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Application-Oriented Data Migration to Accelerate In-Memory Database on Hybrid Memory.

Wenze Zhao1, Yajuan Du1,2, Mingzhe Zhang3

  • 1School of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China.

Micromachines
|January 21, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces Application-oriented Data Migration (ADM) to optimize in-memory databases on hybrid memory systems. ADM enhances performance and reduces energy consumption by intelligently managing data placement in High Bandwidth Memory (HBM).

Keywords:
data migrationhybrid memoryin-memory database

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Area of Science:

  • Computer Science
  • Data Management
  • Hardware Architecture

Background:

  • In-memory databases like Redis offer faster data access than traditional disks.
  • High Bandwidth Memory (HBM) provides high bandwidth and low energy consumption but has limited capacity.
  • Hybrid memory systems combine HBM with traditional Dynamic Random Access Memory (DRAM) to balance capacity and performance.

Purpose of the Study:

  • To propose an application-level data management strategy for in-memory databases on hybrid memory architectures.
  • To accelerate in-memory database performance and reduce energy consumption by optimizing data placement.

Main Methods:

  • Analyzed the data access patterns (hotness distribution) of client requests on Redis.
  • Developed Application-oriented Data Migration (ADM), including a hotness management method and two migration policies.
  • Evaluated ADM using Redis under comprehensive benchmarks on a hybrid memory system.

Main Results:

  • Observed that a small subset of data objects receives the majority of requests in in-memory databases.
  • Demonstrated that ADM effectively improves performance compared to existing Redis configurations.
  • Verified that ADM significantly reduces energy consumption on hybrid memory systems.

Conclusions:

  • Application-aware data management is crucial for optimizing in-memory databases on hybrid memory.
  • ADM provides an effective solution for accelerating in-memory database performance and lowering energy usage.
  • The proposed method offers a practical approach for leveraging hybrid memory architectures in data centers and embedded systems.