EdgeCloud Mon: A lightweight monitoring stack for K3s clusters

Ioannis Korontanis; Antonios Makris; Konstantinos Tserpes

SoftwareX (May 2024)

EdgeCloud Mon: A lightweight monitoring stack for K3s clusters

Ioannis Korontanis,
Antonios Makris,
Konstantinos Tserpes

Affiliations

Ioannis Korontanis: Corresponding author at: Department of Informatics and Telematics, Harokopio University of Athens, Greece.; Department of Informatics and Telematics, Harokopio University of Athens, Greece; School of Electrical and Computer Engineering, National Technical University of Athens, Greece
Antonios Makris: Department of Informatics and Telematics, Harokopio University of Athens, Greece; School of Electrical and Computer Engineering, National Technical University of Athens, Greece
Konstantinos Tserpes: Department of Informatics and Telematics, Harokopio University of Athens, Greece; School of Electrical and Computer Engineering, National Technical University of Athens, Greece

Journal volume & issue: Vol. 26
p. 101675

Abstract

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Platforms that utilize resources spanning from the Edge and Cloud continuum demand a monitoring system capable of reporting diverse metrics for various applications on heterogeneous resources. EdgeCloud Mon guarantees consistent monitoring of application components, whether deployed on Edge or Cloud resources, while also addressing the multitude of computing power variations within the Edge and Cloud continuum. Consequently, this monitoring mechanism is lightweight enough to operate efficiently on Edge resources yet robust enough to deliver accurate results for both Cloud and Edge resources.

Published in SoftwareX

ISSN: 2352-7110 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
Website: http://www.journals.elsevier.com/softwarex/

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