activity
20162026
most citedRevelio: ML-Generated Debugging Queries for Distributed Systems

2 citations · 4 across the 5 of their papers we have counts for

collaborators

11 papers

cs.NI2026

Probabilistic Fair Ordering of Events

Muhammad Haseeb, Jinkun Geng, Aurojit Panda +4

A growing class of applications depends on fair ordering, where events that occur earlier should be processed before later ones. Providing such guarantees is difficult in practice…

cs.NI2025

Beyond Lamport, Towards Probabilistic Fair Ordering

Muhammad Haseeb, Jinkun Geng, Radhika Mittal +3

A growing class of applications demands \emph{fair ordering} of events, which ensures that events generated earlier are processed before later events. However, achieving such seque…

cs.NI20252 cited

Tiga: Accelerating Geo-Distributed Transactions with Synchronized Clocks [Technical Report]

Jinkun Geng, Shuai Mu, Anirudh Sivaraman +1

This paper presents Tiga, a new design for geo-replicated and scalable transactional databases such as Google Spanner. Tiga aims to commit transactions within 1 wide-area roundtrip…

cs.NI2025

GPUs, CPUs, and... NICs: Rethinking the Network's Role in Serving Complex AI Pipelines

Mike Wong, Ulysses Butler, Emma Farkash +3

The increasing prominence of AI necessitates the deployment of inference platforms for efficient and effective management of AI pipelines and compute resources. As these pipelines…

cs.NI2022

High-Level Synthesis for Packet-Processing Pipelines

Xiangyu Gao, Divya Raghunathan, Ruijie Fang +5

Compiling high-level programs to target high-speed packet-processing pipelines is a challenging combinatorial optimization problem. The compiler must configure the pipeline's resou…

cs.DC20212 cited

Revelio: ML-Generated Debugging Queries for Distributed Systems

Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman +3

A major difficulty in debugging distributed systems lies in manually determining which of the many available debugging tools to use and how to query its logs. Our own study of a pr…