Edge offloading for microservice architectures

Zilic, Josip; De Maio, Vincenzo; Aral, Atakan; Brandic, Ivona

doi:10.1145/3517206.3526266

Datensatz Zitierlink:

http://hdl.handle.net/20.500.12708/150272

Titel:

Edge offloading for microservice architectures

Zitat:

Zilic, J., De Maio, V., Aral, A., & Brandic, I. (2022). Edge offloading for microservice architectures. In Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking (pp. 1–6). Association for Computing Machinery. https://doi.org/10.1145/3517206.3526266

CatalogPlus:

AC17361888

Verlags-DOI:

10.1145/3517206.3526266

Publikationstyp:

Konferenzbeitrag - Full-Paper Contribution

Sprache:

Englisch

Autor_innen:

Zilic, Josip
De Maio, Vincenzo
Aral, Atakan
Brandic, Ivona

Organisationseinheit:

E194-04 - Forschungsbereich Data Science

Erschienen in:

Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking

ISBN:

9781450392532

Datum (veröffentlicht):

5-Apr-2022

Veranstaltungsname:

EdgeSys'22: 5th International Workshop on Edge Systems, Analytics and Networking

Veranstaltungszeitraum:

5-Apr-2022 - 8-Apr-2022

Veranstaltungsort:

Frankreich

Umfang:

Verlag:

Association for Computing Machinery, New York, NY, United States

Keywords:

containers; edge offloading; kubernetes; microservices

Abstract:

Edge offloading is widely used to support the execution of near real-Time mobile applications. However, offloading on edge infrastructures can suffer from failures due to the absence of supporting systems and environmental factors. We propose a fault-Tolerant offloading method modeled as a Markov Decision Process (MDP) based on predictions performed through Support Vector Regression (SVR). SVR is used to estimate offloading service availability, which is used by MDP for offloading decisions. Our approach is implemented in a real-world test-bed and compared with the default Kubernetes scheduler augmented with hybrid fault-Tolerance.

Projekttitel:

Laufzeitkontrolle in Multi-Clouds: Y 904-N31 (FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF))

Forschungsschwerpunkte:

Information Systems Engineering: 100%

Wissenschaftszweig:

1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%

Lizenz:

Urheberrechtsschutz

Enthalten in den Sammlungen:

Conference Paper