MetaOpt
Towards efficient heuristic design where we achieve quantifiable and confident performance
We use heuristics all the time across many systems including those that are critical to production services. Production systems use heuristics because they are faster or scale better than their optimal counterparts. But practitioners often don’t know the performance gap between the heuristic and the optimal, or another heuristic in realistic scenarios. We present MetaOpt, a system that helps analyze heuristics.
Microsoft Research ブログ
Ideas: Solving network management puzzles with Behnaz Arzani
| Gretchen Huizinga と Behnaz Arzani
Behnaz Arzani loves hard problems and the freedom to explore. That makes research a great fit! She discusses her work in network management, including the potential role of LLMs in the field; the challenges that excite her; and how storytelling…
Microsoft at NSDI 2024: Discoveries and implementations in networked systems
| Ranveer Chandra
Microsoft at NDSI 2024: Discoveries and implementations in networked systems Topics range from 5G, space, datacenters, and wide-area networking to applications in artificial intelligence, security, video conferencing, and gaming. Learn more about the discoveries and advances we’re making with networked…
MetaOpt: Examining, explaining, and improving heuristic performance
| Behnaz Arzani, Pooria Namyar, Solal Pirelli, Ryan Beckett, Siva Kesava Reddy Kakarla, Srikanth Kandula, と Santiago Segarra
MetaOpt helps analyze, explain, and improve heuristic performance before deployment in production systems. Learn how it works, particularly in traffic engineering, packet scheduling, and VM placement.
Research Focus: Week of December 4, 2023
Research Focus: Using LLMs in a Rust-based formal verification framework; Rethinking network measurements with user feedback; 3D telemedicine using HoloportationTM communication technology could enhance overseas surgical visits.