search for: multigigabyte

...ink I am running into filesystem performance issues on the target. Moving from the windows systems to Samba, I see about 45 MB/sec transfers rates. The raid array on the samba server consist of 2 6 disk raid5 sets with fast disks on them, running lvm and XFS for a filesysteem. I can do a dd of a multigigabyte file to /dev/null and get roughly 500-600 MB/'s transfer rates through the filesystem, so I don't think the raid array and file system is a bottleneck. I have run netperf tests between the server and the clients to see if I had some network plumbing problems. With default socket settings...

Just because I've been pulling my hair out for over a month about this problem, I'd like to get it into the archives. When copying large files (multigigabyte) on a CentOS 4.4 4GB Xeon (running 32 bit) server (2.6.9-42.0.3.ELsmp), I was getting: page allocation failure. order:0, mode:0x50 (snip lines and lines of debug output) This was accompanied by a huge swapout storm that brought the system to a near standstill. Also, it could trigger OOM-Killer...

...ose LVM and Full Disk Encryption, with a separate /home > Resize /home to be 80GB > Install openswan, connect to remote network > Install xen > Set up a virtual machine with Debian Stable using logical volumes as the > backing store. fs: ext3 > network: NAT > transfer a large (multigigabyte) file from a remote server over the > internet to the virtual machine > > Expected behavior: File transfers fine, md5sum agrees with remote system > Observed behavior: md5sum never matches, done enough times, the ext3 fs > becomes corrupted. > > Have some saved log files to i...

Dear R-users, I am currently facing what appears to be a strange thing (at least to my humble understanding). If I understood correctly, starting with the version 1.2.3, R memory allocation can be done dynamically, and there is no need to fiddle with the --nsize and --vsize parameter any longer... So far this everything seemed to go this way (I saw the size of my processes growing when I was

Greetings ~ I need some assistance determining an appropriate approach to analyzing multivariate binary response data, and how to do it in R. The setting: Data from an assay, wherein 6-hours-post-fertilization zebrafish embryos (n=20, say) are exposed in a vial to a chemical (replicated 3 times, say), and 5 days later observed for the presence/absence (1/0) of defects in several organ systems