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KDD
2003
ACM
192views Data Mining» more  KDD 2003»
14 years 10 months ago
Efficient elastic burst detection in data streams
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...
Yunyue Zhu, Dennis Shasha
DATE
2005
IEEE
167views Hardware» more  DATE 2005»
14 years 3 months ago
A New Task Model for Streaming Applications and Its Schedulability Analysis
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...
Samarjit Chakraborty, Lothar Thiele
IDA
2002
Springer
13 years 9 months ago
Online classification of nonstationary data streams
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...
Mark Last
ASAP
2003
IEEE
114views Hardware» more  ASAP 2003»
14 years 3 months ago
An Efficient Disk-Array-Based Server Design for a Multicast Video Streaming System
Recently, a number of researchers have started to investigate new video-on-demand (VoD) architectures using batching, patching and periodic broadcasting. These architectures, comp...
P. H. Chan Patton, Jack Y. B. Lee
ASPDAC
2004
ACM
80views Hardware» more  ASPDAC 2004»
14 years 3 months ago
Exploiting program execution phases to trade power and performance for media workload
Abstract- Processing streaming media comprisesseveral program phases (often distinct) that are periodic and independent of application data. In this paper we characterize execution...
Subhasis Banerjee, G. Surendra, S. K. Nandy