TY - GEN
T1 - A bayesian knowledge engineering framework for service management
AU - Wang, Wei
AU - Wang, Hao
AU - Yang, Bo
AU - Liu, Liang
AU - Liu, Peini
AU - Zeng, Guosun
PY - 2008
Y1 - 2008
N2 - Service management is becoming more and more important within the area of IT service management. How to efficiently manage and organize service in complicated IT environments with frequent changes is a challenging issue. Service and the related information from different sources are characterized as diverse, incomplete, heterogeneous, and geographically distributed. It is hard to consume these complicated data without knowledge assistant. To address this problem, a knowledge engineering framework is proposed to tackle the challenges of acquisition, structuring and refinement of structured knowledge regarding existing different unstructured information resource, and the Bayesian Network is utilized as the knowledge model. This framework can be successfully applied on key tasks in service management, such as problem determination and change impact analysis. And a real example of Cisco VoIP system is introduced to show the usefulness of this method.
AB - Service management is becoming more and more important within the area of IT service management. How to efficiently manage and organize service in complicated IT environments with frequent changes is a challenging issue. Service and the related information from different sources are characterized as diverse, incomplete, heterogeneous, and geographically distributed. It is hard to consume these complicated data without knowledge assistant. To address this problem, a knowledge engineering framework is proposed to tackle the challenges of acquisition, structuring and refinement of structured knowledge regarding existing different unstructured information resource, and the Bayesian Network is utilized as the knowledge model. This framework can be successfully applied on key tasks in service management, such as problem determination and change impact analysis. And a real example of Cisco VoIP system is introduced to show the usefulness of this method.
KW - Bayesian networks
KW - Change impact analysis
KW - Knowledge engineering
KW - Problem determination
KW - Service management
UR - https://www.scopus.com/pages/publications/51849100429
U2 - 10.1109/NOMS.2008.4575210
DO - 10.1109/NOMS.2008.4575210
M3 - 会议稿件
AN - SCOPUS:51849100429
SN - 9781424420667
T3 - NOMS 2008 - IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubiquitous Networks and Services
SP - 771
EP - 774
BT - NOMS 2008 - IEEE/IFIP Network Operations and Management Symposium
T2 - NOMS 2008 - IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubiquitous Networks and Services
Y2 - 7 April 2008 through 11 April 2008
ER -