Ran Xu

TL;DR: Pythia is presented, a co-location manager that can precisely predict the combined contention on shared resources when multiple co-located workloads interfere with an LS workload.

TL;DR: ApproxDet is introduced, an adaptive video object detection framework for mobile devices to meet accuracy-latency requirements in the face of changing content and resource contention scenarios and is able to adapt to a wide variety of contention and content characteristics and outshines all baselines.

TL;DR: VARICHEF is the first system to show that canary inputs can be used for complex streaming applications, and an accurate error mapping from the approximate processing with downsampled inputs to that with full inputs and a directed search that balances the cost of each search step with the estimated reduction in the run time.

TL;DR: In this paper, the authors discuss the unique challenges for reliability, security, and privacy posed by IoT systems due to their salient characteristics which include heterogeneity of devices and protocols, dependence on the physical environment, and the close coupling with humans.

TL;DR: ApproxNet is introduced, a video analytics system for the edge that enables novel dynamic approximation techniques to achieve desired inference latency and accuracy trade-off under different system conditions and resource contentions, variations in the complexity of the video contents and user requirements.