Yan Li

Orcid: 0000-0002-9746-6274

Affiliations:
  • TuneUp.ai, San Francisco, CA, USA
  • University of California, Santa Cruz, School of Engineering, Storage Systems Research Center, CA, USA (PhD 2017)


According to our database1, Yan Li authored at least 11 papers between 2012 and 2020.

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Timeline

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Bibliography

2020
Pagoda: A Hybrid Approach to Enable Efficient Real-Time Provenance Based Intrusion Detection in Big Data Environments.
IEEE Trans. Dependable Secur. Comput., 2020

2017
ASCAR: Fully Automatic Storage Contention Management System.
PhD thesis, 2017

CAPES: unsupervised storage performance tuning using neural network-based deep reinforcement learning.
Proceedings of the International Conference for High Performance Computing, 2017

2016
Oasis: An active storage framework for object storage platform.
Future Gener. Comput. Syst., 2016

Pilot: A Framework that Understands How to Do Performance Benchmarks the Right Way.
Proceedings of the 24th IEEE International Symposium on Modeling, 2016

2015
ASCAR: Automating contention management for high-performance storage systems.
Proceedings of the IEEE 31st Symposium on Mass Storage Systems and Technologies, 2015

2014
Which Storage Device Is the Greenest? Modeling the Energy Cost of I/O Workloads.
Proceedings of the IEEE 22nd International Symposium on Modelling, 2014

2013
Evaluation of a Hybrid Approach for Efficient Provenance Storage.
ACM Trans. Storage, 2013

Horus: fine-grained encryption-based security for large-scale storage.
Proceedings of the 11th USENIX conference on File and Storage Technologies, 2013

2012
Understanding data survivability in archival storage systems.
Proceedings of the 5th Annual International Systems and Storage Conference, 2012

A hybrid approach for efficient provenance storage.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012


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