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A Runtime Constraint-Aware Solution for Automated Refinement of IT Change Plans
DSOM '08 Proceedings of the 19th IFIP/IEEE international workshop on Distributed Systems: Operations and Management: Managing Large-Scale Service Deployment
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One Is Not Enough: A Hybrid Approach for IT Change Planning
DSOM '09 Proceedings of the 20th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management: Integrated Management of Systems, Services, Processes and People in IT
Changerefinery: assisted refinement of high-level IT change requests
POLICY'09 Proceedings of the 10th IEEE international conference on Policies for distributed systems and networks
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
ITIL Lifecycle Suite 2011 Edition
ITIL Lifecycle Suite 2011 Edition
A Semantic Interoperability Framework for Cloud Platform as a Service
CLOUDCOM '11 Proceedings of the 2011 IEEE Third International Conference on Cloud Computing Technology and Science
A performance and usability comparison of automated planners for IT change planning
Proceedings of the 7th International Conference on Network and Services Management
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Proceedings of the 7th International Conference on Network and Services Management
Change Priority Determination in IT Service Management Based on Risk Exposure
IEEE Transactions on Network and Service Management
SYMIAN: Analysis and performance improvement of the IT incident management process
IEEE Transactions on Network and Service Management
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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.