Publications
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field.
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1 - 15 of 362 publications
Distributed Systems and Parallel Computing
Fast ACS: Low-Latency File-Based Ordered Message Delivery at Scale
Anil Raghunath Iyer
Neel Bagora
Chang Yu
Olivier Pomerleau
Vivek Kumar
Prunthaban Kanthakumar
Usenix Annual Technical Conference (2025) (to appear)
Federated Variational Inference: Towards Improved Personalization and Generalization
Elahe Vedadi
Josh Dillon
Philip Mansfield
Karan Singhal
Arash Afkanpour
Warren Morningstar
AAAI Federated Learning on the Edge Symposium (2024)
How we use GenAI in SRE
CommitConf, Madrid (2024)
Thesios: Synthesizing Accurate Counterfactual I/O Traces from I/O Samples
Mangpo Phothilimthana
Soroush Ghodrati
Selene Moon
ASPLOS 2024, Association for Computing Machinery
BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse
Justin Levandoski
Garrett Casto
Mingge Deng
Rushabh Desai
Thibaud Hottelier
Amir Hormati
Anoop Johnson
Jeff Johnson
Dawid Kurzyniec
Prem Ramanathan
Gaurav Saxena
Vidya Shanmugam
Yuri Volobuev
SIGMOD (2024)
Distributed Tracing for InterPlanetary File System
Marshall David Miller
Rachel Han
Haorui Guo
2024 International Symposium on Parallel Computing and Distributed Systems (PCDS), IEEE, pp. 1-5
On-Chain Crypto-Secured Credential Verification On Permissioned Blockchain
2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS), IEEE, pp. 1-6
Transparent Migration of Datastore to Firestore
Ed Davisson
Tilo Dickopp
David Gay
Eric Karasuda
Ram Kesavan
Vadim Yushprakh
2024
Progressive Partitioning for Parallelized Query Execution in Google’s Napa
Junichi Tatemura
Yanlai Huang
Jim Chen
Yupu Zhang
Kevin Lai
Divyakant Agrawal
Brad Adelberg
Shilpa Kolhar
Indrajit Roy
49th International Conference on Very Large Data Bases, VLDB (2023), pp. 3475-3487
CAPA: An Architecture For Operating Cluster Networks With High Availability
Bingzhe Liu
Mukarram Tariq
Omid Alipourfard
Rich Alimi
Deepak Arulkannan
Virginia Beauregard
Patrick Conner
Brighten Godfrey
Xander Lin
Mayur Patel
Joon Ong
Amr Sabaa
Alex Smirnov
Manish Verma
Prerepa Viswanadham
Google, Google, 1600 Amphitheatre Pkwy, Mountain View, CA 94043 (2023)
