Constraint-Driven Resource Allocation for Agentic Workflows
A recent preprint on arXiv (2605.06110) presents a novel framework for managing online resource distribution in agentic systems while adhering to specific budgetary and deadline requirements. This study tackles the issue of enhancing the likelihood of finishing a workflow organized by dependencies within defined financial and temporal parameters. The executor distributes models and parallel samples among subtasks that can be executed concurrently, relying on success rate and generation length estimates for each model-subtask combination. This approach emphasizes meeting constraints in practical applications rather than merely optimizing average efficiency.
Key facts
- arXiv preprint 2605.06110
- Announcement type: new
- Focuses on constraint-driven online resource allocation for agentic workflows
- Workflows have dependency structure
- Subtasks assigned to specialized models or tools
- Explicit budget and deadline constraints
- Goal: maximize probability of successful completion under constraints
- Executor allocates models and parallel samples across subtasks
Entities
Institutions
- arXiv