Experience with Multi-Resource Aware Fair Sharing in Highly Heterogeneous Private Clouds

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F14%3A10130447" target="_blank" >RIV/63839172:_____/14:10130447 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7027531" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7027531</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/UCC.2014.64" target="_blank" >10.1109/UCC.2014.64</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Experience with Multi-Resource Aware Fair Sharing in Highly Heterogeneous Private Clouds

Popis výsledku v původním jazyce

This work addresses the problem of guaranteeing user-to-user fairness in absence of money. This is a typical problem in private and/or scientific clouds. In such systems, the computational power is not allocated with respect to a user ability to pay. Instead, users of the system are handled according to a resource provider's inner policy. Frequently, this policy somehow incorporates fairness. In this paper we show how fairness can be handled in private cloud systems where both resources and users' requests are highly heterogeneous. The solution is represented by a user-ordering function that defines fair ordering of users' requests with respect to their recent resource utilization, supporting multi-resource aware fair sharing. Unlike other solutions, our approach is less sensitive to the heterogeneity of resources and users' requests. Notably, scheduler decisions do not influence the resulting priority of a user. We discuss our positive experience with a working implementation of this

Název v anglickém jazyce

Experience with Multi-Resource Aware Fair Sharing in Highly Heterogeneous Private Clouds

Popis výsledku anglicky

This work addresses the problem of guaranteeing user-to-user fairness in absence of money. This is a typical problem in private and/or scientific clouds. In such systems, the computational power is not allocated with respect to a user ability to pay. Instead, users of the system are handled according to a resource provider's inner policy. Frequently, this policy somehow incorporates fairness. In this paper we show how fairness can be handled in private cloud systems where both resources and users' requests are highly heterogeneous. The solution is represented by a user-ordering function that defines fair ordering of users' requests with respect to their recent resource utilization, supporting multi-resource aware fair sharing. Unlike other solutions, our approach is less sensitive to the heterogeneity of resources and users' requests. Notably, scheduler decisions do not influence the resulting priority of a user. We discuss our positive experience with a working implementation of this

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/LM2010005" target="_blank" >LM2010005: Velká infrastruktura CESNET</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing

ISBN

978-1-4799-7881-6

ISSN

—

e-ISSN

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Počet stran výsledku

2

Strana od-do

487-488

Název nakladatele

IEEE

Místo vydání

USA

Místo konání akce

London, UK

Datum konání akce

8. 12. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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