Bandwidth-Aware Memory Migration for Tiered Memory Systems 


Vol. 53,  No. 3, pp. 181-189, Mar.  2026
10.5626/JOK.2026.53.3.181


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  Abstract

The growing demand for large-capacity memory has underscored the significance of CXL-based tiered memory architectures. Traditional tiered memory management typically allocates low-utilization cold data to slower memory tiers. However, this approach can result in performance degradation when bandwidth requirements are high. To address this issue, we present Bandwidth- Aware Memory Migration (BAMM), a mechanism that continuously monitors both memory and bandwidth utilization. When bandwidth demand increases, BAMM selectively migrates data with moderate access frequencies—not just cold data—to optimize bandwidth utilization in slower memory. Experimental results demonstrate that BAMM achieves an average performance improvement of 11.22% and up to 27.11% under bandwidth-intensive workloads compared to conventional methods, while also enhancing overall system bandwidth utilization by an average of 18.29 GB/s, reaching high as 33.48 GB/s.


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  Cite this article

[IEEE Style]

S. Hwang, W. Lee, E. Lee, "Bandwidth-Aware Memory Migration for Tiered Memory Systems," Journal of KIISE, JOK, vol. 53, no. 3, pp. 181-189, 2026. DOI: 10.5626/JOK.2026.53.3.181.


[ACM Style]

Sunyoung Hwang, Wonjung Lee, and Eojin Lee. 2026. Bandwidth-Aware Memory Migration for Tiered Memory Systems. Journal of KIISE, JOK, 53, 3, (2026), 181-189. DOI: 10.5626/JOK.2026.53.3.181.


[KCI Style]

황선영, 이원정, 이어진, "계층형 메모리 시스템을 위한 대역폭 인식 메모리 마이그레이션," 한국정보과학회 논문지, 제53권, 제3호, 181~189쪽, 2026. DOI: 10.5626/JOK.2026.53.3.181.


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