3 citations · 5 across the 9 of their papers we have counts for
10 papers
Blackbox Performance Analysis of LLM-based Network Control
Mahdi Alizadeh, Pooria Namyar, Arvin Ghavidel +1
LLMs are becoming an indispensable part of network control systems due to their impressive reasoning. Before such LLM-enabled systems can be deployed, it is imperative to develop t…
Near-optimal Online Traffic Engineering
Arvin Ghavidel, Pooria Namyar, Nikolai Matni +2
Most deployed WAN Traffic Engineering (TE) systems use a logically centralized controller that periodically gathers traffic demands, runs a TE optimization or heuristic, and then p…
Switchcraft: AI Model Router for Agentic Tool Calling
Sharad Agarwal, Pooria Namyar, Alec Wolman +3
Agentic AI systems that invoke external tools are powerful but costly, leading developers to default to large models and overspend inference budgets. Model routing can mitigate thi…
A Performance Analyzer for a Public Cloud's ML-Augmented VM Allocator
Roozbeh Bostandoost, Pooria Namyar, Siva Kesava Reddy Kakarla +8
Cloud operators increasingly deploy multiple ML models in their VM allocation pipelines. In such settings, individually benign predictions can shift and compound, severely degradin…
Robust Heuristic Algorithm Design with LLMs
Pantea Karimi, Dany Rouhana, Pooria Namyar +3
We posit that we can generate more robust and performant heuristics if we augment approaches using LLMs for heuristic design with tools that explain why heuristics underperform and…
Towards Safer Heuristics With XPlain
Pantea Karimi, Solal Pirelli, Siva Kesava Reddy Kakarla +5
Many problems that cloud operators solve are computationally expensive, and operators often use heuristic algorithms (that are faster and scale better than optimal) to solve them m…
Finding Adversarial Inputs for Heuristics using Multi-level Optimization
Pooria Namyar, Behnaz Arzani, Ryan Beckett +5
Production systems use heuristics because they are faster or scale better than their optimal counterparts. Yet, practitioners are often unaware of the performance gap between a heu…
Solving Max-Min Fair Resource Allocations Quickly on Large Graphs
Pooria Namyar, Behnaz Arzani, Srikanth Kandula +5
We consider the max-min fair resource allocation problem. The best-known solutions use either a sequence of optimizations or waterfilling, which only applies to a narrow set of cas…
Everything Matters in Programmable Packet Scheduling
Albert Gran Alcoz, Balázs Vass, Gábor Rétvári +1
Programmable packet scheduling allows the deployment of scheduling algorithms into existing switches without need for hardware redesign. Scheduling algorithms are programmed by tag…
Enhancing Network Failure Mitigation with Performance-Aware Ranking
Pooria Namyar, Arvin Ghavidel, Daniel Crankshaw +5
Cloud providers install mitigations to reduce the impact of network failures within their datacenters. Existing network mitigation systems rely on simple local criteria or global p…