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Hi all, In R, is there some functions or ways to create a Clustered-Stacked Column Chart as the example in the following page http://peltiertech.com/Excel/ChartsHowTo/ClusterStack.html? I have browsed the R Graph Gallery (http://addictedtor.free.fr/graphiques/) and searched the R site, and didnot find an appropriate method to do it. Anybody has met this problem before? Thanks a lot. [[alternative HTML version deleted]]

...q on *both* nodes are "blocked for more than 120 seconds". When the network is operational, umount by hand works without any problems, because for the testing scenario there are no services running which are keeping the mountpoint busy. Configuration we used is pretty much from "ClusterStack/LucidTesting" document, with clone-max="2" added where needed because of the additional quorum node in comparison to that document. NB: we have successfully reproduced this problem on three Ubuntu 11.10 Server nodes as well. Any ideas? Thanks, Ivan

This is Hide. This is the first contribution. I'd like to configure cluster file system by OCFS2. The number of nodes are two. CompactFlash card(CF) is used as shared DISK. Guarantees of the writing frequency to CF are up to 100,000 times. However, it exceed in two day, due to the disk_heart_beat executed every two seconds. I tried following procedures to solve that. It seems solved. 1.

....0 > output from top is: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1199 waltman 17 0 3844m 3.7g 3216 S 0.0 23.6 29:58.74 R Note, the relevant call that invoked my function is: test <- sapply( c(1:10), function(x) get.vars.for.cluster( clusterStack[[x]], opt="rows" ) ) Finally, for fun, I rm()'d all variables with the rm( list=ls() ) command, and then called gc(). The memory of this "empty" instance of R is still 3.4 gig, i.e. R.console: > rm( list=ls() ) > ls() character(0) > gc()...

...p is: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1199 waltman 17 0 3844m 3.7g 3216 S 0.0 23.6 29:58.74 R Note, the relevant call that invoked my function is: test <- sapply( c(1:10), function(x) get.vars.for.cluster( clusterStack[[x]], opt="rows" ) ) Finally, for fun, I rm()'d all variables with the rm( list=ls() ) command, and then called gc(). The memory of this "empty" instance of R is still 3.4 gig, i.e. R.console: > rm( list=ls() ) > ls() character(0)...

Hi Everyone, I am going to get a storage server which will be connected to my Xen hosts via iSCSI/Ethernet. I wish to use LVM for the DomU disks. The storage server will have a RAID10 array, and 2 Xen hosts will connect to this (Each will have a 50% share of the RAID10 array, space wise). What is the best way to go about this? Should I: a) Split the RAID10 array into 2 partition on the