Modern data analytics frameworks often integrate with external storage services, which can lead to storage bottlenecks. Existing caching and prefetching solutions utilize high-level information from data analytics frameworks to forecast future ...

• A coordinated scheduling and caching system for modern analytics frameworks.
• A cache-driven scheduling algorithm to enable more effective caching.
• A scheduling-aware caching strategy to best utilize the cache-driven execution.
• ...

Road pothole detection is significant for road maintenance which has been widely solved based on computer vision models in recent years. However, the accuracy of the pothole detection is still far from satisfactory and has the potential to be increased. ...

Modern data analytics services are coupled with external data storage services, making I/O from remote cloud storage one of the dominant costs for query processing. Techniques such as columnar block-based data organization and compression have become ...

Metaverse encapsulates our expectations of the next-generation Internet, while bringing new key performance indicators (KPIs). Although conventional ultra-reliable and low-latency communications (URLLC) can satisfy objective KPIs, it is difficult to ...

For retinal image matching (RIM), we propose SuperRetina, the first end-to-end method with jointly trainable keypoint detector and descriptor. SuperRetina is trained in a novel semi-supervised manner. A small set of (nearly 100) images are ...

Deep learning-based finger vein recognition (FVR) can be classified as either a closed-set architecture (CS-architecture) or an open-set architecture (OS-architecture) based on the system output. The CS-architecture has limited practicality due to ...