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CONCURRENCY
2004
77views more  CONCURRENCY 2004»
14 years 11 months ago
Grids of agents for computer and telecommunication network management
The centralized system approach for computer and telecommunication network management has been presenting scalability problems along with the growth in the number and diversity of...
Marcos Dias de Assunção, Fernando Lu...
118
Voted
SC
2009
ACM
15 years 6 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas
110
Voted
ICS
2010
Tsinghua U.
15 years 2 months ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
ITIIS
2010
129views more  ITIIS 2010»
14 years 6 months ago
Encryption Scheme for MPEG-4 Media Transmission Exploiting Frame Dropping
Depending on network conditions, a communication network could be overloaded when media are transmitted. Research has been carried out to lessen network overloading, such as by fi...
Dongkyoo Shin, Dongil Shin, Jaewan Shin, Soohan Ki...
SIGMOD
2010
ACM
377views Database» more  SIGMOD 2010»
15 years 4 months ago
Online aggregation and continuous query support in MapReduce
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, the output of each MapReduce task and job is materialized to ...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....