[openstack-dev] 答复: [nova][ceilometer][gantt] Dynamic scheduling

2014-04-25 Thread Jiangying (Jenny)
Exactly. Thank you for your clarification.
This is part of my job and my company would like to contribute to openstack.
Also I hope we can have more  discussion about scheduling.

发件人: Henrique Truta [mailto:henriquecostatr...@gmail.com]
发送时间: 2014年4月25日 1:16
收件人: OpenStack Development Mailing List (not for usage questions)
主题: Re: [openstack-dev] [nova][ceilometer][gantt] Dynamic scheduling

Donald,
By selection, I think Jenny means identifying whether and which active VM 
should be migrated, once the current Nova scheduler only deals with the VM in 
the momment of its creation or with a specific user input.

2014-04-24 12:08 GMT-03:00 Dugger, Donald D 
donald.d.dug...@intel.commailto:donald.d.dug...@intel.com:
Jenny-

You should look at the `Propose Scheduler Library blueprint’:

https://review.openstack.org/#/c/82133/9

This BP is to create a client library for making calls to the scheduler.  If 
you base your work upon this library then you shouldn’t need to care about 
whether the Core Scheduler is the Nova integrated scheduler or the Gantt 
separated scheduler, the library will call `a` scheduler as appropriate.

Having said that, I’m not sure I understand the distinction you are seeing 
between `selection’ and `placement’.  The current scheduler filters all hosts 
based upon filters (the selection part) and then the weighting function finds 
the best node to host the VM (the placement part).  Seems to me the current 
scheduler does both of those tasks.  (We can argue the effectiveness/efficiency 
of the current implementation but I think it’s functionally complete.)

Also, have you proposed a session at the Juno summit on your proposal for 
dynamic scheduling, seems like it would be appropriate.

--
Don Dugger
Censeo Toto nos in Kansa esse decisse. - D. Gale
Ph: 303/443-3786

From: Jiangying (Jenny) 
[mailto:jenny.jiangy...@huawei.commailto:jenny.jiangy...@huawei.com]
Sent: Thursday, April 24, 2014 3:36 AM
To: OpenStack Development Mailing List (not for usage questions)
Subject: Re: [openstack-dev] [nova][ceilometer][gantt] Dynamic scheduling

Hi,
We have checked that gantt now just made a synced up copy of the code in nova.
We still think dynamic scheduling will be a benefit of the nova scheduler (or 
gantt later). The main difference between static and dynamic scheduling is that 
static scheduling is a vm placement problem, while dynamic scheduling deals 
with both vm selection and vm placement.

Our scheduling mechanism consists of three parts:
1.   Controller, which triggers the scheduling;
2.   Data Collector, which collects the resource usage and topo for scheduling;
3.   Core Scheduler, which decides how to schedule the vms;

We prefer to reuse the nova scheduler as the Core Scheduler, in order to avoid 
the possible inconsistent between static scheduling and dynamic scheduling. The 
vm selection function will be added into nova scheduler. For Data Collector, we 
expect to get the performance data from ceilometer and topo from nova.

There is still one question that where the controller should be implemented?
We regard implementing the controller in nova scheduler as the first choice. 
And we also consider extending ceilometer.(Ie. When ceilometer discovers an 
overload host, an alarm can be reported and it can trigger a vm evacuate.)

Do you have any comments?

Jenny

发件人: Henrique Truta [mailto:henriquecostatr...@gmail.com]
发送时间: 2014年4月12日 1:00
收件人: OpenStack Development Mailing List (not for usage questions)
主题: Re: [openstack-dev] [nova] Dynamic scheduling

Is there anyone currently working on Neat/Gantt projects? I'd like to 
contribute to them, as well.

2014-04-11 11:37 GMT-03:00 Andrew Laski 
andrew.la...@rackspace.commailto:andrew.la...@rackspace.com:
On 04/10/14 at 11:33pm, Oleg Gelbukh wrote:
Andrew,

Thank you for clarification!


On Thu, Apr 10, 2014 at 3:47 PM, Andrew Laski 
andrew.la...@rackspace.commailto:andrew.la...@rackspace.comwrote:


The scheduler as it currently exists is a placement engine.  There is
sufficient complexity in the scheduler with just that responsibility so I
would prefer to see anything that's making runtime decisions separated out.
 Perhaps it could just be another service within the scheduler project once
it's broken out, but I think it will be beneficial to have a clear
distinction between placement decisions and runtime monitoring.


Do you think that auto-scaling could be considered another facet of this
'runtime monitoring' functionality? Now it is a combination of Heat and
Ceilometer. Does it worth moving to hypothetical runtime mobility service
as well?

Auto-scaling is certainly a facet of runtime monitoring.  But auto-scaling 
performs actions based on a set of user defined rules and is very visible while 
the enhancements proposed below are intended to benefit deployers and be very 
invisible to users.  So the set of allowable actions is very constrained 
compared to what auto-scaling can do.
In my opinion what's being

Re: [openstack-dev] [nova][ceilometer][gantt] Dynamic scheduling

2014-04-24 Thread Jiangying (Jenny)
Hi,
We have checked that gantt now just made a synced up copy of the code in nova.
We still think dynamic scheduling will be a benefit of the nova scheduler (or 
gantt later). The main difference between static and dynamic scheduling is that 
static scheduling is a vm placement problem, while dynamic scheduling deals 
with both vm selection and vm placement.

Our scheduling mechanism consists of three parts:
1.   Controller, which triggers the scheduling;
2.   Data Collector, which collects the resource usage and topo for scheduling;
3.   Core Scheduler, which decides how to schedule the vms;

We prefer to reuse the nova scheduler as the Core Scheduler, in order to avoid 
the possible inconsistent between static scheduling and dynamic scheduling. The 
vm selection function will be added into nova scheduler. For Data Collector, we 
expect to get the performance data from ceilometer and topo from nova.

There is still one question that where the controller should be implemented?
We regard implementing the controller in nova scheduler as the first choice. 
And we also consider extending ceilometer.(Ie. When ceilometer discovers an 
overload host, an alarm can be reported and it can trigger a vm evacuate.)

Do you have any comments?

Jenny

发件人: Henrique Truta [mailto:henriquecostatr...@gmail.com]
发送时间: 2014年4月12日 1:00
收件人: OpenStack Development Mailing List (not for usage questions)
主题: Re: [openstack-dev] [nova] Dynamic scheduling

Is there anyone currently working on Neat/Gantt projects? I'd like to 
contribute to them, as well.

2014-04-11 11:37 GMT-03:00 Andrew Laski 
andrew.la...@rackspace.commailto:andrew.la...@rackspace.com:
On 04/10/14 at 11:33pm, Oleg Gelbukh wrote:
Andrew,

Thank you for clarification!


On Thu, Apr 10, 2014 at 3:47 PM, Andrew Laski 
andrew.la...@rackspace.commailto:andrew.la...@rackspace.comwrote:


The scheduler as it currently exists is a placement engine.  There is
sufficient complexity in the scheduler with just that responsibility so I
would prefer to see anything that's making runtime decisions separated out.
 Perhaps it could just be another service within the scheduler project once
it's broken out, but I think it will be beneficial to have a clear
distinction between placement decisions and runtime monitoring.


Do you think that auto-scaling could be considered another facet of this
'runtime monitoring' functionality? Now it is a combination of Heat and
Ceilometer. Does it worth moving to hypothetical runtime mobility service
as well?

Auto-scaling is certainly a facet of runtime monitoring.  But auto-scaling 
performs actions based on a set of user defined rules and is very visible while 
the enhancements proposed below are intended to benefit deployers and be very 
invisible to users.  So the set of allowable actions is very constrained 
compared to what auto-scaling can do.
In my opinion what's being proposed doesn't seem to fit cleanly into any 
existing service, so perhaps it could start as a standalone entity.  Then once 
there's something that can be used and demoed a proper place might suggest 
itself, or it might make sense to keep it separate.



--
Best regards,
Oleg Gelbukh



--
Best regards,
Oleg Gelbukh


On Wed, Apr 9, 2014 at 7:47 PM, Jay Lau 
jay.lau@gmail.commailto:jay.lau@gmail.com wrote:

 @Oleg, Till now, I'm not sure the target of Gantt, is it for initial
placement policy or run time policy or both, can you help clarify?

@Henrique, not sure if you know IBM PRS (Platform Resource Scheduler)
[1],
we have finished the dynamic scheduler in our Icehouse version (PRS
2.2),
it has exactly the same feature as your described, we are planning a live
demo for this feature in Atlanta Summit. I'm also writing some document
for
run time policy which will cover more run time policies for OpenStack,
but
not finished yet. (My shame for the slow progress). The related blueprint
is [2], you can also get some discussion from [3]

[1]
http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?infotype=
ANsubtype=CAhtmlfid=897/ENUS213-590appname=USN
[2]
https://blueprints.launchpad.net/nova/+spec/resource-
optimization-service
[3] http://markmail.org/~jaylau/OpenStack-DRS

Thanks.


2014-04-09 23:21 GMT+08:00 Oleg Gelbukh 
ogelb...@mirantis.commailto:ogelb...@mirantis.com:

Henrique,

You should check out Gantt project [1], it could be exactly the place to
implement such features. It is a generic cross-project Scheduler as a
Service forked from Nova recently.

[1] https://github.com/openstack/gantt

--
Best regards,
Oleg Gelbukh
Mirantis Labs


On Wed, Apr 9, 2014 at 6:41 PM, Henrique Truta 
henriquecostatr...@gmail.commailto:henriquecostatr...@gmail.com wrote:

 Hello, everyone!

I am currently a graduate student and member of a group of contributors
to OpenStack. We believe that a dynamic scheduler could improve the
efficiency of an OpenStack cloud, either by rebalancing nodes to
maximize
performance or to minimize the number of active hosts, in order to
minimize

Re: [openstack-dev] [heat][nova]dynamic scheduling

2014-04-15 Thread Jiangying (Jenny)
Sorry, I’m not quite clear about it yet.
I’m trying to find a way that heat controls the flow but not the nova scheduler.

发件人: Henrique Truta [mailto:henriquecostatr...@gmail.com]
发送时间: 2014年4月14日 21:39
收件人: OpenStack Development Mailing List (not for usage questions)
主题: Re: [openstack-dev] [heat][nova]dynamic scheduling

Hello!
I'm currently investigating both of these features you have mentioned, 
specifically on the NEAT[1] and GANTT[2] projects, as you might see on the last 
week discussion.
Do you have any further ideas about how and why this would work with Heat?
Thanks,
Henrique

[1] http://openstack-neat.org/
[2] https://github.com/openstack/gantt

2014-04-13 22:53 GMT-03:00 Jiangying (Jenny) 
jenny.jiangy...@huawei.commailto:jenny.jiangy...@huawei.com:
Hi,
there has been a heated discussion about dynamic scheduling last 
week.(http://www.mail-archive.com/openstack-dev@lists.openstack.org/msg21644.html)
I am also interested in this topic. We believe that dynamic scheduling consists 
of two parts: balancing computing capacity and optimizing power consumption.
For balancing computing capacity, the ceilometer periodically monitors 
distribution and usage of CPU and memory resources for hosts and virtual 
machines. Based on the information, the scheduler calculates the current system 
standard deviation metric and determines the system imbalance by comparing it 
to the target. To resolve the imbalance, the scheduler gives the suitable 
virtual machine migration suggestions to nova. In this way, the dynamic 
scheduling achieves higher consolidation ratios and deliver optimized 
performance for the virtual machines.
For optimizing power consumption, we attempt to keep the resource utilization 
of each host within a specified target range. The scheduler evaluates if the 
goal can be reached by balancing the system workloads. If the resource 
utilization of a host remains below the target, the scheduler calls nova to 
power off some hosts. Conversely the scheduler powers on hosts to absorb the 
additional workloads. Thus optimizing power consumption offers an optimum mix 
of resource availability and power savings.
As Chen CH Ji said, “nova is a cloud solution that aim to control virtual / 
real machine lifecycle management the dynamic scheduling mechanism is something 
like optimization of the cloud resource”. We think implementing the dynamic 
scheduling with heat may be a good attempt.
Do you have any comments?
Thanks,
Jenny



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[openstack-dev] deliver the vm-level HA to improve the business continuity with openstack

2014-04-14 Thread Jiangying (Jenny)
Pacemaker provides the high availability for openstack infrastructure.
We'd like to deliver the vm-level HA to improve the business continuity with 
openstack.

Besides host failure, Our HA mechanism can detect and report host isolation, 
network partition as well as ha agent down.

Ha agent is placed on every node of the system. The master agent is elected 
automatically on system startup and others will be regarded as the slave.
For the host states detection, the ha agents communicates through the storage 
subsystem as well as over the management network. Multiple communication paths 
enable better assessment of the health of the host. On host failure, the master 
agent selects the candidate hosts and calls the slave ha agents. The slave ha 
agents talk to the nova compute to restart the virtual machine. The master 
agent reacts to ha agent down by reporting to the administrator. During the 
network partition or host isolation event, the HA mechanism will not interrupt 
the virtual machines and just keep them running.

For the virtual machine detection, the ha agents relies on nova compute for the 
information about virtual machines.

Please let me know your comments on this.

Regards,
Jenny
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[openstack-dev] [heat][nova]dynamic scheduling

2014-04-13 Thread Jiangying (Jenny)
Hi,
there has been a heated discussion about dynamic scheduling last 
week.(http://www.mail-archive.com/openstack-dev@lists.openstack.org/msg21644.html)
I am also interested in this topic. We believe that dynamic scheduling consists 
of two parts: balancing computing capacity and optimizing power consumption.
For balancing computing capacity, the ceilometer periodically monitors 
distribution and usage of CPU and memory resources for hosts and virtual 
machines. Based on the information, the scheduler calculates the current system 
standard deviation metric and determines the system imbalance by comparing it 
to the target. To resolve the imbalance, the scheduler gives the suitable 
virtual machine migration suggestions to nova. In this way, the dynamic 
scheduling achieves higher consolidation ratios and deliver optimized 
performance for the virtual machines.
For optimizing power consumption, we attempt to keep the resource utilization 
of each host within a specified target range. The scheduler evaluates if the 
goal can be reached by balancing the system workloads. If the resource 
utilization of a host remains below the target, the scheduler calls nova to 
power off some hosts. Conversely the scheduler powers on hosts to absorb the 
additional workloads. Thus optimizing power consumption offers an optimum mix 
of resource availability and power savings.
As Chen CH Ji said, nova is a cloud solution that aim to control virtual / 
real machine lifecycle management the dynamic scheduling mechanism is something 
like optimization of the cloud resource. We think implementing the dynamic 
scheduling with heat may be a good attempt.
Do you have any comments?
Thanks,
Jenny


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