10 citations · 14 across the 12 of their papers we have counts for
4 papers · 1 filter
Avoiding Cross-Datacenter Collective Congestion via Disaggregated Buffering
Mariano Scazzariello, Noga H. Rotman, Dima Gavrilenko +6
LLM training at the scale of tens of thousands of GPUs now spans multiple datacenters (DC), making cross-DC collectives over long-haul links unavoidable. A critical and overlooked…
Can LLMs Forecast Internet Traffic from Social Media?
Jonatan Langlet, Mariano Scazzariello, Flavio Luciani +3
Societal events shape the Internet's behavior. The death of a prominent public figure, a software launch, or a major sports match can trigger sudden demand surges that overwhelm pe…
Just-in-Time Packet State Prefetching
Hamid Ghasemirahni, Alireza Farshin, Dejan Kostic +1
Could information about future incoming packets be used to build more efficient CPU-based packet processors? Can such information be obtained accurately? This paper studies novel p…
Making Network Configuration Human Friendly
Changjie Wang, Mariano Scazzariello, Alireza Farshin +2
This paper explores opportunities to utilize Large Language Models (LLMs) to make network configuration human-friendly, simplifying the configuration of network devices and minimiz…