Adaptive Monitoring for Cloud-Native Microservices
  • Metaadatok
Tartalom: https://real.mtak.hu/225526/
Archívum: REAL
Gyűjtemény: Status = Published
Subject = T Technology / alkalmazott, műszaki tudományok: T2 Technology (General) / műszaki tudományok általában
Subject = Q Science / természettudomány: QA Mathematics / matematika
Type = Book Section
Subject = Q Science / természettudomány: QA Mathematics / matematika: QA76.76 Software Design and Development / Szoftvertervezés és -fejlesztés
Cím:
Adaptive Monitoring for Cloud-Native Microservices
Létrehozó:
Fodor, Balázs
Sonkoly, Balázs
Kiadó:
IEEE
Dátum:
2025
Téma:
QA Mathematics / matematika
QA76.76 Software Design and Development / Szoftvertervezés és -fejlesztés
T2 Technology (General) / műszaki tudományok általában
Tartalmi leírás:
Monitoring is essential in cloud environments, ensuring performance, efficient resource use, and application oversight. In microservices, it aids debugging and issue resolution, but its cost and resource impact must be minimized, especially in edge-cloud scenarios. In this paper, we propose the Adaptive Monitoring Controller (AdaMC) as a novel adaptive sampling approach for monitoring systems managing dynamic microservices and operated in edge-cloud environments. Our contribution is threefold. First, we present the problem of scrape frequency adaption for microservices. Second, we propose the AdaMC framework as a practical solution to the problem. Third, we evaluate AdaMC using real-world cloud scaling patterns, and different scenarios and compare the results with those of Prometheus monitoring tool. Our tests confirm that this dynamic adjustment can lead to significant resource savings and provide frequent monitoring depending on the behavior of the microservices.
Nyelv:
angol
Típus:
Book Section
NonPeerReviewed
info:eu-repo/semantics/bookPart
Formátum:
text
Azonosító:
Fodor, Balázs and Sonkoly, Balázs (2025) Adaptive Monitoring for Cloud-Native Microservices. In: NOMS 2025-2025 IEEE Network Operations and Management Symposium. IEEE IFIP Network Operations and Management Symposium . IEEE, Piscataway (NJ), p. 11073663. ISBN 9798331531638; 9798331531645
Kapcsolat:
MTMT:36261180 10.1109/NOMS57970.2025.11073663