mLSM: Making Authenticated Storage Faster in Ethereum

Authors: 

Pandian Raju, Soujanya Ponnapalli, Evan Kaminsky, Gilad Oved, and Zachary Keener, University of Texas at Austin; Vijay Chidambaram, University of Texas at Austin and VMware Research; Ittai Abraham, VMware Research

Abstract: 

Ethereum provides authenticated storage: each read returns a value and a proof that allows the client to verify the value returned is correct. We experimentally show that such authentication leads to high read and write amplification (64x in the worst case). We present a novel data structure, Merkelized LSM (mLSM), that significantly reduces the read and write amplification while still allowing client verification of reads. mLSM significantly increases the performance of the storage subsystem in Ethereum, thereby increasing the performance of a wide range of Ethereum applications.

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

BibTeX
@inproceedings {216872,
author = {Pandian Raju and Soujanya Ponnapalli and Evan Kaminsky and Gilad Oved and Zachary Keener and Vijay Chidambaram and Ittai Abraham},
title = {mLSM: Making Authenticated Storage Faster in Ethereum},
booktitle = {10th {USENIX} Workshop on Hot Topics in Storage and File Systems (HotStorage 18)},
year = {2018},
address = {Boston, MA},
url = {https://www.usenix.org/conference/hotstorage18/presentation/raju},
publisher = {{USENIX} Association},
month = jul,
}