CISIS
2009
IEEE
13 years 8 months ago
2009
IEEE
The volume of stream data delivered from different information sources is increasing. There are a variety of demands to utilize such stream data for applications. Stream processin...
IJWIS
2007
13 years 10 months ago
2007
Streams of data often originate from many distributed sources. A distributed stream processing system publishes such streams of data and enables queries over the streams. This allo...
GRID
2006
Springer
13 years 10 months ago
2006
Springer
The use of real-time data streams in data-driven computational science is driving the need for stream processing tools that work within the architectural framework of the larger ap...
DAWAK
2010
Springer
13 years 12 months ago
2010
Springer
: Experience in Extending Query Engine for Continuous Analytics Qiming Chen, Meichun Hsu HP Laboratories HPL-2010-44 In-Database Stream Processing Combining data warehousing and s...
SNPD
2003
14 years 6 days ago
2003
Specific requirements of stream processing on the Grid are discussed. We argue that when the stream processing paradigm is used for cluster computing, the processing components c...
AIPS
2006
14 years 7 days ago
2006
Recently the problem of automatic composition of workflows has been receiving increasing interest. Initial investigation has shown that designing a practical and scalable composit...
OWLED
2007
14 years 8 days ago
2007
Stream Processing Applications analyze large volumes of streaming data in real-time. These applications, consist of data sources, which produce raw streams, and processing elements...
PLANX
2008
14 years 8 days ago
2008
Motivated by previous work on XML stream processing, we noticed that programmers need concurrency to save space, especially in a lazy language. User-controllable concurrency provi...
DAGSTUHL
2007
14 years 9 days ago
2007
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...
ESWS
2008
Springer
14 years 18 days ago
2008
Springer
A lot of work has been done in the area of data stream processing. Most of the previous approaches regard only relational or XML based streams but do not cover semantically richer ...