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» Google's MapReduce programming model - Revisited
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CLOUDCOM
2010
Springer
13 years 5 months ago
Applying Twister to Scientific Applications
Many scientific applications suffer from the lack of a unified approach to support the management and efficient processing of large-scale data. The Twister MapReduce Framework, whi...
Bingjing Zhang, Yang Ruan, Tak-Lon Wu, Judy Qiu, A...
SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
14 years 7 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...
CCS
2008
ACM
13 years 9 months ago
Formal analysis of SAML 2.0 web browser single sign-on: breaking the SAML-based single sign-on for google apps
Single-Sign-On (SSO) protocols enable companies to establish a federated environment in which clients sign in the system once and yet are able to access to services offered by dif...
Alessandro Armando, Roberto Carbone, Luca Compagna...
SIGMOD
2010
ACM
255views Database» more  SIGMOD 2010»
14 years 10 days ago
Large graph processing in the cloud
As the study of graphs, such as web and social graphs, becomes increasingly popular, the requirements of efficiency and programming flexibility of large graph processing tasks c...
Rishan Chen, Xuetian Weng, Bingsheng He, Mao Yang
POPL
1989
ACM
13 years 11 months ago
How to Make ad-hoc Polymorphism Less ad-hoc
raction that a programming language provides influences the structure and algorithmic complexity of the resulting programs: just imagine creating an artificial intelligence engine ...
Philip Wadler, Stephen Blott