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EUROSYS
2011
ACM
12 years 10 months ago
Scarlett: coping with skewed content popularity in mapreduce clusters
To improve data availability and resilience MapReduce frameworks use file systems that replicate data uniformly. However, analysis of job logs from a large production cluster show...
Ganesh Ananthanarayanan, Sameer Agarwal, Srikanth ...
JPDC
2011
219views more  JPDC 2011»
13 years 1 months ago
BlobSeer: Next-generation data management for large scale infrastructures
As data volumes increase at a high speed in more and more application fields of science, engineering, information services, etc., the challenges posed by data-intensive computing...
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé,...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 7 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
SIGMOD
2012
ACM
288views Database» more  SIGMOD 2012»
11 years 9 months ago
Exploiting MapReduce-based similarity joins
Cloud enabled systems have become a crucial component to efficiently process and analyze massive amounts of data. One of the key data processing and analysis operations is the Sim...
Yasin N. Silva, Jason M. Reed
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 23 days ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth