Can I install openstack on 3 different virtual machines with the configurations as listed:
Controller Node: 1 processor, 4 GB memory, and 10 GB storage
Network Node: 1 processor, 4 GB memory, and 20 GB storage
Compute Node: 1 processor, 4 GB memory, and 30 GB storage
I wanted to know if having a physical machine with visualization enabled processor is essential for openstack deployment or one can proceed with virtual machines only. I am asking this because in almost all the documents i have read it suggests to have physical nodes.
I also want to know what difference will it make if i install on a virtual machine(assuming it is possible to install on a VM) & why can i not install openstack on virtual machines(assuming i cannot install openstack on virtual machines)
Please bear in mind that i dont want to install devstack.
I guess one can install controller and the neutron on VMs.
However, for the compute node you require a physical VM.
A simple configuration could be (as suggested in the openstack docs)
Controller Node: 1-2 CPU, 8GB RAM, 100GB Storage 1 NIC
Neutron Node: 1-2 CPU 2 GB RAM, 50 GB Storage 3 NIC
Compute Node: 2-4 CPU , 8GB RAM, 100+ GB Storage 2 NIC
However i guess(though unsure ) that the compute if has CPU virtualisation enabled, then the compute could also be a VM.
Someone who could specify the implications of running these nodes on a VM compared to physical nodes???
Related
I’m trying to run an AI yolov5 model on 12 cameras through the flask script. I have made 12 virtual hosts with separate directory containing separate flask script for each camera.
Each virtual host is with different port number, making them port separated virtual hosts
The system specifications includes:
OS: Windows 2019 server
GPU: 12 GB RTX Geforce 2080 Ti
CPU: intel xeon, 8 cores with 3.6 GHz
RAM: 32 GB
When I’m running only one camera through virtual hosts, its performance is really good, processing upto 34 frames per second. But as I add more cameras the processing time increases. With 12 cameras each virtual hosts processes only 4 frames per second, reducing the performance.
Are the worker threads through which the virtual hosts are initialized are interfering with each other?
I have increased the thread limit of apache through winnit mpm module to 12000 threads, to spare extra threads to handle the load.
The cpu usage only goes to 35 %, RAM: 10 GB and GPU: 6 GB
I have a 256 GB SSD 4 TB 5400 RPM HDD on my Windows 10 Pro machine. For my Hyper-V VMs, I put the storage on my 4 TB 5400 RPM HDD.
The VMs are super slow. I did a test and put the storage on my SSD and the VMs were super fast.
Is there anything I can do to speed it up when my VMs are on the HDD, or do I need to get a faster HDD?
I am running Apache Guacamole on a Google Cloud Compute Engine f1-micro with CentOS 7 because it is free.
Guacamole runs fine for some time (an hour or so) then unexpectantly crashes. I get the ERR_CONNECTION_REFUSED error in Chrome and when running htop I can see that all of the tomcat processes have stopped. To get it running again I just have to restart tomcat.
I have a message saying "Instance "guac" is overutilized. Consider switching to the machine type: g1-small (1 vCPU, 1.7 GB memory)" in the compute engine console.
I have tried limiting the memory allocation to tomcat, but that didn't seem to work.
Any suggestions?
I think the reason for the ERR_CONNECTION_REFUSED is likely due to the VM instance falling short on resources and in order to keep the OS up, process manager shuts down some processes. SSH is one of those processes, and once you reboot the vm, resource will resume operation in full.
As per the "over-utilization" notification recommending g1-small (1 vCPU, 1.7 GB memory)", please note that, f1-micro is a shared-core micro machine type with 0.2 vCPU, 0.60 GB of memory, backed by a shared physical core and is only ideal for running smaller non-resource intensive applications..
Depending on your Tomcat configuration, also note that:
Connecting to a database is an intensive process.
Creating a Tomcat with Google Marketplace, the default VM setting is "VM instance: 1 vCPU + 3.75 GB memory (n1-standard-1) so upgrading to machine type: g1-small (1 vCPU, 1.7 GB memory) so should ideal in your case.
Why was g1 small machine type recommended. Please note that Compute Engine uses the same CPU utilization numbers reported on the Compute Engine dashboard to determine what recommendations to make. These numbers are based on the average utilization of your instances over 60-seconds intervals, so they do not capture short CPU usage spikes.
So, applications with short usage spikes might need to run on a larger machine type than the one recommended by Google, to accommodate these spikes"
In summary my suggestion would be to upgrade as recommended. Also note that, the rightsizing gives warnings when VM is underutilized or overutilized and in this case, it is recommending to increase your VM size due to overutilization and keep in mind that this is only a recommendation based on the available data.
i want to create no. of virtual machines with Ubuntu operating system. I want to install hadoop, spark, yarn, cassandra, mongodb etc big data tools on each one of it. so, how many virtual machine can be created on a single machine with 16GB RAM?
other info. is given below
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Considering your software requirement maximum of 2 virtual machines can be created..that too if you are not using cloudera-manager services
Windows XP as base OS. Laptop has 4GB RAM and 2*2.2GHz cores. About 3 year old laptop
Am using Windows7 in VMWare Player. If I allocate more than 1GB of RAM to the Win7 machine in the VMWare player settings it goes so slow, and is continually swapping to disk.
I've turned off all Win7 processor intensive stuff.
http://www.computingunleashed.com/speed-up-windows-7-ultimate-guide-to.html
http://www.computingunleashed.com/list-of-services-in-windows-7-that-can.html
The base OS only reports using aboiut 144MB of RAM to the player. Very weird.
I'm using 2 virtual disks: 20GB SCSI for c:\ and 25GB SCSI for data f:\
Problem: How to tweak Win7 VMware (ie VS2010, Sql2008R2) well on an older laptop. Or use something else?
The problem is that by default vmware player uses file as memory.
Read this for more info & fix
http://communities.vmware.com/thread/46122
If you want to achieve this for all your VMs, you may just add/append following two lines:
prefvmx.minVmMemPct = 100
mainMem.useNamedFile = "false"
... inside the following VMware-wide configuration file:
C:/ProgramData/VMware/VMware Workstation/config.ini (or sometimes settings.ini)
The first line sets the percentage of configured VM memory that should fit into the host memory and the second (as already shown in the prior answer) disables default file-based memory usage.
If you want to apply this to a specific VM only, in order to not alter general VMware configuration, adding the following line to the VM's *.vmx file may be an alternative:
hard-disk.hostBuffer = "disabled"