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Mitigating Performance Unpredictability in Heterogeneous Clouds

Djomgwe Teabe, Boris and Tchana, Alain-Bouzaïde and Hagimont, Daniel Mitigating Performance Unpredictability in Heterogeneous Clouds. (2016) In: 13th IEEE International Conference on Services Computing (SCC 2016), 27 June 2016 - 2 July 2016 (San Francisco, CA, United States).

(Document in English)

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Official URL: http://dx.doi.org/10.1109/SCC.2016.83


The speed of a device may vary since (i) IaaS hardware infrastructures are increasingly heterogeneous and (ii) devices often have a dynamically adjusted speed in order to adapt their energy consumption according to the load. This paper addresses SLA enforcement in a IaaS which includes devices whose speed vary. We show that resource management should rely on an absolute value SLA specification (i.e., a performance metric which is independent from the device speed) and a dynamic translation of this SLA into actual allocations according to the device speed. Surprisingly, while disk or network resource allocations already integrate such a scheme, CPU does not. We propose a CPU resource management system which implements absolute CPU allocation and dynamically translates it into actual CPU allocations according to CPU speed. We demonstrate and evaluate the benefits of this resource management system.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of SCC 2016. Electronic ISBN: 978-1-5090-2628-9 The original PDF of the article can be found at: http://ieeexplore.ieee.org/document/7557503/ Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-01782589
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:
French “Fonds national pour la Société Numérique” (FSN)
Deposited On:06 Apr 2018 13:52

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