ObjecTier: Non-Invasively Boosting Memory Tiering Performance
Name
3680256.3721319.pdf
Size
1.49 MB
Format
Adobe PDF
Checksum (MD5)
b0367c66ee0a4e4c8440a09b1e782cdc
Author(s) • •
Pawar, Vinita
Bhardwaj, Ankit
Stutsman, Ryan
Date Issued
May 5, 2025
Publisher
ACM|Companion of the 16th ACM/SPEC International Conference on Performance Engineering
Citation
Vinita Pawar, Ankit Bhardwaj, and Ryan Stutsman. 2025. ObjecTier: Non-Invasively Boosting Memory Tiering Performance. In Companion of the 16th ACM/SPEC International Conference on Performance Engineering (ICPE '25). Association for Computing Machinery, New York, NY, USA, 180–186.
Version
Final published version
Abstract
Recent research has developed page-based memory-tiering systems that place hot pages in fast tiers and cold pages in slower, more capacious tiers. However, applications place many objects together within pages, and most pages contain some objects that are hot and some that are cold. Our simulations of a key-value workload confirm this; even the hottest pages in the fast tier can contain 50% cold data.
To improve fast tier utilization, we describe the design of a new framework, ObjecTier, that uses application knowledge to efficiently consolidate hot data and cold data. This allows ObjecTier-enabled applications to boost fast tier hit rates and improve performance regardless of which underlying memory tiering system they use underneath, even if that system is page based.
With simulations, we show that ObjecTier may improve average memory access time (AMAT) by 2× without adding any memory space overhead for our simulated key-value store workload. We conclude by outlining the next steps to make the ObjecTier framework a reality for easy adaptation of applications like key-value stores and other indexed databases.
Description
ICPE Companion ’25, Toronto, ON, Canada
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3680256.3721319