Vulcan: Instance-Optimal Systems Heuristics Through LLM-Driven Search
In brief:
Resource-management tasks in modern operating and distributed systems continue to rely primarily on hand-designed heuristics for tasks such as scheduling, caching, or active queue management.
Designing performant heuristics is an expensive, time-consuming process that we are forced to continuously go through due to the constant flux of hardware, workloads and environments.
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About this source
Source
arXiv cs.AI
Type
Research Preprint
Published
Credibility
Peer-submitted research paper on arXiv
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arXiv cs.AI·Research Preprint·Primary Source·
Vulcan: Instance-Optimal Systems Heuristics Through LLM-Driven Search
TL;DR
Resource-management tasks in modern operating and distributed systems continue to rely primarily on hand-designed heuristics for tasks such as scheduling, caching, or active queue management.
Scan abstract → experiments → limitations. Also: note model size and inference requirements; check jurisdiction and timelines.
Full Analysis
Potential technical breakthrough.
Designing performant heuristics is an expensive, time-consuming process that we are forced to continuously go through due to the constant flux of hardware, workloads and environments.
