We consider applying computer vision to video on cloud-backed mobile devices using Deep
Neural Networks (DNNs). The computational demands of DNNs are high enough that …

It is widely held that debugging cyber-physical systems (CPS) is challenging, to date,
empirical studies investigating research challenges in CPS verification and validation have …

Mobile systems, such as smartphones and tablets, incorporate a diverse set of I/O devices,
such as camera, audio devices, GPU, and sensors. This in turn results in a large number of …

Logging has been a common practice for monitoring and diagnosing performance issues.
However, logging comes at a cost, especially for large-scale online service systems. First …

At their core, many time series data mining algorithms can be reduced to reasoning about
the shapes of time series subsequences. This requires a distance measure, and most …

For mobile devices, it is compelling to run sensitive GPU computation within a TrustZone
trusted execution environment (TEE). To minimize GPU software deployed in TEE, the …

Applications are migrating en masse to the cloud, while accelerators such as GPUs, TPUs,
and FPGAs proliferate in the wake of Moore's Law. These trends are in conflict: cloud …

Size and weight constraints on wearables limit their battery capacity and restrict them from
providing rich functionality. The need for durable and secure storage for personal data …

The growing trend of multi-device ownerships creates a need and an opportunity to use
applications across multiple devices. However, in general, the current app development and …

In recent years, the explosion of diverse smart devices such as mobile phones, TVs,
watches, and even cars, has completely changed our lives. We communicate with friends …