Detecting Operator Errors in Cloud Maintenance Operations

IT services built from cloud applications are subject of several maintenance operations like upgrades, reconfigurations, or redeployments. Monitoring those changes is crucial to detect operator errors, which are a main source of service failures. Another challenge, which exacerbates operator errors...

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Bibliographic Details
Published in2016 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) pp. 639 - 644
Main Author Vetter, Arthur
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2016
Subjects
Business
Cloud computing
IT Service Management
Maintenance engineering
Monitoring
Servers
TOSCA
XML
XML Nets
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Summary:IT services built from cloud applications are subject of several maintenance operations like upgrades, reconfigurations, or redeployments. Monitoring those changes is crucial to detect operator errors, which are a main source of service failures. Another challenge, which exacerbates operator errors is the increasing frequency of changes, e.g. because of continuous deployments. In this paper we propose a monitoring approach to detect operator errors right when they appear, by using complex event processing and anti-pattern. The basis of the monitoring approach is a novel business process modelling method, combining TOSCA and XML-nets, which is the main contribution in this paper.
ISSN:2380-8004
DOI:10.1109/CloudCom.2016.0110