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» Schedule optimization for data processing flows on the cloud
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222
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ICDE
2006
IEEE
148views Database» more  ICDE 2006»
16 years 4 months ago
Unifying the Processing of XML Streams and Relational Data Streams
Relational data streams and XML streams have previously provided two separate research foci, but their unified support by a single Data Stream Management System (DSMS) is very des...
Xin Zhou, Hetal Thakkar, Carlo Zaniolo
128
Voted
DAWAK
2006
Springer
15 years 6 months ago
A Greedy Approach to Concurrent Processing of Frequent Itemset Queries
We consider the problem of concurrent execution of multiple frequent itemset queries. If such data mining queries operate on overlapping parts of the database, then their overall I...
Pawel Boinski, Marek Wojciechowski, Maciej Zakrzew...
126
Voted
CHI
2007
ACM
16 years 3 months ago
An observational study on information flow during nurses' shift change
We present an observational study that was conducted to guide the design and development of technologies to support information flow during nurses' shift change in a hospital...
Charlotte Tang, M. Sheelagh T. Carpendale
142
Voted
FGCS
2007
78views more  FGCS 2007»
15 years 2 months ago
Promoting performance and separation of concerns for data mining applications on the grid
Grid Computing brought the promise of making high-performance computing cheaper and more easily available than traditional supercomputing platforms. Such a promise was very well r...
Vasco Furtado, Francisco Flávio de Souza, W...
132
Voted
CCGRID
2009
IEEE
15 years 13 days ago
Block-Based Concurrent and Storage-Aware Data Streaming for Grid Applications with Lots of Small Files
Data streaming management and scheduling is required by many grid computing applications, especially when the volume of data to be processed is extremely high while available stor...
Wen Zhang, Junwei Cao, Yisheng Zhong, Lianchen Liu...