IoMiRCA: Root cause analysis in IoT-extended 5G microservice environments

被引：2

作者：

Heeb, Zeno ^{[1
]}

Kalinagac, Onur ^{[1
]}

Soussi, Wissem ^{[1
]}

Guer, Guerkan ^{[1
]}

机构：

[1] Zurich Univ Appl Sci ZHAW, Inst Appl Informat Technol InIT, CH-8401 Winterthur, Switzerland

来源：

38TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2023 | 2023年

关键词：

Root cause analysis; critical infrastructure management; microservices; 5G and Beyond; edge-to-cloud continuum;

D O I：

10.1145/3555776.3577840

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Softwarized services in converged networks are evolving from monolithic applications to distributed architectures, often comprising numerous microservices. At the same time, with the massive proliferation of IoT devices, much more complexity and diversity are added to such critical infrastructures. In that regard, Root Cause Analysis (RCA) is an important part of a running distributed service ecosystem to keep the applications available and manageable by finding the root causes of errors and malfunctions. This paper provides a topology graph based anomaly detection and RCA solution for the microservice architecture in edge-to-cloud environments entailing microservices in combination with IoT.

引用

页码：106 / 108

页数：3

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