Acala: Aggregate Monitoring for Geo-Distributed Cluster Federations - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2023

Acala: Aggregate Monitoring for Geo-Distributed Cluster Federations

Abstract

Distributed monitoring is an essential functionality to allow large cluster federations to efficiently schedule applications on a set of available geo-distributed resources. However, periodically reporting the precise status of each available server is both unnecessary to allow accurate scheduling and unscalable when the number of servers grows. This paper proposes Acala, a monitoring framework for geo-distributed cluster federations which aims to provide the management cluster with aggregate information about the entire cluster instead of individual servers. Our evaluations, based on actual deployment under controlled environment in the geodistributed Grid'5000 testbed, show that Acala reduces the crosscluster network traffic by up to 99% and the scrape duration by up to 55%.
Fichier principal
Vignette du fichier
main.pdf (707.34 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03899133 , version 1 (14-12-2022)

Identifiers

  • HAL Id : hal-03899133 , version 1

Cite

Chih-Kai Huang, Guillaume Pierre. Acala: Aggregate Monitoring for Geo-Distributed Cluster Federations. SAC 2023 - 38th ACM/SIGAPP Symposium On Applied Computing, Mar 2023, Tallinn, Estonia. pp.1-9. ⟨hal-03899133⟩
134 View
77 Download

Share

Gmail Mastodon Facebook X LinkedIn More