Title
Planning in the large: efficient generation of IT change plans on large infrastructures
Abstract
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.
Year
Venue
Keywords
2012
CNSM
runtime complexity,large infrastructure,efficient generation,large configuration management databases,it change planner,sensitivity analysis,change management,cloud deployment case study,object-oriented cmdbs,it change,key operations part,it change planning,management of change,cloud computing,computational complexity,planning,layout,itil change management,artificial intelligence,algorithm design and analysis,optimization
Field
DocType
ISBN
Virtual network,Information Technology Infrastructure Library,Change management,Computer science,Change management (ITSM),Configuration management,Computational complexity theory,Scalability,Cloud computing,Distributed computing
Conference
978-3-901882-48-7
Citations 
PageRank 
References 
1
0.36
16
Authors
6