[2311.17329] Cascade: A Platform for Delay-Sensitive Edge Intelligence
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Computer Science > Operating Systems

arXiv:2311.17329 (cs)
[Submitted on 29 Nov 2023]

Title:Cascade: A Platform for Delay-Sensitive Edge Intelligence

Authors:Weijia Song, Thiago Garrett, Yuting Yang, Mingzhao Liu, Edward Tremel, Lorenzo Rosa, Andrea Merlina, Roman Vitenberg, Ken Birman
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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.
Comments: 14 pages, 12 Figures
Subjects: Operating Systems (cs.OS); Artificial Intelligence (cs.AI)
Cite as: arXiv:2311.17329 [cs.OS]
  (or arXiv:2311.17329v1 [cs.OS] for this version)
  https://doi.org/10.48550/arXiv.2311.17329

Submission history

From: Weijia Song [view email]
[v1] Wed, 29 Nov 2023 03:03:21 UTC (832 KB)
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