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

3 citations · 4 across the 14 of their papers we have counts for

collaborators

15 papers

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.NI2026

MAESTRO: Multi-Agent Evaluation Suite for Testing, Reliability, and Observability

Tie Ma, Yixi Chen, Vaastav Anand +8

We present MAESTRO, an evaluation suite for the testing, reliability, and observability of LLM-based MAS. MAESTRO standardizes MAS configuration and execution through a unified int…

cs.CR2025

SoK: Demystifying the multiverse of MPC protocols

Roberta De Viti, Vaastav Anand, Pierfrancesco Ingo +1

This paper systematizes knowledge on the performance of Multi-Party Computation (MPC) protocols. Despite strong privacy and correctness guarantees, MPC adoption in real-world appli…

cs.SE2025

DMAS-Forge: A Framework for Transparent Deployment of AI Applications as Distributed Systems

Alessandro Cornacchia, Vaastav Anand, Muhammad Bilal +2

Agentic AI applications increasingly rely on multiple agents with distinct roles, specialized tools, and access to memory layers to solve complex tasks -- closely resembling servic…

cs.OS2025

Iridescent: A Framework Enabling Online System Implementation Specialization

Vaastav Anand, Deepak Garg, Antoine Kaufmann

Specializing systems to specifics of the workload they serve and platform they are running on often significantly improves performance. However, specializing systems is difficult i…

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.SE2025

Towards Online Code Specialization of Systems

Vaastav Anand, Deepak Garg, Antoine Kaufmann

Specializing low-level systems to specifics of the workload they serve and platform they are running on often significantly improves performance. However, specializing systems is d…

cs.DB2024

Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL

Vishwanath Seshagiri, Siddharth Balyan, Vaastav Anand +5

Logging is a critical function in modern distributed applications, but the lack of standardization in log query languages and formats creates significant challenges. Developers cur…

cs.PF2024

Columbo: Low Level End-to-End System Traces through Modular Full-System Simulation

Jakob Görgen, Vaastav Anand, Hejing Li +2

Fully understanding performance is a growing challenge when building next-generation cloud systems. Often these systems build on next-generation hardware, and evaluation in realist…

cs.DB2024

SoK: The Faults in our Graph Benchmarks

Puneet Mehrotra, Vaastav Anand, Daniel Margo +2

Graph-structured data is prevalent in domains such as social networks, financial transactions, brain networks, and protein interactions. As a result, the research community has pro…

cs.OS2023

HotOS XIX Panel Report: Panel on Future of Reproduction and Replication of Systems Research

Roberta De Viti, Solal Pirelli, Vaastav Anand

At HotOS XIX (2023), we organized a panel to discuss the future of reproducibility and replication in systems research. In this document, we highlight the key points and themes tha…

cs.DC2022★ 3 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★ 1 cited

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…