Need for a Deeper Cross-Layer Optimization for Dense NAND SSD to Improve Read Performance of Big Data Applications: A Case for Melded Pages

Authors: 

Arpith K and K. Gopinath, Indian Institute of Science, Bangalore

Abstract: 

In the case of dense NAND flash such as TLC, the LSB, CSB and MSB pages in a wordline can be combined to form a larger logical page called melded-page. In this paper, we propose melding TLC/QLC pages to improve the performance of SSD by mitigating the overheads involved in the read operation. Melded-pages are read in their entirety. The controller schedules the write requests in such a way that, during reads later, requests for data present in LSB, CSB and MSB pages are guaranteed to be present in the request queue. This method works reliably when the workload performs its read operations in large chunks or has a predictable I/O pattern. We obtain performance improvements of up to 45% on workloads that use large block sizes such as the Hadoop Distributed File System (HDFS). Big data solutions that exhibit such read patterns can vastly benefit from melding pages.

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 {254304,
author = {Arpith K and K. Gopinath},
title = {Need for a Deeper {Cross-Layer} Optimization for Dense {NAND} {SSD} to Improve Read Performance of Big Data Applications: A Case for Melded Pages},
booktitle = {12th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 20)},
year = {2020},
url = {https://www.usenix.org/conference/hotstorage20/presentation/k},
publisher = {USENIX Association},
month = jul,
}

Presentation Video