12:02 p.m.
This is a multipart message in MIME format.
------=_NextPart_000_0034_01CCEF52.24220DB0
Content-Type: multipart/alternative;
boundary="----=_NextPart_001_0035_01CCEF52.24220DB0"
------=_NextPart_001_0035_01CCEF52.24220DB0
Content-Type: text/plain;
charset="koi8-r"
Content-Transfer-Encoding: 7bit
Hi
I set up two nodes running ovirt.
The configuration of both servers is identical (node.png).
when you create a virtual machine to a setting is per (vm.png). It runs
successfully.
If the setting "Number of CPU Cres," set to 3 (1 Socket (s), 3 Core (s) per
Socket) (fail.png) - VM will not start. ovirt error:
"Cannot run VM. There are no available running Hosts with enough cores in
VM's Cluster."
Why not?
Do I understand correctly that the value of (1 Socket (s), 3 Core (s) per
Socket) means 3 virtual CPU on a physical processor core nodes?
Number of CPU Cres: 2 (2 Socket (s), 1 Core (s) per Socket) - the virtual
machine is started successfully
Number of CPU Cres: 4 (2 Socket (s), 2 Core (s) per Socket) - error.
Number of CPU Cres: 2 (1 Socket (s), 2 Core (s) per Socket) - the successful
launch
------=_NextPart_001_0035_01CCEF52.24220DB0
Content-Type: text/html;
charset="koi8-r"
Content-Transfer-Encoding: quoted-printable
<html xmlns:v=3D"urn:schemas-microsoft-com:vml" =
xmlns:o=3D"urn:schemas-microsoft-com:office:office" =
xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" =
xmlns=3D"http://www.w3.org/TR/REC-html40"><head><meta =
http-equiv=3DContent-Type content=3D"text/html; charset=3Dkoi8-r"><meta =
name=3DGenerator content=3D"Microsoft Word 14 (filtered =
medium)"><style><!--
/* Font Definitions */
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0cm;
margin-bottom:.0001pt;
font-size:11.0pt;
font-family:"Calibri","sans-serif";
mso-fareast-language:EN-US;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:blue;
text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-priority:99;
color:purple;
text-decoration:underline;}
span.EmailStyle17
{mso-style-type:personal-compose;
font-family:"Calibri","sans-serif";
color:windowtext;}
span.longtext
{mso-style-name:long_text;}
span.hps
{mso-style-name:hps;}
.MsoChpDefault
{mso-style-type:export-only;
font-family:"Calibri","sans-serif";
mso-fareast-language:EN-US;}
@page WordSection1
{size:612.0pt 792.0pt;
margin:2.0cm 42.5pt 2.0cm 3.0cm;}
div.WordSection1
{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body lang=3DRU
link=3Dblue =
vlink=3Dpurple><div class=3DWordSection1><p class=3DMsoNormal><span =
lang=3DEN-US>Hi<o:p></o:p></span></p><p
class=3DMsoNormal><span =
class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>I
set =
up</span></span
<span class=3Dlongtext><span
lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>
=
</span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>two</span></span=
<span class=3Dlongtext><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>
=
</span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>nodes</span></sp=
an<span class=3Dlongtext><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>
=
</span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>running</span></=
span<span class=3Dlongtext><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>
=
</span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>ovirt</span></sp=
an<span class=3Dlongtext><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>.</span></span><=
span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'><br><span
=
class=3Dhps>The configuration of</span><span class=3Dlongtext> =
</span><span class=3Dhps>both servers</span><span
class=3Dlongtext> =
</span><span class=3Dhps>is identical (</span><span =
class=3Dlongtext>node.png).</span><br><span class=3Dhps>when you
create =
a</span><span class=3Dlongtext> </span><span class=3Dhps>virtual
machine =
to</span><span class=3Dlongtext> </span><span
class=3Dhps>a</span><span =
class=3Dlongtext> </span><span class=3Dhps>setting is
per</span><span =
class=3Dlongtext> </span><span class=3Dhps>(</span><span =
class=3Dlongtext>vm.png). </span><span class=3Dhps>It
runs</span><span =
class=3Dlongtext> </span><span
class=3Dhps>successfully.</span><br><span =
class=3Dhps>If</span><span class=3Dlongtext> </span><span =
class=3Dhps>the setting</span><span class=3Dlongtext> </span><span
=
class=3Dhps>"Number of CPU</span><span class=3Dlongtext> =
</span><span class=3Dhps>Cres</span><span
class=3Dlongtext>," =
</span><span class=3Dhps>set to</span><span class=3Dlongtext> =
</span><span class=3Dhps>3</span><span class=3Dlongtext>
</span><span =
class=3Dhps>(1</span><span class=3Dlongtext> </span><span =
class=3Dhps>Socket (s),</span><span class=3Dlongtext> </span><span
=
class=3Dhps>3</span><span class=3Dlongtext> </span><span =
class=3Dhps>Core (s) per Socket) (</span><span =
class=3Dlongtext>fail.png) - </span><span
class=3Dhps>VM</span><span =
class=3Dlongtext> </span><span class=3Dhps>will not
start.</span><span =
class=3Dlongtext> </span><span class=3Dhps>ovirt</span><span =
class=3Dlongtext> </span><span
class=3Dhps>error:</span><br><span =
class=3Dhps>“Cannot run VM.</span><span class=3Dlongtext> =
</span><span class=3Dhps>There are no available running Hosts with =
enough cores in VM's Cluster.”</span><br><span
class=3Dhps>Why =
not?</span><br><br><span class=3Dhps>Do I understand =
correctly</span><span class=3Dlongtext> </span><span
class=3Dhps>that =
the value of</span><span class=3Dlongtext> </span><span =
class=3Dhps>(1</span><span class=3Dlongtext> </span><span =
class=3Dhps>Socket (s),</span><span class=3Dlongtext> </span><span
=
class=3Dhps>3</span><span class=3Dlongtext> </span><span =
class=3Dhps>Core (s) per Socket)</span><span class=3Dlongtext> =
</span><span class=3Dhps>means 3</span><span class=3Dlongtext> =
</span><span class=3Dhps>virtual</span><span class=3Dlongtext> =
</span><span class=3Dhps>CPU on</span><span class=3Dlongtext> =
</span><span class=3Dhps>a</span><span class=3Dlongtext>
</span><span =
class=3Dhps>physical</span><span class=3Dlongtext> </span><span =
class=3Dhps>processor core</span><span class=3Dlongtext>
</span><span =
class=3Dhps>nodes</span><span
class=3Dlongtext>?</span><br><span =
class=3Dhps>Number of CPU</span><span class=3Dlongtext>
</span><span =
class=3Dhps>Cres</span><span class=3Dlongtext>: </span><span =
class=3Dhps>2 (2</span><span class=3Dlongtext> </span><span =
class=3Dhps>Socket (s),</span><span class=3Dlongtext> </span><span
=
class=3Dhps>1</span><span class=3Dlongtext> </span><span =
class=3Dhps>Core (s) per Socket) -</span><span class=3Dlongtext> =
</span><span class=3Dhps>the virtual machine</span><span =
class=3Dlongtext> </span><span class=3Dhps>is started</span><span
=
class=3Dlongtext> </span><span
class=3Dhps>successfully</span><br><span =
class=3Dhps>Number of CPU</span><span class=3Dlongtext>
</span><span =
class=3Dhps>Cres</span><span class=3Dlongtext>: 4 (2 </span><span
=
class=3Dhps>Socket (s),</span><span class=3Dlongtext> </span><span
=
class=3Dhps>2</span><span class=3Dlongtext> </span><span =
class=3Dhps>Core (s) per Socket) -</span><span class=3Dlongtext> =
</span><span class=3Dhps>error.</span><br><span
class=3Dhps>Number of =
CPU</span><span class=3Dlongtext> </span><span =
class=3Dhps>Cres</span><span class=3Dlongtext>: 2 (1 </span><span
=
class=3Dhps>Socket (s),</span><span class=3Dlongtext> </span><span
=
class=3Dhps>2</span><span class=3Dlongtext> </span><span =
class=3Dhps>Core (s) per Socket) -</span><span class=3Dlongtext> =
</span><span class=3Dhps>the successful
launch</span></span><span =
lang=3DEN-US><o:p></o:p></span></p></div></body></html>
------=_NextPart_001_0035_01CCEF52.24220DB0--
------=_NextPart_000_0034_01CCEF52.24220DB0
Content-Type: image/png;
name="fail.PNG"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
filename="fail.PNG"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------=_NextPart_000_0034_01CCEF52.24220DB0
Content-Type: image/png;
name="node.PNG"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
filename="node.PNG"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------=_NextPart_000_0034_01CCEF52.24220DB0
Content-Type: image/png;
name="vm.PNG"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
filename="vm.PNG"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------=_NextPart_000_0034_01CCEF52.24220DB0--
1:29 p.m.
This is a multi-part message in MIME format.
--------------050501020104000100050805
Content-Type: text/plain; charset=UTF-8; format=flowed
Content-Transfer-Encoding: 8bit
On 02/19/2012 08:02 PM, зоррыч wrote:
Hi
I set uptwonodesrunningovirt.
The configuration ofboth serversis identical (node.png).
when you create avirtual machine toasetting is per(vm.png). It
runssuccessfully.
Ifthe setting"Number of CPUCres," set to3(1Socket (s),3Core (s) per
Socket) (fail.png) - VMwill not start.ovirterror:
“Cannot run VM.There are no available running Hosts with enough cores
in VM's Cluster.”
Why not?
You cannot run a VM with more sockets than the host's cores.
Y.
Do I understand correctlythat the value of(1Socket (s),3Core (s) per
Socket)means 3virtualCPU onaphysicalprocessor corenodes?
Number of CPUCres: 2 (2Socket (s),1Core (s) per Socket) -the virtual
machineis startedsuccessfully
Number of CPUCres: 4 (2 Socket (s),2Core (s) per Socket) -error.
Number of CPUCres: 2 (1 Socket (s),2Core (s) per Socket) -the
successful launch
_______________________________________________
Users mailing list
Users(a)ovirt.org
http://lists.ovirt.org/mailman/listinfo/users
--------------050501020104000100050805
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: 8bit
<html>
<head>
<meta content="text/html; charset=UTF-8"
http-equiv="Content-Type">
</head>
<body bgcolor="#FFFFFF" text="#000000">
On 02/19/2012 08:02 PM, зоррыч wrote:
<blockquote cite="mid:003301ccef30$9d059840$d710c8c0$@megatrone.ru"
type="cite">
<meta http-equiv="Content-Type" content="text/html;
charset=UTF-8">
<meta name="Generator" content="Microsoft Word 14 (filtered
medium)">
<style><!--
/* Font Definitions */
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0cm;
margin-bottom:.0001pt;
font-size:11.0pt;
font-family:"Calibri","sans-serif";
mso-fareast-language:EN-US;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:blue;
text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-priority:99;
color:purple;
text-decoration:underline;}
span.EmailStyle17
{mso-style-type:personal-compose;
font-family:"Calibri","sans-serif";
color:windowtext;}
span.longtext
{mso-style-name:long_text;}
span.hps
{mso-style-name:hps;}
.MsoChpDefault
{mso-style-type:export-only;
font-family:"Calibri","sans-serif";
mso-fareast-language:EN-US;}
@page WordSection1
{size:612.0pt 792.0pt;
margin:2.0cm 42.5pt 2.0cm 3.0cm;}
div.WordSection1
{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif][if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]-->
<div class="WordSection1">
<p class="MsoNormal"><span
lang="EN-US">Hi<o:p></o:p></span></p>
<p class="MsoNormal"><span class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">I set up</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"> </span></span><span
class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">two</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"> </span></span><span
class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">nodes</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"> </span></span><span
class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">running</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"> </span></span><span
class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">ovirt</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">.</span></span><span
style="font-family:
"Arial","sans-serif"; color: rgb(51, 51,
51);" lang="EN"><br>
<span class="hps">The configuration of</span><span
class="longtext"> </span><span
class="hps">both servers</span><span
class="longtext"> </span><span
class="hps">is identical (</span><span
class="longtext">node.png).</span><br>
<span class="hps">when you create a</span><span
class="longtext"> </span><span
class="hps">virtual
machine to</span><span class="longtext">
</span><span
class="hps">a</span><span
class="longtext"> </span><span
class="hps">setting is per</span><span
class="longtext"> </span><span
class="hps">(</span><span
class="longtext">vm.png). </span><span
class="hps">It runs</span><span
class="longtext"> </span><span
class="hps">successfully.</span><br>
<span class="hps">If</span><span
class="longtext"> </span><span
class="hps">the setting</span><span
class="longtext"> </span><span
class="hps">"Number of CPU</span><span
class="longtext"> </span><span
class="hps">Cres</span><span
class="longtext">," </span><span
class="hps">set to</span><span
class="longtext"> </span><span
class="hps">3</span><span
class="longtext"> </span><span
class="hps">(1</span><span
class="longtext"> </span><span
class="hps">Socket (s),</span><span
class="longtext"> </span><span
class="hps">3</span><span
class="longtext"> </span><span
class="hps">Core (s) per Socket) (</span><span
class="longtext">fail.png) - </span><span
class="hps">VM</span><span
class="longtext"> </span><span
class="hps">will not
start.</span><span class="longtext">
</span><span
class="hps">ovirt</span><span
class="longtext"> </span><span
class="hps">error:</span><br>
<span class="hps">“Cannot run VM.</span><span
class="longtext"> </span><span
class="hps">There are no
available running Hosts with enough cores in VM's
Cluster.”</span><br>
<span class="hps">Why not?</span><br>
</span></p>
</div>
</blockquote>
<br>
You cannot run a VM with more sockets than the host's cores.<br>
Y.<br>
<br>
<blockquote cite="mid:003301ccef30$9d059840$d710c8c0$@megatrone.ru"
type="cite">
<div class="WordSection1">
<p class="MsoNormal"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"><br>
<span class="hps">Do I understand
correctly</span><span
class="longtext"> </span><span
class="hps">that the value
of</span><span class="longtext"> </span><span
class="hps">(1</span><span
class="longtext"> </span><span
class="hps">Socket (s),</span><span
class="longtext"> </span><span
class="hps">3</span><span
class="longtext"> </span><span
class="hps">Core (s) per
Socket)</span><span class="longtext">
</span><span
class="hps">means 3</span><span
class="longtext"> </span><span
class="hps">virtual</span><span
class="longtext"> </span><span
class="hps">CPU on</span><span
class="longtext"> </span><span
class="hps">a</span><span
class="longtext"> </span><span
class="hps">physical</span><span
class="longtext"> </span><span
class="hps">processor core</span><span
class="longtext"> </span><span
class="hps">nodes</span><span
class="longtext">?</span><br>
<span class="hps">Number of CPU</span><span
class="longtext">
</span><span class="hps">Cres</span><span
class="longtext">:
</span><span class="hps">2 (2</span><span
class="longtext">
</span><span class="hps">Socket
(s),</span><span
class="longtext"> </span><span
class="hps">1</span><span
class="longtext"> </span><span
class="hps">Core (s) per
Socket) -</span><span class="longtext">
</span><span
class="hps">the virtual machine</span><span
class="longtext"> </span><span
class="hps">is started</span><span
class="longtext"> </span><span
class="hps">successfully</span><br>
<span class="hps">Number of CPU</span><span
class="longtext">
</span><span class="hps">Cres</span><span
class="longtext">:
4 (2 </span><span class="hps">Socket
(s),</span><span
class="longtext"> </span><span
class="hps">2</span><span
class="longtext"> </span><span
class="hps">Core (s) per
Socket) -</span><span class="longtext">
</span><span
class="hps">error.</span><br>
<span class="hps">Number of CPU</span><span
class="longtext">
</span><span class="hps">Cres</span><span
class="longtext">:
2 (1 </span><span class="hps">Socket
(s),</span><span
class="longtext"> </span><span
class="hps">2</span><span
class="longtext"> </span><span
class="hps">Core (s) per
Socket) -</span><span class="longtext">
</span><span
class="hps">the successful
launch</span></span><span
lang="EN-US"><o:p></o:p></span></p>
</div>
<br>
<fieldset class="mimeAttachmentHeader"></fieldset>
<br>
<pre wrap="">_______________________________________________
Users mailing list
<a class="moz-txt-link-abbreviated"
href="mailto:Users@ovirt.org">Users@ovirt.org</a>
<a class="moz-txt-link-freetext"
href="http://lists.ovirt.org/mailman/listinfo/users">http://...
</pre>
</blockquote>
<br>
</body>
</html>
--------------050501020104000100050805--
3:34 p.m.
This is a multipart message in MIME format.
------=_NextPart_000_0047_01CCEF6F.DB1CD550
Content-Type: multipart/alternative;
boundary="----=_NextPart_001_0048_01CCEF6F.DB1CD550"
------=_NextPart_001_0048_01CCEF6F.DB1CD550
Content-Type: text/plain;
charset="utf-8"
Content-Transfer-Encoding: quoted-printable
You can explain in this case means that the field "Total Cores " and =
"CPU Sockets" in the menu to create a new virtual machine (cpu.png)?
=20
=20
=20
From: Yaniv Kaul [mailto:ykaul@redhat.com]=20
Sent: Sunday, February 19, 2012 11:29 PM
To: =D0=B7=D0=BE=D1=80=D1=80=D1=8B=D1=87
Cc: users(a)ovirt.org
Subject: Re: [Users] Virtual CPU
=20
On 02/19/2012 08:02 PM, =D0=B7=D0=BE=D1=80=D1=80=D1=8B=D1=87 wrote:=20
Hi
I set up two nodes running ovirt.
The configuration of both servers is identical (node.png).
when you create a virtual machine to a setting is per (vm.png). It runs =
successfully.
If the setting "Number of CPU Cres," set to 3 (1 Socket (s), 3 Core (s) =
per Socket) (fail.png) - VM will not start. ovirt error:
=E2=80=9CCannot run VM. There are no available running Hosts with enough =
cores in VM's Cluster.=E2=80=9D
Why not?
You cannot run a VM with more sockets than the host's cores.
Y.
Do I understand correctly that the value of (1 Socket (s), 3 Core (s) =
per Socket) means 3 virtual CPU on a physical processor core nodes?
Number of CPU Cres: 2 (2 Socket (s), 1 Core (s) per Socket) - the =
virtual machine is started successfully
Number of CPU Cres: 4 (2 Socket (s), 2 Core (s) per Socket) - error.
Number of CPU Cres: 2 (1 Socket (s), 2 Core (s) per Socket) - the =
successful launch
_______________________________________________
Users mailing list
Users(a)ovirt.org
http://lists.ovirt.org/mailman/listinfo/users
=20
------=_NextPart_001_0048_01CCEF6F.DB1CD550
Content-Type: text/html;
charset="utf-8"
Content-Transfer-Encoding: quoted-printable
<html xmlns:v=3D"urn:schemas-microsoft-com:vml" =
xmlns:o=3D"urn:schemas-microsoft-com:office:office" =
xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" =
xmlns=3D"http://www.w3.org/TR/REC-html40"><head>
<META HTTP-EQUIV=3D"Content-Type" CONTENT=3D"text/html; =
charset=3DUTF-8">
<meta name=3DGenerator content=3D"Microsoft Word 14 (filtered =
medium)"><style><!--
/* Font Definitions */
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:"Arial Unicode MS";
panose-1:2 11 6 4 2 2 2 2 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
@font-face
{font-family:Tahoma;
panose-1:2 11 6 4 3 5 4 4 2 4;}
@font-face
{font-family:Consolas;
panose-1:2 11 6 9 2 2 4 3 2 4;}
@font-face
{font-family:"\@Arial Unicode MS";
panose-1:2 11 6 4 2 2 2 2 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0cm;
margin-bottom:.0001pt;
font-size:11.0pt;
font-family:"Calibri","sans-serif";
color:black;
mso-fareast-language:EN-US;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:blue;
text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-priority:99;
color:purple;
text-decoration:underline;}
pre
{mso-style-priority:99;
=
mso-style-link:"=D0=A1=D1=82=D0=B0=D0=BD=D0=B4=D0=B0=D1=80=D1=82=D0=BD=D1=
=8B=D0=B9 HTML =D0=97=D0=BD=D0=B0=D0=BA";
margin:0cm;
margin-bottom:.0001pt;
font-size:10.0pt;
font-family:"Courier New";
color:black;}
span.EmailStyle17
{mso-style-type:personal;
font-family:"Calibri","sans-serif";
color:windowtext;}
span.longtext
{mso-style-name:long_text;}
span.hps
{mso-style-name:hps;}
span.HTML
=
{mso-style-name:"=D0=A1=D1=82=D0=B0=D0=BD=D0=B4=D0=B0=D1=80=D1=82=D0=BD=D1=
=8B=D0=B9 HTML =D0=97=D0=BD=D0=B0=D0=BA";
mso-style-priority:99;
=
mso-style-link:"=D0=A1=D1=82=D0=B0=D0=BD=D0=B4=D0=B0=D1=80=D1=82=D0=BD=D1=
=8B=D0=B9 HTML";
font-family:Consolas;
color:black;
mso-fareast-language:EN-US;}
span.EmailStyle22
{mso-style-type:personal-reply;
font-family:"Calibri","sans-serif";
color:#1F497D;}
.MsoChpDefault
{mso-style-type:export-only;
font-size:10.0pt;}
@page WordSection1
{size:612.0pt 792.0pt;
margin:2.0cm 42.5pt 2.0cm 3.0cm;}
div.WordSection1
{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext=3D"edit">
<o:idmap v:ext=3D"edit" data=3D"1" />
</o:shapelayout></xml><![endif]--></head><body bgcolor=3Dwhite
lang=3DRU =
link=3Dblue vlink=3Dpurple><div class=3DWordSection1><p =
class=3DMsoNormal><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>You
=
can</span></span
<span class=3Dlongtext><span
lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>
=
</span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>explain</span></=
span<span class=3Dlongtext><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>
=
</span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>in
this =
case</span></span<span class=3Dlongtext><span
lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>
=
</span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>means</span></sp=
an<span class=3Dlongtext><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>
=
</span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>that
=
the</span></span<span class=3Dlongtext><span
lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>
=
</span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>field
=
"</span></span<span class=3Dlongtext><span
lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>Total
Cores =
" and </span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>"</span></s=
pan><span lang=3DEN-US
style=3D'font-family:"Arial","sans-serif"'>CPU =
Sockets</span<span class=3Dlongtext><span
lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>"
=C2=A0in =
the menu </span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>to
create a =
new</span></span<span class=3Dlongtext><span
lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>
=
</span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>virtual
machine =
(</span></span<span class=3Dlongtext><span
lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>cpu.png)?<o:p></=
o:p></span></span></p><p class=3DMsoNormal><span
class=3Dlongtext><span =
lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'><o:p> </o:p=
</span></span></p><p
class=3DMsoNormal><span lang=3DEN-US =
style=3D'color:#1F497D'><o:p> </o:p></span></p><p
=
class=3DMsoNormal><span lang=3DEN-US =
style=3D'color:#1F497D'><o:p> </o:p></span></p><div><div
=
style=3D'border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0cm =
0cm 0cm'><p class=3DMsoNormal><b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif";color:windowt=
ext;mso-fareast-language:RU'>From:</span></b><span =
style=3D'font-size:10.0pt;font-family:"Tahoma","sans-serif";color:windowt=
ext;mso-fareast-language:RU'> Yaniv Kaul [mailto:ykaul@redhat.com] =
<br><b>Sent:</b> Sunday, February 19, 2012 11:29
PM<br><b>To:</b> =
=D0=B7=D0=BE=D1=80=D1=80=D1=8B=D1=87<br><b>Cc:</b> =
users@ovirt.org<br><b>Subject:</b> Re: [Users] Virtual =
CPU<o:p></o:p></span></p></div></div><p =
class=3DMsoNormal><o:p> </o:p></p><p
class=3DMsoNormal>On =
02/19/2012 08:02 PM, =D0=B7=D0=BE=D1=80=D1=80=D1=8B=D1=87 wrote: =
<o:p></o:p></p><p class=3DMsoNormal><span =
lang=3DEN-US>Hi</span><o:p></o:p></p><p
class=3DMsoNormal><span =
class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>I
set =
up</span></span<span class=3Dlongtext><span
lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>
=
</span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>two</span></span=
<span class=3Dlongtext><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>
=
</span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>nodes</span></sp=
an<span class=3Dlongtext><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>
=
</span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>running</span></=
span<span class=3Dlongtext><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>
=
</span></span><span class=3Dhps><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>ovirt</span></sp=
an<span class=3Dlongtext><span lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'>.</span></span><=
span lang=3DEN
style=3D'font-family:"Arial","sans-serif"'><br><span
=
class=3Dhps>The configuration of</span><span class=3Dlongtext> =
</span><span class=3Dhps>both servers</span><span
class=3Dlongtext> =
</span><span class=3Dhps>is identical (</span><span =
class=3Dlongtext>node.png).</span><br><span class=3Dhps>when you
create =
a</span><span class=3Dlongtext> </span><span class=3Dhps>virtual
machine =
to</span><span class=3Dlongtext> </span><span
class=3Dhps>a</span><span =
class=3Dlongtext> </span><span class=3Dhps>setting is
per</span><span =
class=3Dlongtext> </span><span class=3Dhps>(</span><span =
class=3Dlongtext>vm.png). </span><span class=3Dhps>It
runs</span><span =
class=3Dlongtext> </span><span
class=3Dhps>successfully.</span><br><span =
class=3Dhps>If</span><span class=3Dlongtext> </span><span =
class=3Dhps>the setting</span><span class=3Dlongtext> </span><span
=
class=3Dhps>"Number of CPU</span><span class=3Dlongtext> =
</span><span class=3Dhps>Cres</span><span
class=3Dlongtext>," =
</span><span class=3Dhps>set to</span><span class=3Dlongtext> =
</span><span class=3Dhps>3</span><span class=3Dlongtext>
</span><span =
class=3Dhps>(1</span><span class=3Dlongtext> </span><span =
class=3Dhps>Socket (s),</span><span class=3Dlongtext> </span><span
=
class=3Dhps>3</span><span class=3Dlongtext> </span><span =
class=3Dhps>Core (s) per Socket) (</span><span =
class=3Dlongtext>fail.png) - </span><span
class=3Dhps>VM</span><span =
class=3Dlongtext> </span><span class=3Dhps>will not
start.</span><span =
class=3Dlongtext> </span><span class=3Dhps>ovirt</span><span =
class=3Dlongtext> </span><span
class=3Dhps>error:</span><br><span =
class=3Dhps>=E2=80=9CCannot run VM.</span><span class=3Dlongtext> =
</span><span class=3Dhps>There are no available running Hosts with =
enough cores in VM's Cluster.=E2=80=9D</span><br><span
class=3Dhps>Why =
not?</span><br><br></span><o:p></o:p></p><p
class=3DMsoNormal><span =
style=3D'font-size:12.0pt;font-family:"Times New =
Roman","serif";mso-fareast-language:RU'><br>You cannot run a
VM with =
more sockets than the host's =
cores.<br>Y.<br><br><br><o:p></o:p></span></p><p
class=3DMsoNormal><span =
lang=3DEN =
style=3D'font-family:"Arial","sans-serif";color:#333333'><br><span
=
class=3Dhps>Do I understand correctly</span><span class=3Dlongtext> =
</span><span class=3Dhps>that the value of</span><span
class=3Dlongtext> =
</span><span class=3Dhps>(1</span><span class=3Dlongtext>
</span><span =
class=3Dhps>Socket (s),</span><span class=3Dlongtext> </span><span
=
class=3Dhps>3</span><span class=3Dlongtext> </span><span =
class=3Dhps>Core (s) per Socket)</span><span class=3Dlongtext> =
</span><span class=3Dhps>means 3</span><span class=3Dlongtext> =
</span><span class=3Dhps>virtual</span><span class=3Dlongtext> =
</span><span class=3Dhps>CPU on</span><span class=3Dlongtext> =
</span><span class=3Dhps>a</span><span class=3Dlongtext>
</span><span =
class=3Dhps>physical</span><span class=3Dlongtext> </span><span =
class=3Dhps>processor core</span><span class=3Dlongtext>
</span><span =
class=3Dhps>nodes</span><span
class=3Dlongtext>?</span><br><span =
class=3Dhps>Number of CPU</span><span class=3Dlongtext>
</span><span =
class=3Dhps>Cres</span><span class=3Dlongtext>: </span><span =
class=3Dhps>2 (2</span><span class=3Dlongtext> </span><span =
class=3Dhps>Socket (s),</span><span class=3Dlongtext> </span><span
=
class=3Dhps>1</span><span class=3Dlongtext> </span><span =
class=3Dhps>Core (s) per Socket) -</span><span class=3Dlongtext> =
</span><span class=3Dhps>the virtual machine</span><span =
class=3Dlongtext> </span><span class=3Dhps>is started</span><span
=
class=3Dlongtext> </span><span
class=3Dhps>successfully</span><br><span =
class=3Dhps>Number of CPU</span><span class=3Dlongtext>
</span><span =
class=3Dhps>Cres</span><span class=3Dlongtext>: 4 (2 </span><span
=
class=3Dhps>Socket (s),</span><span class=3Dlongtext> </span><span
=
class=3Dhps>2</span><span class=3Dlongtext> </span><span =
class=3Dhps>Core (s) per Socket) -</span><span class=3Dlongtext> =
</span><span class=3Dhps>error.</span><br><span
class=3Dhps>Number of =
CPU</span><span class=3Dlongtext> </span><span =
class=3Dhps>Cres</span><span class=3Dlongtext>: 2 (1 </span><span
=
class=3Dhps>Socket (s),</span><span class=3Dlongtext> </span><span
=
class=3Dhps>2</span><span class=3Dlongtext> </span><span =
class=3Dhps>Core (s) per Socket) -</span><span class=3Dlongtext> =
</span><span class=3Dhps>the successful =
launch</span></span><o:p></o:p></p><p
class=3DMsoNormal><span =
style=3D'font-size:12.0pt;font-family:"Times New =
Roman","serif";mso-fareast-language:RU'><br><br><br><o:p></o:p></span></p=
<pre>_______________________________________________<o:p></o:p></pre><pr=
e>Users mailing list<o:p></o:p></pre><pre><a =
href=3D"mailto:Users@ovirt.org">Users@ovirt.org</a><o:p></o:p></pre><pre>=
<a =
href=3D"http://lists.ovirt.org/mailman/listinfo/users">http:...
.org/mailman/listinfo/users</a><o:p></o:p></pre><p =
class=3DMsoNormal><span style=3D'font-size:12.0pt;font-family:"Times New =
Roman","serif";mso-fareast-language:RU'><o:p> </o:p></span></p></div=
</body></html>
------=_NextPart_001_0048_01CCEF6F.DB1CD550--
------=_NextPart_000_0047_01CCEF6F.DB1CD550
Content-Type: image/png;
name="cpu.PNG"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
filename="cpu.PNG"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==
------=_NextPart_000_0047_01CCEF6F.DB1CD550--
4:05 p.m.
----- Original Message -----
From: "зоррыч" <zorro(a)megatrone.ru>
To: "Yaniv Kaul" <ykaul(a)redhat.com>
Cc: users(a)ovirt.org
Sent: Sunday, February 19, 2012 4:34:57 PM
Subject: Re: [Users] Virtual CPU
You can explain in this case means that the field " Total Cores " and
" CPU Sockets " in the menu to create a new virtual machine (
cpu.png)?
Your virtual machine has 1 socket with a total of 2 cores.
From: Yaniv Kaul [mailto:ykaul@redhat.com]
Sent: Sunday, February 19, 2012 11:29 PM
To: зоррыч
Cc: users(a)ovirt.org
Subject: Re: [Users] Virtual CPU
On 02/19/2012 08:02 PM, зоррыч wrote:
Hi
I set up two nodes running ovirt .
The configuration of both servers is identical ( node.png).
when you create a virtual machine to a setting is per ( vm.png). It
runs successfully.
If the setting "Number of CPU Cres ," set to 3 (1 Socket (s), 3 Core
(s) per Socket) ( fail.png) - VM will not start. ovirt error:
“Cannot run VM. There are no available running Hosts with enough
cores in VM's Cluster.”
Why not?
You cannot run a VM with more sockets than the host's cores.
Y.
Do I understand correctly that the value of (1 Socket (s), 3 Core (s)
per Socket) means 3 virtual CPU on a physical processor core nodes ?
Number of CPU Cres : 2 (2 Socket (s), 1 Core (s) per Socket) - the
virtual machine is started successfully
Number of CPU Cres : 4 (2 Socket (s), 2 Core (s) per Socket) - error.
Number of CPU Cres : 2 (1 Socket (s), 2 Core (s) per Socket) - the
successful launch
_______________________________________________ Users mailing list
Users(a)ovirt.org http://lists.ovirt.org/mailman/listinfo/users
_______________________________________________
Users mailing list
Users(a)ovirt.org
http://lists.ovirt.org/mailman/listinfo/users
12:16 a.m.
This is a multi-part message in MIME format.
--------------020604020608000608090609
Content-Type: text/plain; charset=UTF-8; format=flowed
Content-Transfer-Encoding: 8bit
On 2012-2-20 2:02, зоррыч wrote:
Hi
I set uptwonodesrunningovirt.
The configuration ofboth serversis identical (node.png).
when you create avirtual machine toasetting is per(vm.png). It
runssuccessfully.
Ifthe setting"Number of CPUCres," set to3(1Socket (s),3Core (s) per
Socket) (fail.png) - VMwill not start.ovirterror:
“Cannot run VM.There are no available running Hosts with enough cores
in VM's Cluster.”
Why not?
Do I understand correctlythat the value of(1Socket (s),3Core (s) per
Socket)means 3virtualCPU onaphysicalprocessor corenodes?
Number of CPUCres: 2 (2Socket (s),1Core (s) per Socket) -the virtual
machineis startedsuccessfully
Number of CPUCres: 4 (2 Socket (s),2Core (s) per Socket) -error.
Number of CPUCres: 2 (1 Socket (s),2Core (s) per Socket) -the
successful launch
_______________________________________________
Users mailing list
Users(a)ovirt.org
http://lists.ovirt.org/mailman/listinfo/users
The number of active VMs is bigger
than the physical cores in the host.
--
Shu Ming<shuming(a)linux.vnet.ibm.com>
IBM China Systems and Technology Laboratory
--------------020604020608000608090609
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: 8bit
<html>
<head>
<meta content="text/html; charset=UTF-8"
http-equiv="Content-Type">
</head>
<body bgcolor="#FFFFFF" text="#000000">
On 2012-2-20 2:02, зоррыч wrote:
<blockquote cite="mid:003301ccef30$9d059840$d710c8c0$@megatrone.ru"
type="cite">
<meta http-equiv="Content-Type" content="text/html;
charset=UTF-8">
<meta name="Generator" content="Microsoft Word 14 (filtered
medium)">
<style><!--
/* Font Definitions */
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0cm;
margin-bottom:.0001pt;
font-size:11.0pt;
font-family:"Calibri","sans-serif";
mso-fareast-language:EN-US;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:blue;
text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-priority:99;
color:purple;
text-decoration:underline;}
span.EmailStyle17
{mso-style-type:personal-compose;
font-family:"Calibri","sans-serif";
color:windowtext;}
span.longtext
{mso-style-name:long_text;}
span.hps
{mso-style-name:hps;}
.MsoChpDefault
{mso-style-type:export-only;
font-family:"Calibri","sans-serif";
mso-fareast-language:EN-US;}
@page WordSection1
{size:612.0pt 792.0pt;
margin:2.0cm 42.5pt 2.0cm 3.0cm;}
div.WordSection1
{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]-->
<div class="WordSection1">
<p class="MsoNormal"><span
lang="EN-US">Hi<o:p></o:p></span></p>
<p class="MsoNormal"><span class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">I set up</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"> </span></span><span
class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">two</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"> </span></span><span
class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">nodes</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"> </span></span><span
class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">running</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"> </span></span><span
class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">ovirt</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">.</span></span><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"><br>
<span class="hps">The configuration of</span><span
class="longtext"> </span><span
class="hps">both servers</span><span
class="longtext"> </span><span
class="hps">is identical (</span><span
class="longtext">node.png).</span><br>
<span class="hps">when you create a</span><span
class="longtext"> </span><span
class="hps">virtual
machine to</span><span class="longtext">
</span><span
class="hps">a</span><span
class="longtext"> </span><span
class="hps">setting is per</span><span
class="longtext"> </span><span
class="hps">(</span><span
class="longtext">vm.png). </span><span
class="hps">It runs</span><span
class="longtext"> </span><span
class="hps">successfully.</span><br>
<span class="hps">If</span><span
class="longtext"> </span><span
class="hps">the setting</span><span
class="longtext"> </span><span
class="hps">"Number of CPU</span><span
class="longtext"> </span><span
class="hps">Cres</span><span
class="longtext">," </span><span
class="hps">set to</span><span
class="longtext"> </span><span
class="hps">3</span><span
class="longtext"> </span><span
class="hps">(1</span><span
class="longtext"> </span><span
class="hps">Socket (s),</span><span
class="longtext"> </span><span
class="hps">3</span><span
class="longtext"> </span><span
class="hps">Core (s) per Socket) (</span><span
class="longtext">fail.png) - </span><span
class="hps">VM</span><span
class="longtext"> </span><span
class="hps">will not
start.</span><span class="longtext">
</span><span
class="hps">ovirt</span><span
class="longtext"> </span><span
class="hps">error:</span><br>
<span class="hps">“Cannot run VM.</span><span
class="longtext"> </span><span
class="hps">There are no
available running Hosts with enough cores in VM's
Cluster.”</span><br>
<span class="hps">Why not?</span><br>
<br>
<span class="hps">Do I understand
correctly</span><span
class="longtext"> </span><span
class="hps">that the value
of</span><span class="longtext"> </span><span
class="hps">(1</span><span
class="longtext"> </span><span
class="hps">Socket (s),</span><span
class="longtext"> </span><span
class="hps">3</span><span
class="longtext"> </span><span
class="hps">Core (s) per
Socket)</span><span class="longtext">
</span><span
class="hps">means 3</span><span
class="longtext"> </span><span
class="hps">virtual</span><span
class="longtext"> </span><span
class="hps">CPU on</span><span
class="longtext"> </span><span
class="hps">a</span><span
class="longtext"> </span><span
class="hps">physical</span><span
class="longtext"> </span><span
class="hps">processor core</span><span
class="longtext"> </span><span
class="hps">nodes</span><span
class="longtext">?</span><br>
<span class="hps">Number of CPU</span><span
class="longtext">
</span><span class="hps">Cres</span><span
class="longtext">:
</span><span class="hps">2 (2</span><span
class="longtext">
</span><span class="hps">Socket
(s),</span><span
class="longtext"> </span><span
class="hps">1</span><span
class="longtext"> </span><span
class="hps">Core (s) per
Socket) -</span><span class="longtext">
</span><span
class="hps">the virtual machine</span><span
class="longtext"> </span><span
class="hps">is started</span><span
class="longtext"> </span><span
class="hps">successfully</span><br>
<span class="hps">Number of CPU</span><span
class="longtext">
</span><span class="hps">Cres</span><span
class="longtext">:
4 (2 </span><span class="hps">Socket
(s),</span><span
class="longtext"> </span><span
class="hps">2</span><span
class="longtext"> </span><span
class="hps">Core (s) per
Socket) -</span><span class="longtext">
</span><span
class="hps">error.</span><br>
<span class="hps">Number of CPU</span><span
class="longtext">
</span><span class="hps">Cres</span><span
class="longtext">:
2 (1 </span><span class="hps">Socket
(s),</span><span
class="longtext"> </span><span
class="hps">2</span><span
class="longtext"> </span><span
class="hps">Core (s) per
Socket) -</span><span class="longtext">
</span><span
class="hps">the successful
launch</span></span><span
lang="EN-US"><o:p></o:p></span></p>
</div>
<br>
<fieldset class="mimeAttachmentHeader"></fieldset>
<br>
<pre wrap="">_______________________________________________
Users mailing list
<a class="moz-txt-link-abbreviated"
href="mailto:Users@ovirt.org">Users@ovirt.org</a>
<a class="moz-txt-link-freetext"
href="http://lists.ovirt.org/mailman/listinfo/users">http://...
</pre>
</blockquote>
The number of active VMs is bigger than the physical cores in the
host.<br>
<br>
<pre class="moz-signature" cols="72">--
Shu Ming <a class="moz-txt-link-rfc2396E"
href="mailto:shuming@linux.vnet.ibm.com"><shuming@linux.vnet.ibm.com></a>
IBM China Systems and Technology Laboratory</pre>
</body>
</html>
--------------020604020608000608090609--
3:35 a.m.
This is a multi-part message in MIME format.
--------------010406010205090509060807
Content-Type: text/plain; charset=UTF-8; format=flowed
Content-Transfer-Encoding: 8bit
On 02/20/2012 08:16 AM, Shu Ming wrote:
On 2012-2-20 2:02, зоррыч wrote:
>
> Hi
>
> I set uptwonodesrunningovirt.
> The configuration ofboth serversis identical (node.png).
> when you create avirtual machine toasetting is per(vm.png). It
> runssuccessfully.
> Ifthe setting"Number of CPUCres," set to3(1Socket (s),3Core (s) per
> Socket) (fail.png) - VMwill not start.ovirterror:
> “Cannot run VM.There are no available running Hosts with enough cores
> in VM's Cluster.”
> Why not?
>
> Do I understand correctlythat the value of(1Socket (s),3Core (s) per
> Socket)means 3virtualCPU onaphysicalprocessor corenodes?
> Number of CPUCres: 2 (2Socket (s),1Core (s) per Socket) -the virtual
> machineis startedsuccessfully
> Number of CPUCres: 4 (2 Socket (s),2Core (s) per Socket) -error.
> Number of CPUCres: 2 (1 Socket (s),2Core (s) per Socket) -the
> successful launch
>
>
>
> _______________________________________________
> Users mailing list
> Users(a)ovirt.org
> http://lists.ovirt.org/mailman/listinfo/users
The number of active VMs is bigger than the physical cores in the host.
This is not an accurate statement. You could run, for example, 5 single
vCPU VMs on a 4 core hypervisor.
Y.
--
Shu Ming<shuming(a)linux.vnet.ibm.com>
IBM China Systems and Technology Laboratory
_______________________________________________
Users mailing list
Users(a)ovirt.org
http://lists.ovirt.org/mailman/listinfo/users
--------------010406010205090509060807
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: 8bit
<html>
<head>
<meta content="text/html; charset=UTF-8"
http-equiv="Content-Type">
</head>
<body bgcolor="#FFFFFF" text="#000000">
On 02/20/2012 08:16 AM, Shu Ming wrote:
<blockquote cite="mid:4F41E525.4030301@linux.vnet.ibm.com"
type="cite">
<meta content="text/html; charset=UTF-8"
http-equiv="Content-Type">
On 2012-2-20 2:02, зоррыч wrote:
<blockquote
cite="mid:003301ccef30$9d059840$d710c8c0$@megatrone.ru"
type="cite">
<meta http-equiv="Content-Type" content="text/html;
charset=UTF-8">
<meta name="Generator" content="Microsoft Word 14 (filtered
medium)">
<style><!--
/* Font Definitions */
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0cm;
margin-bottom:.0001pt;
font-size:11.0pt;
font-family:"Calibri","sans-serif";
mso-fareast-language:EN-US;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:blue;
text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-priority:99;
color:purple;
text-decoration:underline;}
span.EmailStyle17
{mso-style-type:personal-compose;
font-family:"Calibri","sans-serif";
color:windowtext;}
span.longtext
{mso-style-name:long_text;}
span.hps
{mso-style-name:hps;}
.MsoChpDefault
{mso-style-type:export-only;
font-family:"Calibri","sans-serif";
mso-fareast-language:EN-US;}
@page WordSection1
{size:612.0pt 792.0pt;
margin:2.0cm 42.5pt 2.0cm 3.0cm;}
div.WordSection1
{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]-->
<div class="WordSection1">
<p class="MsoNormal"><span
lang="EN-US">Hi<o:p></o:p></span></p>
<p class="MsoNormal"><span class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">I set up</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"> </span></span><span
class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">two</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"> </span></span><span
class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">nodes</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"> </span></span><span
class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">running</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"> </span></span><span
class="hps"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">ovirt</span></span><span
class="longtext"><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN">.</span></span><span
style="font-family:"Arial","sans-serif";color:#333333"
lang="EN"><br>
<span class="hps">The configuration of</span><span
class="longtext"> </span><span
class="hps">both servers</span><span
class="longtext"> </span><span
class="hps">is identical
(</span><span
class="longtext">node.png).</span><br>
<span class="hps">when you create a</span><span
class="longtext"> </span><span
class="hps">virtual
machine to</span><span class="longtext">
</span><span
class="hps">a</span><span
class="longtext"> </span><span
class="hps">setting is per</span><span
class="longtext">
</span><span class="hps">(</span><span
class="longtext">vm.png).
</span><span class="hps">It runs</span><span
class="longtext"> </span><span
class="hps">successfully.</span><br>
<span class="hps">If</span><span
class="longtext"> </span><span
class="hps">the setting</span><span
class="longtext"> </span><span
class="hps">"Number of CPU</span><span
class="longtext">
</span><span class="hps">Cres</span><span
class="longtext">,"
</span><span class="hps">set to</span><span
class="longtext"> </span><span
class="hps">3</span><span
class="longtext"> </span><span
class="hps">(1</span><span
class="longtext"> </span><span
class="hps">Socket (s),</span><span
class="longtext"> </span><span
class="hps">3</span><span
class="longtext"> </span><span
class="hps">Core (s) per
Socket) (</span><span class="longtext">fail.png) -
</span><span
class="hps">VM</span><span
class="longtext"> </span><span
class="hps">will not start.</span><span
class="longtext">
</span><span class="hps">ovirt</span><span
class="longtext"> </span><span
class="hps">error:</span><br>
<span class="hps">“Cannot run VM.</span><span
class="longtext"> </span><span
class="hps">There are no
available running Hosts with enough cores in VM's
Cluster.”</span><br>
<span class="hps">Why not?</span><br>
<br>
<span class="hps">Do I understand
correctly</span><span
class="longtext"> </span><span
class="hps">that the
value of</span><span class="longtext">
</span><span
class="hps">(1</span><span
class="longtext"> </span><span
class="hps">Socket (s),</span><span
class="longtext"> </span><span
class="hps">3</span><span
class="longtext"> </span><span
class="hps">Core (s) per Socket)</span><span
class="longtext"> </span><span
class="hps">means 3</span><span
class="longtext"> </span><span
class="hps">virtual</span><span
class="longtext"> </span><span
class="hps">CPU on</span><span
class="longtext"> </span><span
class="hps">a</span><span
class="longtext"> </span><span
class="hps">physical</span><span
class="longtext"> </span><span
class="hps">processor
core</span><span class="longtext">
</span><span
class="hps">nodes</span><span
class="longtext">?</span><br>
<span class="hps">Number of CPU</span><span
class="longtext"> </span><span
class="hps">Cres</span><span
class="longtext">: </span><span
class="hps">2 (2</span><span
class="longtext"> </span><span
class="hps">Socket (s),</span><span
class="longtext"> </span><span
class="hps">1</span><span
class="longtext"> </span><span
class="hps">Core (s) per
Socket) -</span><span class="longtext">
</span><span
class="hps">the virtual machine</span><span
class="longtext"> </span><span
class="hps">is started</span><span
class="longtext"> </span><span
class="hps">successfully</span><br>
<span class="hps">Number of CPU</span><span
class="longtext"> </span><span
class="hps">Cres</span><span
class="longtext">: 4 (2 </span><span
class="hps">Socket
(s),</span><span class="longtext">
</span><span
class="hps">2</span><span
class="longtext"> </span><span
class="hps">Core (s) per Socket) -</span><span
class="longtext"> </span><span
class="hps">error.</span><br>
<span class="hps">Number of CPU</span><span
class="longtext"> </span><span
class="hps">Cres</span><span
class="longtext">: 2 (1 </span><span
class="hps">Socket
(s),</span><span class="longtext">
</span><span
class="hps">2</span><span
class="longtext"> </span><span
class="hps">Core (s) per Socket) -</span><span
class="longtext"> </span><span
class="hps">the
successful launch</span></span><span
lang="EN-US"><o:p></o:p></span></p>
</div>
<br>
<fieldset class="mimeAttachmentHeader"></fieldset>
<br>
<pre wrap="">_______________________________________________
Users mailing list
<a moz-do-not-send="true" class="moz-txt-link-abbreviated"
href="mailto:Users@ovirt.org">Users@ovirt.org</a>
<a moz-do-not-send="true" class="moz-txt-link-freetext"
href="http://lists.ovirt.org/mailman/listinfo/users">http://...
</pre>
</blockquote>
The number of active VMs is bigger than the physical cores in the
host.<br>
</blockquote>
<br>
This is not an accurate statement. You could run, for example, 5
single vCPU VMs on a 4 core hypervisor.<br>
Y.<br>
<br>
<blockquote cite="mid:4F41E525.4030301@linux.vnet.ibm.com"
type="cite"> <br>
<pre class="moz-signature" cols="72">--
Shu Ming <a moz-do-not-send="true" class="moz-txt-link-rfc2396E"
href="mailto:shuming@linux.vnet.ibm.com"><shuming@linux.vnet.ibm.com></a>
IBM China Systems and Technology Laboratory</pre>
<br>
<fieldset class="mimeAttachmentHeader"></fieldset>
<br>
<pre wrap="">_______________________________________________
Users mailing list
<a class="moz-txt-link-abbreviated"
href="mailto:Users@ovirt.org">Users@ovirt.org</a>
<a class="moz-txt-link-freetext"
href="http://lists.ovirt.org/mailman/listinfo/users">http://...
</pre>
</blockquote>
<br>
</body>
</html>
--------------010406010205090509060807--
4443
days inactive
4444
days old
5 comments
4 participants
participants (4)
-
Andrew Cathrow -
Shu Ming -
Yaniv Kaul -
зоррыч