Presentation
EDDE: Container Deployment Framework Beyond the Cloud
DescriptionExisting cloud-oriented container deployment frameworks fail to address the unique challenges of edge environments, including geographic distribution, device heterogeneity, and resource constraints. This leads to suboptimal performance for latency-sensitive edge services like HPC/AI-powered autonomous driving, which demand rapid startup and immediate responsiveness.
Current on-demand image solutions require excessive client-registry communication, resulting in prolonged round-trip time (RTT)—a particularly severe limitation in geographically distributed edge platforms. Furthermore, the user-space file system (FUSE), typically employed to handle device heterogeneity, introduces substantial overhead to the native I/O stack. Our findings reveal that on-demand image solutions exacerbate storage pressure on resource-constrained edge devices. To overcome these challenges, we introduce EDDE, an edge-optimized container deployment framework that redesigns the on-demand image pipeline. When compared to state-of-the-art on-demand solutions, EDDE delivers containers 147% faster on average, reduces native I/O latency by up to 28%, and decreases storage usage by an average of 34%.
Current on-demand image solutions require excessive client-registry communication, resulting in prolonged round-trip time (RTT)—a particularly severe limitation in geographically distributed edge platforms. Furthermore, the user-space file system (FUSE), typically employed to handle device heterogeneity, introduces substantial overhead to the native I/O stack. Our findings reveal that on-demand image solutions exacerbate storage pressure on resource-constrained edge devices. To overcome these challenges, we introduce EDDE, an edge-optimized container deployment framework that redesigns the on-demand image pipeline. When compared to state-of-the-art on-demand solutions, EDDE delivers containers 147% faster on average, reduces native I/O latency by up to 28%, and decreases storage usage by an average of 34%.
Event Type
Paper
TimeTuesday, 18 November 20254:15pm - 4:37pm CST
Location275
BP
System Software and Cloud Computing