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PVLDB
2008
182views more  PVLDB 2008»
13 years 7 months ago
SCOPE: easy and efficient parallel processing of massive data sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. For cost and performance reasons, pr...
Ronnie Chaiken, Bob Jenkins, Per-Åke Larson,...
ICPADS
2010
IEEE
13 years 5 months ago
Enhancing MapReduce via Asynchronous Data Processing
The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...
Marwa Elteir, Heshan Lin, Wu-chun Feng
ICTAI
2010
IEEE
13 years 5 months ago
The BioASP Library: ASP Solutions for Systems Biology
Abstract--Today's molecular biology is confronted with enormous amounts of data, generated by new high-throughput technologies, along with an increasing number of biological m...
Martin Gebser, Arne König, Torsten Schaub, Sv...
BMCBI
2010
121views more  BMCBI 2010»
13 years 5 months ago
Computing DNA duplex instability profiles efficiently with a two-state model: trends of promoters and binding sites
Background: DNA instability profiles have been used recently for predicting the transcriptional start site and the location of core promoters, and to gain insight into promoter ac...
Miriam R. Kantorovitz, Zoi Rapti, Vladimir Gelev, ...
AOSD
2011
ACM
13 years 2 months ago
Closure joinpoints: block joinpoints without surprises
Block joinpoints allow programmers to explicitly mark regions of base code as “to be advised”, thus avoiding the need to extract the block into a method just for the sake of c...
Eric Bodden