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SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
16 years 6 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
ICDCS
2009
IEEE
16 years 3 months ago
Distributed Processing of Spatial Alarms: A Safe Region-Based Approach
Spatial alarms are considered as one of the basic capabilities in future mobile computing systems for enabling personalization of location-based services. In this paper, we propos...
Bhuvan Bamba, Ling Liu, Arun Iyengar, Philip S. Yu
VLDB
2005
ACM
93views Database» more  VLDB 2005»
15 years 12 months ago
Revisiting Pipelined Parallelism in Multi-Join Query Processing
Multi-join queries are the core of any integration service that integrates data from multiple distributed data sources. Due to the large number of data sources and possibly high v...
Bin Liu, Elke A. Rundensteiner
HICSS
1999
IEEE
178views Biometrics» more  HICSS 1999»
15 years 10 months ago
Collaborative Web Crawling: Information Gathering/Processing over Internet
The main objective of the IBM Grand Central Station (GCS) is to gather information of virtually any type of formats (text, data, image, graphics, audio, video) from the cyberspace...
Shang-Hua Teng, Qi Lu, Matthias Eichstaedt, Daniel...
DAC
2005
ACM
15 years 8 months ago
Mapping statistical process variations toward circuit performance variability: an analytical modeling approach
A physical yet compact gate delay model is developed integrating short-channel effects and the Alpha-power law based timing model. This analytical approach accurately predicts bot...
Yu Cao, Lawrence T. Clark