English

Cascade: A Platform for Delay-Sensitive Edge Intelligence

Operating Systems 2023-11-30 v1 Artificial Intelligence

Abstract

Interactive intelligent computing applications are increasingly prevalent, creating a need for AI/ML platforms optimized to reduce per-event latency while maintaining high throughput and efficient resource management. Yet many intelligent applications run on AI/ML platforms that optimize for high throughput even at the cost of high tail-latency. Cascade is a new AI/ML hosting platform intended to untangle this puzzle. Innovations include a legacy-friendly storage layer that moves data with minimal copying and a "fast path" that collocates data and computation to maximize responsiveness. Our evaluation shows that Cascade reduces latency by orders of magnitude with no loss of throughput.

Keywords

Cite

@article{arxiv.2311.17329,
  title  = {Cascade: A Platform for Delay-Sensitive Edge Intelligence},
  author = {Weijia Song and Thiago Garrett and Yuting Yang and Mingzhao Liu and Edward Tremel and Lorenzo Rosa and Andrea Merlina and Roman Vitenberg and Ken Birman},
  journal= {arXiv preprint arXiv:2311.17329},
  year   = {2023}
}

Comments

14 pages, 12 Figures

R2 v1 2026-06-28T13:34:55.846Z