TY - GEN
T1 - Planning in the large
T2 - 2012 8th International Conference on Network and Service Management, CNSM 2012
AU - Hagen, Sebastian
AU - Cordeiro, Weverton Luis Da Costa
AU - Gaspary, Luciano Paschoal
AU - Granville, Lisandro Zambenedetti
AU - Seibold, Michael
AU - Kemper, Alfons
PY - 2012
Y1 - 2012
N2 - Change Management, a core process of the Information Technology Infrastructure Library (ITIL), is concerned with the management of changes to networks and services to minimize costly disruptions on the business. As part of Change Management, IT changes need to be planned. Previous approaches to automatically generate IT change plans struggle, in terms of scalability, to properly deal with large Configuration Management Databases (CMDBs). To enable IT change planning in the large, in this paper we discuss and analyze optimizations for refinement-based IT change planning over object-oriented CMDBs. Our optimizations reduce the runtime complexity of several key operations part of refinement-based IT change planning algorithms. A sensitivity analysis shows that our optimizations outperform SHOP2 - the winner of a previous comparison among IT change planners - in terms of runtime complexity for several important characteristics of IT changes and CMDBs. A cloud deployment case study of a Three-tier application and a virtual network configuration case study demonstrate the feasibility of our approach and confirm the results from the sensitivity analysis: IT change planning has evolved from planning in the small to planning in the large.
AB - Change Management, a core process of the Information Technology Infrastructure Library (ITIL), is concerned with the management of changes to networks and services to minimize costly disruptions on the business. As part of Change Management, IT changes need to be planned. Previous approaches to automatically generate IT change plans struggle, in terms of scalability, to properly deal with large Configuration Management Databases (CMDBs). To enable IT change planning in the large, in this paper we discuss and analyze optimizations for refinement-based IT change planning over object-oriented CMDBs. Our optimizations reduce the runtime complexity of several key operations part of refinement-based IT change planning algorithms. A sensitivity analysis shows that our optimizations outperform SHOP2 - the winner of a previous comparison among IT change planners - in terms of runtime complexity for several important characteristics of IT changes and CMDBs. A cloud deployment case study of a Three-tier application and a virtual network configuration case study demonstrate the feasibility of our approach and confirm the results from the sensitivity analysis: IT change planning has evolved from planning in the small to planning in the large.
KW - IT change plan generation
KW - ITIL Change Management
KW - artificial intelligence
KW - automated planning
UR - https://www.scopus.com/pages/publications/84872085729
M3 - Conference contribution
AN - SCOPUS:84872085729
SN - 9783901882494
T3 - Proceedings of the 2012 8th International Conference on Network and Service Management, CNSM 2012
SP - 108
EP - 116
BT - Proceedings of the 2012 8th International Conference on Network and Service Management, CNSM 2012
Y2 - 22 October 2012 through 26 October 2012
ER -