This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
Recent technological advances have produced network interfaces that provide users with very low-latency access to the memory of remote machines. We examine the impact of such netw...
Leonidas I. Kontothanassis, Galen C. Hunt, Robert ...
Ever-increasing complexity of large-scale applications and continuous increases in sizes of the data they process make the problem of maximizing performance of such applications a...
Mahmut T. Kandemir, Seung Woo Son, Mustafa Karak&o...
Abstract—This paper introduces a knowledge-driven approach to real-time, continuous activity recognition based on multisensor data streams in smart homes. The approach goes beyon...
Cutting-edge applications of future embedded systems demand highest processor performance with low power consumption to get acceptable battery-life times. Therefore, low power opt...
Anupam Chattopadhyay, B. Geukes, David Kammler, Er...