Scheduling Scientific Workloads in Private Cloud: Problems and Approaches

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00118585" target="_blank" >RIV/00216224:14330/17:00118585 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/63839172:_____/17:10132995

Výsledek na webu

<a href="http://dx.doi.org/10.1145/3147213.3147223" target="_blank" >http://dx.doi.org/10.1145/3147213.3147223</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3147213.3147223" target="_blank" >10.1145/3147213.3147223</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Scheduling Scientific Workloads in Private Cloud: Problems and Approaches

Popis výsledku v původním jazyce

Public cloud providers are using the "pay-per-use" model when providing their resources to customers. Among other advantages, it allows the provider to react to changing demands, e.g., by modifying prices or by extending its physical capacities using the profit obtained. In this paper we deal with a completely different model. We describe a private scientific cloud where resources are provided to researchers for free. As we demonstrate, the "absence of money" means that the system must employ other mechanisms to guarantee reasonable performance and utilization. Especially, the problem of guaranteeing user-to-user fairness represents a major issue. Moreover, since there is no financial burden related to the use of cloud infrastructure, many resources can be wasted by long running idle virtual machines (VM) that their users no longer need. This leads to underutilization and resource fragmentation. This paper discusses these problems using real-life data from the CERIT Scientific Cloud and proposes several techniques to guarantee fair and efficient use of system resources. Furthermore, we present a prototype of a new experimental OpenNebula-compatible VM scheduler which was designed as a replacement for the default scheduler provided in OpenNebula distribution. Unlike the default scheduler, our new scheduler provides complex fair-sharing mechanisms as well as modular and easy-to-extend architecture to enable further development of advanced VM scheduling policies.

Název v anglickém jazyce

Scheduling Scientific Workloads in Private Cloud: Problems and Approaches

Popis výsledku anglicky

Public cloud providers are using the "pay-per-use" model when providing their resources to customers. Among other advantages, it allows the provider to react to changing demands, e.g., by modifying prices or by extending its physical capacities using the profit obtained. In this paper we deal with a completely different model. We describe a private scientific cloud where resources are provided to researchers for free. As we demonstrate, the "absence of money" means that the system must employ other mechanisms to guarantee reasonable performance and utilization. Especially, the problem of guaranteeing user-to-user fairness represents a major issue. Moreover, since there is no financial burden related to the use of cloud infrastructure, many resources can be wasted by long running idle virtual machines (VM) that their users no longer need. This leads to underutilization and resource fragmentation. This paper discusses these problems using real-life data from the CERIT Scientific Cloud and proposes several techniques to guarantee fair and efficient use of system resources. Furthermore, we present a prototype of a new experimental OpenNebula-compatible VM scheduler which was designed as a replacement for the default scheduler provided in OpenNebula distribution. Unlike the default scheduler, our new scheduler provides complex fair-sharing mechanisms as well as modular and easy-to-extend architecture to enable further development of advanced VM scheduling policies.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

10th International Conference on Utility and Cloud Computing (UCC 2017)

ISBN

9781450351492

ISSN

—

e-ISSN

—

Počet stran výsledku

10

Strana od-do

9-18

Název nakladatele

ACM

Místo vydání

New York

Místo konání akce

Austin, TX

Datum konání akce

1. 1. 2017

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

000568256400005