search for: inflations

On 12/09/2011 06:52 PM, wine-users-request at winehq.org wrote: > [...] > 11. Re: Using Todolist (abstract spoon) from Ubuntu 11.10 (DanKegel) > [...] > Message: 8 > Date: Thu, 08 Dec 2011 21:43:52 -0600 > From: "DanKegel"<wineforum-user at winehq.org> > To: wine-users at winehq.org > Subject: [Wine] Re: Using Todolist (abstract spoon) from Ubuntu

On 08.03.20 05:47, Tyler Sanderson wrote: > Tested-by: Tyler Sanderson <tysand at google.com> > > Test setup: VM with 16 CPU, 64GB RAM. Running Debian 10. We have a 42 > GB file full of random bytes that we continually cat to /dev/null. > This fills the page cache as the file is read. Meanwhile we trigger > the balloon to inflate, with a target size of 53 GB. This setup

On 08.03.20 05:47, Tyler Sanderson wrote: > Tested-by: Tyler Sanderson <tysand at google.com> > > Test setup: VM with 16 CPU, 64GB RAM. Running Debian 10. We have a 42 > GB file full of random bytes that we continually cat to /dev/null. > This fills the page cache as the file is read. Meanwhile we trigger > the balloon to inflate, with a target size of 53 GB. This setup

On Fri, Oct 20, 2017 at 07:54:26PM +0800, Wei Wang wrote: > This patch forces the cease of the inflating work when OOM occurs. > The fundamental idea of memory ballooning is to take out some guest > pages when the guest has low memory utilization, so it is sensible to > inflate nothing when the guest is already under memory pressure. > > On the other hand, the policy is

On Fri, Oct 20, 2017 at 07:54:26PM +0800, Wei Wang wrote: > This patch forces the cease of the inflating work when OOM occurs. > The fundamental idea of memory ballooning is to take out some guest > pages when the guest has low memory utilization, so it is sensible to > inflate nothing when the guest is already under memory pressure. > > On the other hand, the policy is

Hi, Dear R-help I know there are some R package to deal with zero-inflated count data. But I am now looking for R package to deal with zero-inflated continuous data. The response variable (Y) in my dataset contains a larger mount of zero and the Non-zero response are quite right skewed. Now what i am doing is first to use a logistic regression on covariates (X) to estimate the probability of Y

Hello, I hope there is a simple explanation for this. I have been using odfWeave with great satisfaction in R 2.5.0. Unfortunately, I cannot get beyond the following error message with a particular file. I have copied and pasted into new files and the same error pops up. It looks like the error is occurring before any of the R code is run (?). Any suggestions on how to track this down and fix

Hello All, Have recently started learning Sweave and Knitr. Am now trying to learn odfWeave as well. Things went pretty smoothly with Sweave and Knitr but I'm having some trouble with odfWeave. My understanding was that odfWeave should work in pretty much the same way as Sweave. With odfWeave, you set up an input .odt file in a folder, run that file through the odfWeave function, and then

This patch forces the cease of the inflating work when OOM occurs. The fundamental idea of memory ballooning is to take out some guest pages when the guest has low memory utilization, so it is sensible to inflate nothing when the guest is already under memory pressure. On the other hand, the policy is determined by the admin or the orchestration layer from the host. That is, the host is expected

On 10.03.20 20:05, David Rientjes wrote: > On Tue, 10 Mar 2020, David Hildenbrand wrote: > >> Commit 71994620bb25 ("virtio_balloon: replace oom notifier with shrinker") >> changed the behavior when deflation happens automatically. Instead of >> deflating when called by the OOM handler, the shrinker is used. >> >> However, the balloon is not simply

On 10.03.20 20:05, David Rientjes wrote: > On Tue, 10 Mar 2020, David Hildenbrand wrote: > >> Commit 71994620bb25 ("virtio_balloon: replace oom notifier with shrinker") >> changed the behavior when deflation happens automatically. Instead of >> deflating when called by the OOM handler, the shrinker is used. >> >> However, the balloon is not simply

Hello, I have count data that illustrate the presence or absence of individuals in my study population. I created a grid cell across the study area and calcuated a count value for each individual per season per year for each grid cell. The count value is the number of time an individual was present in each grid cell. For illustration my data columns look something like this and are repeated for

Dear list, I am running some zero inflated models and would like to know what the deviance of the models. Unlike running a normal GLM where the deviance is displayed in the summary all that is displayed in a summary of the zero inflated model is the log likelihood. I hope this isn't a read the manual question, and if it is I apologize for wasting your time, but if you could still send me a

On 05.02.20 17:34, David Hildenbrand wrote: > Commit 71994620bb25 ("virtio_balloon: replace oom notifier with shrinker") > changed the behavior when deflation happens automatically. Instead of > deflating when called by the OOM handler, the shrinker is used. > > However, the balloon is not simply some slab cache that should be > shrunk when under memory pressure. The

On 05.02.20 17:34, David Hildenbrand wrote: > Commit 71994620bb25 ("virtio_balloon: replace oom notifier with shrinker") > changed the behavior when deflation happens automatically. Instead of > deflating when called by the OOM handler, the shrinker is used. > > However, the balloon is not simply some slab cache that should be > shrunk when under memory pressure. The

> Subject: Re: [PATCH v2 repost 4/7] virtio-balloon: speed up inflate/deflate > process > > On Wed, Jul 27, 2016 at 09:03:21AM -0700, Dave Hansen wrote: > > On 07/26/2016 06:23 PM, Liang Li wrote: > > > + vb->pfn_limit = VIRTIO_BALLOON_PFNS_LIMIT; > > > + vb->pfn_limit = min(vb->pfn_limit, get_max_pfn()); > > > + vb->bmap_len =

> Subject: Re: [PATCH v2 repost 4/7] virtio-balloon: speed up inflate/deflate > process > > On Wed, Jul 27, 2016 at 09:03:21AM -0700, Dave Hansen wrote: > > On 07/26/2016 06:23 PM, Liang Li wrote: > > > + vb->pfn_limit = VIRTIO_BALLOON_PFNS_LIMIT; > > > + vb->pfn_limit = min(vb->pfn_limit, get_max_pfn()); > > > + vb->bmap_len =

Dear list, dear Max, I a currently working on a report. I'm writing it with OpenOffice.org and odfWeave. I'm working increentally : I write a bit, test (interactively) some ideas, cutting-and-pasting code to the Ooo report when satisfied with it. I the process, I tend to recompile the .odt source a *lot*. Suddenly, odfWeave started to give me an incomprehensible error even before

Dear R crew: I am sorry this question has been posted before, but I can't seem to solve this problem yet. I have a simple dataset consisting of two variables: cestode intensity and chick size (defined as CAPI). Intensity is a count and clearly overdispersed, with way too many zeroes. I'm interested in looking at the association between these two variables, i.e. how well does chick

Dear all, I want to build a model in R based on animal collection data, that look like the following Nr Village District Site Survey Species Count 1 AX A F Dry B 0 2 AY A V Wet A 5 3 BX B F Wet B 1 4 BY B V Dry B 0 Each data point shows one collection unit in a certain Village, District, Site, and Survey for a certain Species. 'Count' is the number of animals collected in that