Protecting against rare event failures in archival systems. - Avani Wildani; Thomas J. E. Schwarz; Ethan L. Miller; Darrell D. E. Long (MASCOTS, 2009)

A Graphical Representation for Identifier Structure in Logs. - Ariel Rabkin; Wei Xu 012; Avani Wildani; Armando Fox; David A. Patterson 001; Randy H. Katz (SLAML, 2010)

GAUL: Gestalt Analysis of Unstructured Logs for Diagnosing Recurring Problems in Large Enterprise Storage Systems. - Pin Zhou; Binny S. Gill; Wendy Belluomini; Avani Wildani (SRDS, 2010)

Efficiently identifying working sets in block I/O streams. - Avani Wildani; Ethan L. Miller; Lee Ward (SYSTOR, 2011)

HANDS: A heuristically arranged non-backup in-line deduplication system. - Avani Wildani; Ethan L. Miller; Ohad Rodeh (ICDE, 2013)

Validating Storage System Instrumentation. - Ian F. Adams; Mark W. Storer; Avani Wildani; Ethan L. Miller; Brian A. Madden (MASCOTS, 2013)

Single-Snapshot File System Analysis. - Avani Wildani; Ian F. Adams; Ethan L. Miller (MASCOTS, 2013)

Examining extended and scientific metadata for scalable index designs. - Aleatha Parker-Wood; Darrell D. E. Long; Brian A. Madden; Ian F. Adams; Michael McThrow; Avani Wildani (SYSTOR, 2013)

The Promise Of Data Grouping In Large Scale Storage Systems. - Avani Wildani (2013)

An Economic Perspective of Disk vs. Flash Media in Archival Storage. - Preeti Gupta; Avani Wildani; Ethan L. Miller; Daniel C. Rosenthal; Ian F. Adams; Christina E. Strong; Andy Hospodor (MASCOTS, 2014)

PERSES: Data Layout for Low Impact Failures. - Avani Wildani; Ethan L. Miller; Ian F. Adams; Darrell D. E. Long (MASCOTS, 2014)

A Case for Rigorous Workload Classification. - Avani Wildani; Ian F. Adams (MASCOTS, 2015)

Effects of prolonged media usage and long-term planning on archival systems. - Preeti Gupta; Avani Wildani; Ethan L. Miller; David S. H. Rosenthal; Darrell D. E. Long (MSST, 2016)

Can We Group Storage? Statistical Techniques to Identify Predictive Groupings in Storage System Accesses. - Avani Wildani; Ethan L. Miller (ACM Trans. Storage, 2016)

Mithril: mining sporadic associations for cache prefetching. - Juncheng Yang; Reza Karimi; Trausti Sæmundsson; Avani Wildani; Ymir Vigfusson (SoCC, 2017)

Snapshot Judgements: Obtaining Data Insights without Tracing. - Wenxuan Wang; Ian F. Adams; Avani Wildani (HotStorage, 2017)

Fighting for a Niche: An Evolutionary Model of Storage. - Avani Wildani (HotStorage, 2017)

Autonomic Partitioning for the Smart Control of Wireless Mesh Networks. - Sergio Gramacho; Felipe Gramacho; Avani Wildani (WiMob, 2019)

Position: Can Microservices Drive a Renaissance in Workload-Aware Storage Management? - Pranav Bhandari; Avani Wildani; Dimitris Skourtis; Vasily Tarasov; Deepavali Bhagwat; Lukas Rupprecht; Ali Anwar 001 (HotStorage, 2020)

Desperately Seeking ... Optimal Multi-Tier Cache Configurations. - Tyler Estro; Pranav Bhandari; Avani Wildani; Erez Zadok (HotStorage, 2020)

Autonomic Formation of Large-Scale Wireless Mesh Networks. - Sergio Gramacho; Felipe Gramacho; Avani Wildani (NetSoft, 2020)

ISTRBoost: Importance Sampling Transfer Regression using Boosting. - Shrey Gupta; Jianzhao Bi; Yang Liu 037; Avani Wildani (CoRR, 2022)

[SoK] Identifying Mismatches Between Microservice Testbeds and Industrial Perceptions of Microservices. - Vishwanath Seshagiri; Darby Huye; Lan Liu; Avani Wildani; Raja R. Sambasivan (J. Syst. Res., 2022)

Few-shot HPC application runtime prediction. - Si Chen 004; Simon Garcia De Gonzalo; Avani Wildani (CLUSTER Workshops, 2023)

Persistent Memory Research in the Post-Optane Era. - Peter Desnoyers; Ian F. Adams; Tyler Estro; Anshul Gandhi; Geoff Kuenning; Michael P. Mesnier; Carl A. Waldspurger; Avani Wildani; Erez Zadok (DIMES@SOSP, 2023)

Guiding Simulations of Multi-Tier Storage Caches Using Knee Detection. - Tyler Estro; Mário Antunes 001; Pranav Bhandari; Anshul Gandhi; Geoff Kuenning; Yifei Liu; Carl A. Waldspurger; Avani Wildani; Erez Zadok (MASCOTS, 2023)

Portunus: Re-imagining Access Control in Distributed Systems. - Watson Ladd; Tanya Verma; Marloes Venema; Armando Faz-Hernández; Brendan McMillion; Avani Wildani; Nick Sullivan (USENIX ATC, 2023)

Paradise: Real-Time, Generalized, and Distributed Provenance-Based Intrusion Detection. - Yafeng Wu; Yulai Xie; Xuelong Liao; Pan Zhou 001; Dan Feng 001; Lin Wu; Xuan Li; Avani Wildani; Darrell D. E. Long (IEEE Trans. Dependable Secur. Comput., 2023)

Rethinking the Networking Stack for Serverless Environments: A Sidecar Approach. - Vishwanath Seshagiri; Abhinav Gupta; Vahab Jabrayilov; Avani Wildani; Kostis Kaffes (SoCC, 2024)

Accurate Generation of I/O Workloads Using Generative Adversarial Networks. - Heyu Zhang; Zhen Yang; Yulai Xie; Yafeng Wu; Jiakun Li; Dan Feng 001; Avani Wildani; Darrell D. E. Long (NAS, 2024)

PreSight: A Vision for an Instantaneous Web. - Isaac Khor; Suleman Ahmad; Avani Wildani (PACMI@SOSP, 2024)

Spatial Transfer Learning for Estimating PM2.5 in Data-Poor Regions. - Shrey Gupta; Yongbee Park; Jianzhao Bi; Suyash Gupta 001; Andreas Züfle; Avani Wildani; Yang Liu 037 (ECML/PKDD (9), 2024)

Transfer Learning via Latent Dependency Factor for Estimating PM 2.5. - Shrey Gupta; Yongbee Park; Jianzhao Bi; Suyash Gupta 001; Andreas Züfle; Avani Wildani; Yang Liu 037 (CoRR, 2024)

Chatting with Logs: An exploratory study on Finetuning LLMs for LogQL. - Vishwanath Seshagiri; Siddharth Balyan; Vaastav Anand; Kaustubh D. Dhole; Ishan Sharma; Avani Wildani; José Cambronero; Andreas Züfle (CoRR, 2024)

Accelerating multi-tier storage cache simulations using knee detection. - Tyler Estro; Mário Antunes 001; Pranav Bhandari; Anshul Gandhi; Geoff Kuenning; Yifei Liu; Carl A. Waldspurger; Avani Wildani; Erez Zadok (Perform. Evaluation, 2024)

MetaCast: Generalizing HPC Application Runtime Prediction. - Si Chen 004; Simon Garcia De Gonzalo; Avani Wildani (IPDPS (Workshops), 2025)

Efficient intrusion detection via heterogeneous graph attention networks and parallel provenance analysis. - Lin Wu; Yulai Xie; Shixun Zhao; Pan Zhou 001; Dan Feng 001; Avani Wildani; Yafeng Wu (Comput. Networks, 2025)

Kneeliverse: A universal knee-detection library for performance curves. - Mário Antunes 001; Tyler Estro; Pranav Bhandari; Anshul Gandhi; Geoff Kuenning; Yifei Liu; Carl A. Waldspurger; Avani Wildani; Erez Zadok (SoftwareX, 2025)

Host-guided data placement: whose job is it anyway? - Devashish R. Purandare; Peter Alvaro; Avani Wildani; Darrell D. E. Long; Ethan L. Miller (CoRR, 2025)

Boosting for regression transfer via importance sampling. - Shrey Gupta; Jianzhao Bi; Yang Liu 037; Avani Wildani (Int. J. Data Sci. Anal., 2025)