This paper extends the methodology of analytic real-time analysis of distributed embedded systems towards merging and extracting sub-streams based on event type information. For e...
Simon Perathoner, Tobias Rein, Lothar Thiele, Kai ...
We consider pervasive computing applications that process and aggregate data-streams emanating from highly distributed data sources to produce a stream of updates that have an imp...
The speed of storing and fetching data on SCSI disks has a great restriction on the efficiency of SAN based on Fiber Channel Network. In this paper, a high-efficient FC-SAN storage...
This paper describes a low-power design methodology for a bus architecture based on hybrid current/voltage mode signaling for deep sub-micrometer on-chip interconnects that achiev...
Rizwan Bashirullah, Wentai Liu, Ralph K. Cavin III
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...