activity
20202026
most citedThe Benefit of Hindsight: Tracing Edge-Cases in Distributed Systems

3 citations · 3 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.DC2026

Enabling Multi-Dimensional Distributed Trace Comparison with Contrast

Vaastav Anand, Rodrigo Fonseca, Jonathan Mace +1

Diagnosis using distributed traces is fundamentally a comparative task: operators seek to understand how an anomalous execution differs from expected behavior, how a deployment cha…

cs.DC2026

Epistemic Observability in Language Models

Tony Mason, Vaastav Anand

We find that models report highest confidence precisely when they are fabricating. Across four model families (OLMo-3, Llama-3.1, Qwen3, Mistral), self-reported confidence inversel…

cs.DC2025

Generating representative macrobenchmark microservice systems from distributed traces with Palette

Vaastav Anand, Matheus Stolet, Jonathan Mace +1

Microservices are the dominant design for developing cloud systems today. Advancements for microservice need to be evaluated in representative systems, e.g. with matching scale, to…

cs.DC2025

Intent-based System Design and Operation

Vaastav Anand, Yichen Li, Alok Gautam Kumbhare +6

Cloud systems are the backbone of today's computing industry. Yet, these systems remain complicated to design, build, operate, and improve. All these tasks require significant manu…

cs.DC20223 cited

The Benefit of Hindsight: Tracing Edge-Cases in Distributed Systems

Lei Zhang, Vaastav Anand, Zhiqiang Xie +2

Today's distributed tracing frameworks are ill-equipped to troubleshoot rare edge-case requests. The crux of the problem is a trade-off between specificity and overhead. On the one…

cs.DC2020

Aggregate-Driven Trace Visualizations for Performance Debugging

Vaastav Anand, Matheus Stolet, Thomas Davidson +3

Performance issues in cloud systems are hard to debug. Distributed tracing is a widely adopted approach that gives engineers visibility into cloud systems. Existing trace analysis…