Suche nach Personen

plus im Publikationsserver
plus bei BASE
plus bei Google Scholar

Daten exportieren

 

Decision Support for Service Transition Management : Enforce Change Scheduling by Performing Change Risk and Business Impact Analysis

Titelangaben

Verfügbarkeit überprüfen

Setzer, Thomas ; Bhattacharya, Kamal ; Ludwig, Heiko:
Decision Support for Service Transition Management : Enforce Change Scheduling by Performing Change Risk and Business Impact Analysis.
In: IEEE Network Operations and Management Symposium, 2008 : NOMS 2008; Salvador, Bahia, Brazil, 7 - 11 April 2008. - Bahia, Brasilien, 2008. - S. 200-207
ISBN 978-1-4244-2066-7

Volltext

Volltext Link zum Volltext (externe URL):
https://doi.org/10.1109/NOMS.2008.4575135

Kurzfassung/Abstract

In IT Service Delivery, alignment of service infrastructures to continuously changing business requirements is a primary cost driver, all the more as most severe service disruptions can be attributed to poor change impact and risk assessment. An IT service, defined as a means to provide value to a consumer, may be realized by a network of shared application and other resources that are invoked in the context of business processes. In the spirit of Service-Oriented Architecture (SOA) we consider each application or resource as a service. Changing services or service definitions in such an environment includes exceptionally high risk and complexity, as various business processes might depend on a service. In this paper we propose a model for analyzing the business impact of operational risks resulting from change related service downtimes of uncertain duration. The proposed solution takes into account the network of dependencies between services where services may or may not be realized through business processes. Based on the analytical model, we derive decision models in terms of deterministic and probabilistic mathematical programming formulations to schedule single or multiple correlated changes efficiently. Preliminary experiments are described to illustrate the efficiency of the proposed models. Using these decisions models, organizations can schedule service changes with the lowest expected impact on the business.

Weitere Angaben

Publikationsform:Aufsatz in einem Buch
Schlagwörter:Change Management; Service Transition Management; Change Scheduling; Service-oriented Architectures; Business Impact Analysis; Business-Driven IT Management
Institutionen der Universität:Wirtschaftswissenschaftliche Fakultät > Betriebswirtschaftslehre > ABWL und Wirtschaftsinformatik
DOI / URN / ID:10.1109/NOMS.2008.4575135
Titel an der KU entstanden:Nein
KU.edoc-ID:24991
Eingestellt am: 06. Okt 2020 09:15
Letzte Änderung: 06. Okt 2020 16:24
URL zu dieser Anzeige: https://edoc.ku.de/id/eprint/24991/
AnalyticsGoogle Scholar