NetCAS: Dynamic Cache and Backend Device Management in Networked Environments
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866908974646820864 |
|---|---|
| author | Hwang, Joon Yong Park, Chanseo Kim, Younghoon |
| author_facet | Hwang, Joon Yong Park, Chanseo Kim, Younghoon |
| contents | Modern storage systems often combine fast cache with slower backend devices to accelerate I/O. As performance gaps narrow, concurrently accessing both devices, rather than relying solely on cache hits, can improve throughput. However, in data centers, remote backend storage accessed over networks suffers from unpredictable contention, complicating this split. We present NetCAS, a framework that dynamically splits I/O between cache and backend devices based on real-time network feedback and a precomputed Perf Profile. Unlike traditional hit-rate-based policies, NetCAS adapts split ratios to workload configuration and networking performance. NetCAS employs a low-overhead batched round-robin scheduler to enforce splits, avoiding per-request costs. It achieves up to 174% higher performance than traditional caching in remote storage environments and outperforms converging schemes like Orthus by up to 3.5X under fluctuating network conditions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_02323 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | NetCAS: Dynamic Cache and Backend Device Management in Networked Environments Hwang, Joon Yong Park, Chanseo Kim, Younghoon Operating Systems Networking and Internet Architecture Performance D.4.2; D.4.8; C.2.1; C.2.4 Modern storage systems often combine fast cache with slower backend devices to accelerate I/O. As performance gaps narrow, concurrently accessing both devices, rather than relying solely on cache hits, can improve throughput. However, in data centers, remote backend storage accessed over networks suffers from unpredictable contention, complicating this split. We present NetCAS, a framework that dynamically splits I/O between cache and backend devices based on real-time network feedback and a precomputed Perf Profile. Unlike traditional hit-rate-based policies, NetCAS adapts split ratios to workload configuration and networking performance. NetCAS employs a low-overhead batched round-robin scheduler to enforce splits, avoiding per-request costs. It achieves up to 174% higher performance than traditional caching in remote storage environments and outperforms converging schemes like Orthus by up to 3.5X under fluctuating network conditions. |
| title | NetCAS: Dynamic Cache and Backend Device Management in Networked Environments |
| topic | Operating Systems Networking and Internet Architecture Performance D.4.2; D.4.8; C.2.1; C.2.4 |
| url | https://arxiv.org/abs/2510.02323 |