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Conference Paper Guess Who’s Back: Comeback Interval based Multi-tier Memory Management
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Authors
Yeonjeong Jeong, Taehoon Kim, Jihye Lee, Eunji Pak, Kwangwon Koh, Changdae Kim
Issue Date
2025-10
Citation
Asia-Pacific Workshop on Systems (APSys) 2025, pp.68-74
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1145/3725783.3764391
Abstract
Memory disaggregation decouples memory from compute nodes, enabling flexible and scalable memory provisioning beyond the physical limits of single servers. With the rapid evolution of hardware technologies, future systems are expected to adopt multi-tier remote memories with diverse performance characteristics. However, most existing studies focus only on two-tier designs, leaving heterogeneous hierarchies underexplored. This paper presents a lightweight, scalable memory management technique for multi-tier disaggregated memory systems. Central to our approach is the comeback interval, defined as the time between a page’s eviction to remote memory and its subsequent re-access. By maintaining a histogram of comeback intervals, the system estimates ranking of page hotness without sorting or synchronization, and then places pages across tiers based on access patterns. To enhance adaptability, we introduce an aggressive placement policy and a rebalancing mechanism for runtime promotion and demotion. We implement our design on a real disaggregated system with RDMA-based remote DRAM and NVMe SSD. Our results show that even when fast remote memory is reduced to 25%, our system achieves performance comparable to configurations using only fast memory, demonstrating its efficiency and robustness.
KSP Keywords
Access pattern, Its efficiency, Memory System, Memory management, Multi-tier, Placement policy, Re-access, Remote Memory, memory disaggregation, performance characteristics, physical limits
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
CC BY