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Scheduling Scientific Workloads in Private Cloud: Problems and Approaches

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/63839172:_____/17:10132995

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Scheduling Scientific Workloads in Private Cloud: Problems and Approaches

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

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

  • ISBN

    9781450351492

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    9-18

  • Publisher name

    ACM

  • Place of publication

    New York

  • Event location

    Austin, TX

  • Event date

    Jan 1, 2017

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article

    000568256400005