hi,
check out the linux-clustering howto @ www.tldp.org. get the oscar toolkit from sourceforge.net. Oscar is a really good tool for clustering. Oscar works with diskless nodes and can work with the lowest of configurations.Also it uses the master-slave configuration as compared to the p2p models some other clustering tools use.
Also you can work with pvm/lam if you want to really do some hardcore clustering. Try using the MPI from notredame univ. It seems to be good.
Problem that can be solved using a cluster are 1> Distributed Compilation of large programs e.g teambuilder/distcc 2> Image Rendering using Pov-Ray/other variants 3> Hypertext indexing / searching.
--> Vinayak Hegde
I am building Linux cluster as my final year project. I have a book " Building Linux Cluster" published by O'Reily . Can you tell me some other references. Further I am planning to demonstrate one parallel programming problem using PVM. What PC configurations do you recommend ? Can this be worked out by installing master and slave node images of Linux dual port with windows ?</p>
<P>Can anyone suggest me any parallel programming problem to demonstrate on the cluster ?and any other parallel programming API available?
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hellew, We usually suggest a cluster for high availability requirements...you have two servers running different apps and acting as a fallback for the other. Oracle 9i Real Application Clusters is an example of an app making use of underlying clustering functionality. You can also use clustering for load-balancing.
regds, Kishor
Problem that can be solved using a cluster are 1> Distributed Compilation of large programs e.g teambuilder/distcc 2> Image Rendering using Pov-Ray/other variants 3> Hypertext indexing / searching.
--> Vinayak Hegde
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