Abstract. Aggregation is an important building block of modern distributed applications, allowing the determination of meaningful properties (e.g. network size, total storage capac...
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
As the Internet and enterprise wide distributed systems become more prevalent in business IT systems, numerous advanced COTS (commercial off-the-shelf) middleware technologies hav...
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
Supporting continuous sensing applications on mobile phones is challenging because of the resource demands of long-term sensing, inference and communication algorithms. We present...
Hong Lu, Jun Yang, Zhigang Liu, Nicholas D. Lane, ...