274 search results - page 17 / 55 » The SDVM - An Approach for Future Adaptive Computer Clusters |
PRIB
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
HPDC
1998
IEEE
14 years 1 months ago
1998
IEEE
In this paper we present a model for dynamically scheduling HTTP requests across clusters of servers, optimizing the use of client resources as well as the scattered server nodes....
EUC
2008
Springer
13 years 10 months ago
2008
Springer
In this paper, we have proposed a framework of systems-on-chips clustering in application to complicated sensor networks. The framework can be applied to address the communication ...
SBACPAD
2007
IEEE
14 years 3 months ago
2007
IEEE
One way to exploit Thread Level Parallelism (TLP) is to use architectures that implement novel multithreaded execution models, like Scheduled DataFlow (SDF). This latter model pro...
IMR
2004
Springer
14 years 2 months ago
2004
Springer
We describe some extensions to the grid smoothing scheme described in [1, 2] that deal with the following issues: 1) the clustering effect of changing valence in an unstructured ...