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» Scalable Resource Management in High Performance Computers
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ICAC
2006
IEEE
15 years 10 months ago
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mo...
CCGRID
2010
IEEE
15 years 2 months ago
Overdimensioning for Consistent Performance in Grids
Grid users may experience inconsistent performance due to specific characteristics of grids, such as fluctuating workloads, high failure rates, and high resource heterogeneity. Alt...
Nezih Yigitbasi, Dick H. J. Epema
154
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IPPS
2007
IEEE
15 years 11 months ago
MultiEdge: An Edge-based Communication Subsystem for Scalable Commodity Servers
At the core of contemporary high performance computer systems is the communication infrastructure. For this reason, there has been a lot of work on providing low-latency, high-ban...
Sven Karlsson, Stavros Passas, George Kotsis, Ange...
SSDBM
2005
IEEE
132views Database» more  SSDBM 2005»
15 years 10 months ago
Co-Scheduling of Computation and Data on Computer Clusters
Scientific investigations have to deal with rapidly growing amounts of data from simulations and experiments. During data analysis, scientists typically want to extract subsets o...
Alexandru Romosan, Doron Rotem, Arie Shoshani, Der...
SC
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