similar to: [ANNOUNCE] virtbench now has xen support

Hi, This is an update to the paravirt_ops KVM backend series. I've made a number of changes and attempted to incorporate all the feedback from the last review. Some highlights: 1) Clean up the paravirt time source patch to use a more Xen-like model 2) Change the hypercall queueing to pass a PA on the flush hypercall 3) Add MMU support for release_{pt,pd} and TLB flush 4) Use KVM specific

Hi, This is an update to the paravirt_ops KVM backend series. I've made a number of changes and attempted to incorporate all the feedback from the last review. Some highlights: 1) Clean up the paravirt time source patch to use a more Xen-like model 2) Change the hypercall queueing to pass a PA on the flush hypercall 3) Add MMU support for release_{pt,pd} and TLB flush 4) Use KVM specific

Hi all, I got few servers to make xen nodes, to evaluate maybe other virtualisation and different xen configurations... I don`t know match about benchmarking, I was wondering what and how to test properly Dom0 and DomU performance on different servers... If somebody is interested in results I can publish them... thanx, Casper _______________________________________________ Xen-users

I''m seeing some unexpected and strange behaviour with respect to quotas and zones. Initially I set things up with no quota on the data set that as delegated to the zone. Then as the local zone admin I created a new child dataset and set a quota on that. Now the global zone admin attempts to quota the delegated dataset, and it appears to work but.... global zone=pingpong local

This question involves Rook, but I think the answer will be general enough that it pays to post here. At any rate, I don't know enough to know whether this is a Rook only issue or a general R issue. Here's what I'd like to do (and indeed, have code that should do this): 1. Start R, Rook 2. Start an analysis via a HTTP request to Rook. This analysis uses .Call() to some compiled C

The new patching code means that we don't actually have to do as much work in lguest's patcher. We use paravirt_patch_default() for cases we don't want to patch inline, which automatically handles the "patch iret to use a direct jump" case. There's no measurable effect on lguest's virtbench scores tho. Signed-off-by: Rusty Russell <rusty@rustcorp.com.au> ---

The new patching code means that we don't actually have to do as much work in lguest's patcher. We use paravirt_patch_default() for cases we don't want to patch inline, which automatically handles the "patch iret to use a direct jump" case. There's no measurable effect on lguest's virtbench scores tho. Signed-off-by: Rusty Russell <rusty@rustcorp.com.au> ---

Date Fo Co 6/27/2007 57.1 13.9 6/28/2007 57.7 14.3 6/29/2007 57.8 14.3 6/30/2007 57 13.9 7/1/2007 57.1 13.9 7/2/2007 57.2 14.0 7/3/2007 57.3 14.1 7/4/2007 57.6 14.2 7/5/2007 58 14.4 7/6/2007 58.1 14.5 7/7/2007 58.2 14.6 7/8/2007 58.4 14.7 7/9/2007 58.7 14.8 Hello all: I am a newbie to R, and I was wondering how can I

I should have this in my head by now... I tried migrating a physical Windows host last night using virt-p2v CD. It ran for 3 hours and then died. I'll get details later from the log but as I think about it, I'll bet it died because I never installed virtio-win in my Fedora migration server. The documentation says do "yum install virtio-win" - but this is RHEL

Hi, If I set the p.adjust="none", does it meant that the output p values from the pairwise.t.test will be the same as those from individual t.tests (set var.equal=T, alternative="t")? I actually got different p values from the two tests. See below. Is it supposed to be this way? Thanks Johnny > x [1] 61.6 52.7 61.3 65.2 62.8 63.7 64.8 58.7 44.9 57.0 64.3 55.1 50.0 41.0

Hi, I have a table of observed counts for various genetic markers. Instead of doing Fisher's exact test for each marker one at a time and recording the P value manually, is there a script to go through the whole list and generate the P value column automatically? An example of my data: Counts_CHB and Counts_AA are the observed counts for one allele. 2N_CHB and 2N_AA are the total number

Hello, I have the following data.frame structure(list(Study = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,

Hi r-users,   I hope somebody can help me to understand the error message.  Here is my code; ## Newton iteration newton_gam <- function(z) { n   <- length(z)   r   <- runif(n)   tol <- 1E-6   cdf <- vector(length=n, mode="numeric")   fprime <- vector(length=n, mode="numeric")   f   <- vector(length=n, mode="numeric")     for (i in 1:1000)   {

Dear all, For estimating Cobb-Douglad production Function [ Y = ALPHA * (L^(BETA1)) * (K^(BETA2)) ], i want to use nls function (without linearizing it). But how can i get initial values? ------------------------------------ > options(prompt=" R> " ) R> Y <- c(59.6, 63.9, 73.5, 75.6, 77.3, 82.8, 83.6, 84.9, 90.3, 80.5, 73.5, 60.3, 58.2, 64.4, 75.4, 85, 92.7, 85.4,

With GPLPV under 2.6.30, GPLPV gets the following from the ring: ring slot n (first buffer): status (length) = 54 bytes offset = 0 flags = NETRXF_extra_info (possibly csum too but not relevant) ring slot n + 1 (extra info) gso.size (mss) = 1460 Because NETRXF_extra_info is not set, that''s all I get for that packet. In the IP header though, the total length is 1544 (which in itself

With GPLPV under 2.6.30, GPLPV gets the following from the ring: ring slot n (first buffer): status (length) = 54 bytes offset = 0 flags = NETRXF_extra_info (possibly csum too but not relevant) ring slot n + 1 (extra info) gso.size (mss) = 1460 Because NETRXF_extra_info is not set, that''s all I get for that packet. In the IP header though, the total length is 1544 (which in itself

Hi All I can specify whatever inits, it has no effect on the estimation. I am replicating a textbook example. The result is completely trash, having estimates of -58.7 (sd=59.3), where it should be closer to an ml estimate of 0.585 (SE=0.063). The two chains within one run are different, but with different inits for different runs, I get exactly the same chains, and I mean exactly. If I set

Hi All, I have a data set wit three size classes (pico, nano and micro) and 12 different sites (Seamounts). I want to produce a table with the mean and standard deviation values for each site. Seamount Pico Nano Micro Total_Ch 1 Off_Mount 1 0.0691 0.24200 0.00100 0.31210 2 Off_Mount 1 0.0938 0.00521 0.02060 0.11961 3 Off_Mount 1 0.1130 0.20000 0.06620 0.37920 4 Off_Mount 1

Hello, Like many trying and posting here, I''m new to VGA passthrough. Computer was bought, checking compatibility from http://wiki.xen.org/wiki/VTd_HowTo The hardware is mostly not exactly on the list, but mainly new versions of the same series (I think). IOMMU "seems" to be working (not 100% sure what to check). I used debian/wheezy kernel and xen, dom0 and HVM domu.

Hi, Sorry i left the file behind. Here's the file. Best regards. On Sat, Nov 23, 2019, 16:50 Phil Perry <pperry at elrepo.org> wrote: > On 23/11/2019 06:48, Ebed wrote: > > Hi, > > > > Yesterday i tried to install centOS 8 on my little router and server, but > > there's no ethernet listed there. I'm using Compaq pressario V3737TU > which >