Cascade: A Platform for Delay-Sensitive Edge Intelligence
Weijia Song
Thiago Garrett
Yuting Yang
Mingzhao Liu
E. Tremel
Lorenzo Rosa
Andrea Merlina
Roman Vitenberg
Ken Birman

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.
View on arXivComments on this paper