~/talk

Espresso: Constructing Cost-Efficient CXL JBOF via Inter-SSD Computing Resource Sharing

name:Shushu Yi
links:none on file
name:Yuda An
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name:Li Peng
links:none on file
links:none on file
name:Qiao Li
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links:none on file
links:none on file
name:Wenfei Wu
links:none on file
linkedin:chenxiwang88
name:Diyu Zhou
links:none on file
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links:none on file
links:none on file
name:Ke Zhou
links:none on file
name:Jie Zhang
links:none on file
slides:none on file

Espresso builds a JBOF that disaggregates SSDs into disaggregated compute/data ends and uses the cache-coherent CXL fabric to harvest idle onboard ARM cores and DRAM from other drives for metadata processing and mapping-table caching. It requires a minor NVMe-driver tweak to redirect queues, implements decentralized resource monitors/managers and DMA coordination, and is evaluated end-to-end: +50.4% SSD resource utilization, ≈19% monetary cost reduction, 38–41% throughput wins versus alternatives while matching performance with roughly half the per-SSD compute.

AI-written summary · about

  1. 0:00Espresso and storage challenges
  2. 3:13Cost-efficient SSD with resource sharing
  3. 6:07CXL for fine-grained sharing
  4. 8:39Espresso workflow and init
  5. 10:06Disaggregated SSD architecture
  6. 12:41Processor harvesting via NVMe redirection
  7. 13:46DRAM harvesting and consistency
  8. 14:06Validation results and performance
  9. 15:50Cost efficiency and workload benefits
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