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» Troubleshooting Distributed Systems via Data Mining
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SC
2009
ACM
14 years 3 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
HOTOS
2007
IEEE
14 years 21 days ago
Hyperspaces for Object Clustering and Approximate Matching in Peer-to-Peer Overlays
Existing distributed hash tables provide efficient mechanisms for storing and retrieving a data item based on an exact key, but are unsuitable when the search key is similar, but ...
Bernard Wong, Ymir Vigfusson, Emin Gün Sirer
IPPS
2000
IEEE
14 years 1 months ago
Accommodating QoS Prediction in an Adaptive Resource Management Framework
Resource management for dynamic, distributed real-time systems requires handling of unknown arrival rates for data and events; additional desiderata include: accommodation of heter...
Eui-nam Huh, Lonnie R. Welch, Behrooz Shirazi, Bre...
CONCUR
1991
Springer
14 years 10 days ago
Real Space Process Algebra
We propose a process algebra obtained by adapting the process algebra with continuous relative timing from Baeten and Middelburg [Process Algebra with Timing, Springer, 2002, Chap....
Jos C. M. Baeten, Jan A. Bergstra
ICASSP
2011
IEEE
13 years 16 days ago
The Bayesian inference of phase
Bayesian recursive inference of phase in additive Gaussian noise environments is studied. A tractable conjugate system is established using a von Mises distribution. Its shaping p...
Anthony Quinn, Jean-Pierre Barbot, Pascal Larzabal