain-Bouzaïde and Hagimont, Daniel Dealing with performance unpredictability in an asymmetric multicore processor cloud. (2017) In: European Conference on Parallel Processing (Euro-Par 2017), 28 August 2017 - 1 September 2017 (Santiago de Compostela, Spain).

(Document in English)

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Official URL: https://doi.org/10.1007/978-3-319-64203-1_24


In a Cloud computing data center and especially in a IaaS (Infrastructure as a Service), performance predictability is one of the most important challenges. For a given allocated virtual machine (VM) in one IaaS, a client expects his application to perform identically whatever is the hosting physical server or its resource management strategy. However, performance predictability is very difficult to enforce in a heterogeneous hardware environment where machines do not have identical performance characteristics, and even more difficult when machines are internally heterogeneous as for Asymmetric Multicore Processor machines. In this paper, we introduce a VM scheduler extension which takes into account hardware performance heterogeneity of Asymmetric Multicore Processor machines in the cloud. Based on our analysis of the problem, we designed and implemented two solutions: the first weights CPU allocations according to core performance, while the second adapts CPU allocations to reach a given instruction execution rate (Ips) regardless the core types. We demonstrate that such scheduler extensions can enforce predictability with a negligible overhead on application performance.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in volume 10417 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN 978-3-319-64202-4 The original PDF is available at: https://link.springer.com/chapter/10.1007%2F978-3-319-64203-1_24
HAL Id:hal-02648738
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:28 May 2020 13:28

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