HA Cluster solution for Linux - which one to use?

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HA Cluster solution for Linux - which one to use?

Operating Systems Linux Red Hat HA Cluster solution for Linux - which one to use?

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08-11-2010

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HA Cluster solution for Linux - which one to use?

Hi all experts,

I need your kind suggestions or feedback on choice of clustering software for red hat linux nodes running certain applications which I need to make highly available.

Minimum requirement is 2 nodes; all nodes shall be active-active running distinct applications e.g. node 1 runs application ABC and node 2 runs application PQR, node 1 is back up node for PQR and node 2 for ABC. Node 1 and node 2 do not have any shared storage required, they access back end database which is protected by Oracle's dataguard.

I need to have cost-effective HA with minimum downtime. There are various HA solutions available in market - SteelEye, Veritas Cluster, Red Hat cluster suite, IBM HACMP etc. and I have almost narrowed down to Red Hat Cluster(for it being cheaper) vs Veritas (for it being feature rich).

Any experiences with clustering? Any pros and cons of these two cluster software (with references would be appreciated) would be of great help?

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pshaikh

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LEARN ABOUT DEBIAN

mclfamily

mcl(7)								  MISCELLANEOUS 							    mcl(7)

  NAME
      mclfamily - a description of the mcl family of cluster applications.

      mcl  is an implementation of the Markov Cluster Algorithm, aka MCL algoritm.  It is described in the mcl manual.	Several other applications
      are part of the MCL distribution. This manual pages gives an overview.

  DESCRIPTION
      mcl(1)	     the cluster algorithm
      mclfaq(7)      MCL Frequently Asked Questions
      mcxio(5)	     the network/matrix input/output format
      mcx(1)	     general network/matrix tasks
      mcx diameter   compute diameter of an undirected network
      mcx ctty	     compute betweenness centrality
      mcx clcf	     compute clustering coefficient
      mcx erdos      compute shortest paths in graphs
      mcx query      analyse networks at different thresholds
      mcx alter      apply network transformations
      mcx convert    convert between interchange/binary storage types
      mcxarray(1)    transform array data to MCL matrices
      mcxdump(1)     dump a matrix optionally with label substitions
      mcxload(1)     load label data into matrix and tab files
      mcxrand(1)     randomly remove, add, and perturb edge weights
      mcxmap(1)      relabel indices in a graph/matrix
      mcxsubs(1)     extracting submatrices in various ways
      mcxi(1)	     general matrix operations
      mcxassemble(1) create matrices from raw data
      clm(1)	     general graph-clustering related tasks
      clm dist	     compute split/join distance between clusterings
      clm vol	     derive node volatility scores from a set of clusterings
      clm info	     compute performance measure for clusterings
      clm meet	     compute intersection of clusterings
      clm mate	     find best matching clusters between clusterings
      clm close      fetch connected components from graphs or subgraphs
      clm imac	     interpret MCL iterand/matrix as clustering
      clm order      reorder indices to represent blocks from different clusterings
      clm residue    extend subgraph clustering
      clmformat(1)   display clusters as html or txt files
      mclpipeline(1) parsing/assembly/clustering/display
      mclblastline(1)BLAST pipeline
      mcxdeblast(1) *parse BLAST files

      Entries marked * are not available if only a default install is done.

  mcl 12-068							      8 Mar 2012							      mcl(7)