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Journal of Network and Systems Management
Erschienen in: Journal of Network and Systems Management 4/2017

03.10.2017

Building Automated Data Driven Systems for IT Service Management

verfasst von: Yixin Diao, Larisa Shwartz

Erschienen in: Journal of Network and Systems Management | Ausgabe 4/2017

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Abstract

Enterprises and service providers are increasingly challenged with improving the quality of service delivery while containing the cost. However, it is often difficult to effectively manage the complex relationships among dynamic customer workloads, strict service level requirements, and efficient service management processes. In this paper, we present our progress on building autonomic systems for IT service management through a collection of automated data driven methodologies. This includes the design of feedback controllers for workload management, the use of simulation-optimization methodology for workforce management, and the development of machine learning models for event management. We demonstrate the applicability of the presented approaches using examples and data from a large IT service delivery environment.
Vorheriger Artikel Elastic Optical Networking for 5G Transport
Nächster Artikel Challenges and Directions in Service Management Automation

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Metadaten
Titel
Building Automated Data Driven Systems for IT Service Management
verfasst von
Yixin Diao
Larisa Shwartz
Publikationsdatum
03.10.2017
Verlag
Springer US
Erschienen in
Journal of Network and Systems Management / Ausgabe 4/2017
Print ISSN: 1064-7570
Elektronische ISSN: 1573-7705
DOI
https://doi.org/10.1007/s10922-017-9430-3

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