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2009
ACM
15 years 11 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
137
Voted
HPDC
2006
IEEE
15 years 10 months ago
ALPS: An Application-Level Proportional-Share Scheduler
ALPS is a per-application user-level proportional-share scheduler that operates with low overhead and without any special kernel support. ALPS is useful to a range of applications...
Travis Newhouse, Joseph Pasquale
IPPS
2005
IEEE
15 years 10 months ago
QoS Aware Job Scheduling in a Cluster-Based Web Server for Multimedia Applications
We propose a cluster-based web server where a few computing nodes are separately reserved for high-performance computing applications, such as multimedia, SSL, and CGI. As an exam...
Jiani Guo, Laxmi N. Bhuyan, Raj Kumar, Sujoy Basu
CCGRID
2010
IEEE
15 years 5 months ago
A Fair Decentralized Scheduler for Bag-of-Tasks Applications on Desktop Grids
Desktop Grids have become very popular nowadays, with projects that include hundred of thousands computers. Desktop grid scheduling faces two challenges. First, the platform is vo...
Javier Celaya, Loris Marchal
162
Voted
IPPS
2010
IEEE
15 years 2 months ago
PreDatA - preparatory data analytics on peta-scale machines
Peta-scale scientific applications running on High End Computing (HEC) platforms can generate large volumes of data. For high performance storage and in order to be useful to scien...
Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lo...