Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...
To enable smart environments and self-tuning data centers, we are developing the Aspen system for integrating physical sensor data, as well as stream data coming from machine logi...
Svilen R. Mihaylov, Marie Jacob, Zachary G. Ives, ...
Understanding and managing the response time of web services is of key importance as dependence on the World Wide Web continues to grow. We present Remote Latency-based Management...
Sensor webs are heterogeneous collections of sensor devices that collect information and interact with the environment. They consist of wireless sensor networks that are ensembles ...
Isaac Amundson, Manish Kushwaha, Xenofon D. Koutso...
Current data management solutions are largely optimized for intra-enterprise, client-server applications. They depend on predictability, predefined structure, and universal admini...
Brian F. Cooper, Neal Sample, Michael J. Franklin,...