Self-adaptive K8S Cloud Controller for Time-sensitive Applications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10438245" target="_blank" >RIV/00216208:11320/21:10438245 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/SEAA53835.2021.00029" target="_blank" >https://doi.org/10.1109/SEAA53835.2021.00029</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SEAA53835.2021.00029" target="_blank" >10.1109/SEAA53835.2021.00029</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Self-adaptive K8S Cloud Controller for Time-sensitive Applications

Popis výsledku v původním jazyce

The paper presents a self-adaptive Kubernetes cloud controller for scheduling time-sensitive applications. The controller allows services to specify timing requirements (response time or throughput) and schedules services on shared cloud resources so as to meet the requirements. The controller builds and continuously updates an internal performance model of each service and uses it to determine the kind of resources needed by a service, as well as predict potential contention on shared resources, and (re-)deploys services accordingly. The controller is integrated with our highly-customizable data processing and visualization platform IVIS, which provides a web-based front-end for service deployment and visualization of results. The controller implementation is open-source and is intended to provide an easy-to-use testbed for experiments focusing on various aspects of adaptive scheduling and deployment in the cloud.

Název v anglickém jazyce

Self-adaptive K8S Cloud Controller for Time-sensitive Applications

Popis výsledku anglicky

The paper presents a self-adaptive Kubernetes cloud controller for scheduling time-sensitive applications. The controller allows services to specify timing requirements (response time or throughput) and schedules services on shared cloud resources so as to meet the requirements. The controller builds and continuously updates an internal performance model of each service and uses it to determine the kind of resources needed by a service, as well as predict potential contention on shared resources, and (re-)deploys services accordingly. The controller is integrated with our highly-customizable data processing and visualization platform IVIS, which provides a web-based front-end for service deployment and visualization of results. The controller implementation is open-source and is intended to provide an easy-to-use testbed for experiments focusing on various aspects of adaptive scheduling and deployment in the cloud.

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)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)

ISBN

978-1-66542-705-0

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

166-169

Název nakladatele

IEEE

Místo vydání

USA

Místo konání akce

Palermo, Italy

Datum konání akce

1. 9. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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