Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
In this paper we introduce a new task model that is specifically targeted towards representing stream processing applications. Examples of such applications are those involved in...
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Recently, a number of researchers have started to investigate new video-on-demand (VoD) architectures using batching, patching and periodic broadcasting. These architectures, comp...
Abstract- Processing streaming media comprisesseveral program phases (often distinct) that are periodic and independent of application data. In this paper we characterize execution...