Real-life Experience with Private Cloud hosting Heterogeneous Scientific Workloads

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F18%3A10133224" target="_blank" >RIV/63839172:_____/18:10133224 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14610/18:00113738

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8605767" target="_blank" >https://ieeexplore.ieee.org/document/8605767</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/UCC-Companion.2018.00044" target="_blank" >10.1109/UCC-Companion.2018.00044</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Real-life Experience with Private Cloud hosting Heterogeneous Scientific Workloads

Popis výsledku v původním jazyce

We present our experience with hosting scientific workloads in a private scientific cloud, where both the infrastructure as well as the workloads are heterogeneous. We support two major classes of workloads-classic virtual machines (VMs) and batch job computations. Furthermore, containerized applications and scientific portals such as Galaxy are also hosted in this infrastructure. Using our experience, we describe the system setup, the technologies used to run this heterogeneous system as well as some of the problems we have faced when managing this system throughout the years. Modern computing environments such as clouds, grids or HPC clusters are both complex and costly installations. Therefore, it has always been a major challenge to utilize them properly. Things like improper setup or bad scheduling policy may easily hamper overall performance of the whole system. We believe that our experience and observations may help other researchers and system administrators identify new research directions and/ or potential weak spots. Importantly, the problems discussed in this paper are based on real-life data from the CERIT Scientific Cloud that we freely offer for further analysis and/ or simulations.

Název v anglickém jazyce

Real-life Experience with Private Cloud hosting Heterogeneous Scientific Workloads

Popis výsledku anglicky

We present our experience with hosting scientific workloads in a private scientific cloud, where both the infrastructure as well as the workloads are heterogeneous. We support two major classes of workloads-classic virtual machines (VMs) and batch job computations. Furthermore, containerized applications and scientific portals such as Galaxy are also hosted in this infrastructure. Using our experience, we describe the system setup, the technologies used to run this heterogeneous system as well as some of the problems we have faced when managing this system throughout the years. Modern computing environments such as clouds, grids or HPC clusters are both complex and costly installations. Therefore, it has always been a major challenge to utilize them properly. Things like improper setup or bad scheduling policy may easily hamper overall performance of the whole system. We believe that our experience and observations may help other researchers and system administrators identify new research directions and/ or potential weak spots. Importantly, the problems discussed in this paper are based on real-life data from the CERIT Scientific Cloud that we freely offer for further analysis and/ or simulations.

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

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

2018 IEEE/ACM INTERNATIONAL CONFERENCE ON UTILITY AND CLOUD COMPUTING COMPANION (UCC COMPANION)

ISBN

978-1-72810-359-4

ISSN

2373-6860

e-ISSN

—

Počet stran výsledku

6

Strana od-do

115-120

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Zurich

Datum konání akce

17. 12. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000458720100027