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Operating Systems Linux Red Hat How to troubleshoot a 1000 nodes Apache cluster? Post 302750787 by admin_xor on Wednesday 2nd of January 2013 01:34:37 PM
Old 01-02-2013
RedHat How to troubleshoot a 1000 nodes Apache cluster?

Hi all.

May I get some expert advice on troubleshooting performance issues of a 1000 nodes Apache LB cluster. Users report slow loading/response of webpages. Different websites are hosted on this cluster for different clients. But all are reporting the same issue.

Could you please let me know what all basic aspects you would take into consideration for this sort of issue.

FYI. I do not have access to the load-balancers.
 

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clm residue(1)							  USER COMMANDS 						    clm residue(1)

  NAME
      clm residue - extend clustering of subgraph to clustering of graph.

      clmresidue  is  not  in  actual fact a program. This manual page documents the behaviour and options of the clm program when invoked in mode
      residue. The options -h, --apropos, --version, -set, --nop are accessible in all clm modes. They are described in the clm manual page.

  SYNOPSIS
      clm residue -icl fname (input clustering) -imx fname (input graph) [-rpm fname (residue projection matrix)]  [-o	fname  (output	clustering
      file)]

  DESCRIPTION
      The cluster file presumably contains a clustering of a subgraph of the graph G contained by the matrix file, implying that the row domain of
      that clustering is a subset of the node domain of the graph. clm residue will compute  a	simple	upwards  projection  of  that  clustering,
      resulting in a clustering of G.

  OPTIONS
      -imx fname (input graph)

      -icl fname (input clustering)

      -rpm fname (residue projection matrix)
	The name for the file in which the residue projection matrix is stored.  It contains for each node and for each cluster in the input clus-
	tering the combined weight of the (edges to the) neighbours of that node in that cluster.  The default output file name is out.rpm.

      -o fname (output clustering file)
	The name for the file in which the majority vote projection clustering is stored. Aka the majority vote projection clustering storage file
	name.

	This  embodies	a very crude approach to distributing the missing nodes in the input clustering onto that same cluster. For each node, the
	cluster is taken for which the residue projection is the largest (see above). The residue (i.e. the set of  missing  nodes)  is  initially
	viewed	as  a  cluster;  the set of nodes for which the projection is largest for the residue itself will form a new cluster, if it is not
	empty.

	By default output is sent to STDOUT.

  AUTHOR
      Stijn van Dongen.

  SEE ALSO
      mclfamily(7) for an overview of all the documentation and the utilities in the mcl family.

  clm residue 12-068						      8 Mar 2012						      clm residue(1)
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