Multi-Agent Planning as Search for a Consensus that Maximizes Social Welfare
MAAMAW '92 Selected papers from the 4th European Workshop on on Modelling Autonomous Agents in a Multi-Agent World, Artificial Social Systems
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
An efficient algorithm for multiagent plan coordination
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Multi-Agent Coordination and Cooperation through Classical Planning
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Fast transparent migration for virtual machines
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Live wide-area migration of virtual machines including local persistent state
Proceedings of the 3rd international conference on Virtual execution environments
Live data center migration across WANs: a robust cooperative context aware approach
Proceedings of the 2007 SIGCOMM workshop on Internet network management
Extending Classical Planning to the Multi-agent Case: A Game-Theoretic Approach
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Proceedings of the ACM/IFIP/USENIX 2006 International Conference on Middleware
Improving the live migration process of large enterprise applications
VTDC '09 Proceedings of the 3rd international workshop on Virtualization technologies in distributed computing
PDDL2.1: an extension to PDDL for expressing temporal planning domains
Journal of Artificial Intelligence Research
Sapa: a multi-objective metric temporal planner
Journal of Artificial Intelligence Research
Planning with durative actions in stochastic domains
Journal of Artificial Intelligence Research
Planning with resources and concurrency a forward chaining approach
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Translating HTNs to PDDL: a small amount of domain knowledge can go a long way
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
A general, fully distributed multi-agent planning algorithm
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
SAP speaks PDDL: exploiting a software-engineering model for planning in business process management
Journal of Artificial Intelligence Research
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Operations of modern organizations critically depend on Data Centers (DC). Due to ad hoc additions from diverse business units over time, the IT resources in a DC get unwieldy and complex. Transformations of DC - server consolidation, migration, application/data simplification, technology standardization - are important for cost, efficiency and reliability. Even when a specific transformation is identified ("consolidate these 100 existing servers into these 48 new servers") it is difficult to generate a detailed optimal project plan for its execution. The project plan must identify all the tasks involved, identify an optimal team (size and expertise) and generate a detailed work schedule that meets the and respects the constraints and dependencies among the tasks. We present a methodology to generate such a plan automatically from given "high-level" IT transformation specifications ("as-is" and "to-be" states). We adopt a heuristic forward chaining metric temporal planner engine (SAPA) to generate a project plan that attempts to optimize the overall time and team-size. The idea is to capture the domain-knowledge as reusable planning action. This automation reduces the efforts and errors in manual project planning. The method can be extended to projects in other domains.