Module aims
Real-life problems arising in computer science, computational management and economics often involve deciding the best way to use a given set of resources (e.g., servers, networks, routes) to complete a desired set of tasks within constraints (e.g., costs, deadline). Examples include job scheduling, workflow allocation, traffic routing, business processes optimization. The module blends methods from optimization, scheduling, and game theory to teach the best decision algorithms for such problems. Emphasis will be given to understand the trade-offs between cooperative and competitive approaches, both in centralized and decentralized decision making.
https://www.imperial.ac.uk/computing/current-students/courses/70068/
- Scheduling Allocation Resource andscheduling allocation resource and allocation resource eme 08 call_and_retry_last allocation javascript failed scheduling allocation core-scheduling allocation内存dynamic动态 multi-objective game-theoretic allocation objective core-scheduling scheduling background quartz distribution optimization performance scheduling