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Date: Wed, 11 May 2011 11:34:08 +0100
Thread-Topic: [sip-overload] Proposal: Support for the restriction algorithms should be mandatory for clients (draft-ietf-soc-overload-control-02)
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Subject: Re: [sip-overload] Proposal: Support for the restriction algorithms should be mandatory for clients (draft-ietf-soc-overload-control-02)
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Thanks Volker,

Apologies for the slow response (sent out just before I went on leave). I h=
ave included some comments below.

I'll look at the other responses...

Regards,

Phil Williams

-----Original Message-----
From: sip-overload-bounces@ietf.org [mailto:sip-overload-bounces@ietf.org] =
On Behalf Of Volker Hilt
Sent: 29 April 2011 03:06
To: sip-overload@ietf.org
Subject: Re: [sip-overload] Proposal: Support for the restriction algorithm=
s should be mandatory for clients (draft-ietf-soc-overload-control-02)

Phil,

> SIP support for 3 restriction algorithms at client sources defined in
> soc-overload-control-02 is beneficial for the flexibility that it
> provides to potentially support a wide range of server overload controls
> and network applications. However, making proportional restriction,
> termed a 'loss-based' algorithm, mandatory for clients would severely
> limit the usefulness of this approach.
> I will summarise the reasons for this and why this algorithm has limited
> use in future generations of networks below.
> Practical issues
> -----------------------
> If client system suppliers are only required to support proportional
> restriction, then realistically it is likely that that is the only
> algorithm that will be provided by default, and the other algorithms
> will be seen as chargeable enhancements, making it difficult or
> expensive to deploy them.
> But, of the two functional ends of a closed adaptive overload control,
> it is the algorithm on the overloaded server that derives the control
> parameter that is not standardised and has dependency on node
> architecture, whereas the 3 client restriction algorithms are less
> subject to design variation, have been around for a long time, and are
> already widely deployed. Therefore we would expect it to be less
> contentious to standardise these methods within SIP, but in any case we
> would expect less sensitivity to design variations.
> It is not realistic to envisage a situation whereby an overloaded server
> supports several different client restriction algorithms simultaneously,
> because of the complexity in design of the algorithm, and because even
> if a unique solution is guaranteed, there will be issues of both speed
> of convergence to that solution, stability, and the need for the server
> capacity amongst upstream clients to be allocated in a predictable and
> precise way. This has implications for capacity guarantees, particularly
> at network boundaries (see below).
> If support for the 3 different restriction algorithms (or at least the 2
> in which we are interested) is mandated by the IETF rather than being
> optional, then a server subject to overload can guarantee that the
> sending entities will all use the same restriction algorithms, and can
> behave as predicted.

So you are arguing that a client should always implement the full set of=20
restriction algorithms (e.g., loss, rate and window)?

[PhilW] Yes. I was arguing for all 3 so as to not favour any particular met=
hod. However, I think that SLAs most naturally require a maximum rate-based=
 method, and for this purpose I don't really see the need to mandate window=
-based methods. However, I others may have particular reasons for applying =
a windowing method.

If we would mandate that, we would loose the possibility to extend the=20
feedback types at a later point.
[PhilW] I'm not sure why this is the case. Could you clarify?

And, of course, we add the complexity=20
of requiring clients to implement multiple algorithms that to the same.

[PhilW] Yes, there is an additional 'complexity', but as I pointed out thes=
e methods are well known and have been deployed widely for a long time, so =
I don't see this as being a significant issue. The fact that they would not=
 be available by default and have to be specifically required would be a mo=
re serious factor, increasing costs and preventing or complicating their de=
ployment.

> Performance imitations
> ----------------------------------
> The main performance limitation of proportional restriction is that it
> is vulnerable to sudden increases on the offered load at client sources,
> since the mean admitted rate after control is proportional to the mean
> arrival rate before control until an adaptation of the control parameter
> is made. But there will always be a delay to this control adaptation (at
> least in the closed loop method implied by the current specification),
> both because of the need for waiting sufficiently long at the overloaded
> server in order to obtain statistically accurate estimates before an
> adaptation is made, and the time and number of received messages
> required to distribute control to the clients.

Can you please point us to results that show this behavior?

[PhilW] This can be substantiated by theory, but note that there are many c=
onditions that will affect the magnitude of this issue, which will depend u=
pon the specific network application. The simulations that I did to investi=
gate this were done over 15 years ago - I'm not sure that I can recover or =
replicate these in my current situation. Note a particular critical issue f=
or this scenario that applies to all algorithms (and can therefore adversel=
y affect modelling results) is 'synchronisation' or 'resonance'. This occur=
s when the instances of restriction algorithms at multiple sources are sync=
hronised because they are using the same deterministic algorithm (e.g. 'm i=
n n' rejected for proportional or synchronised bucket fill for rate-based).=
 This results in very peaky arrivals at the overloaded server (hence highly=
 variable throughput, long response time tails or lost messages, unstable c=
ontrol) There are good and not so good ways to overcome this...

I'd also recommend to look at the results of the SIP overload control=20
design team that has investigated this problem.

[PhilW] I will do.

> This vulnerability is
> worse when the number of clients is 'large' with a high capacity
> relative to the server. In contrast, a maximum rate-based control is
> generally not so vulnerable to short term surges in load.

A rate based mechanism needs to split its capacity across upstream=20
neighbors. If new clients arrive, the split has to be adjusted. In=20
particular if you are dealing with a large set of clients some of which=20
may be inactive for some time, this requires a quick readjustment of the=20
allocated capacity. This topic has been discussion in the design=20
considerations draft.

[PhilW] Yes, but for this situation an adjustment of the control parameter =
is required whatever restriction algorithm is used. In the case of proporti=
onal loss this will be the % rejected, and all source streams will be affec=
ted. A difference with a rate-based scheme is that once the leaky bucket is=
 full the upper rate is bounded, so therefore there is an upper bound on th=
e aggregated admission rate over all sources before any control adaptation =
takes place. Note also that where a stream is already under control by a re=
strictor bucket with an admission rate at the max, then any increase in the=
 offered rate will not require any adjustment of control parameters. This i=
sn't true for proportional rejection, since the admission rate is proportio=
nal to the offered (arrival) rate at each source until an adaptation has be=
en distributed.

> The need to support precise capacity guarantees
> ------------------------------------------------------------------------
> It is common practice for agreements concerning capacity to be provided
> at network operator boundaries [from now on I'll use SP or Service
> Provider as a generic term encompassing Operators etc], and in many
> realistic applications this is essential (I recall that his requirement
> is absent from the original list of SIP overload control requirements?).
> It is also possible to want to provide guarantees to sub-streams of SP
> traffic.
> These guarantees must be practically useful, so that they can form the
> basis of a service level agreement between SPs. I.e. they must be simple
> enough to be easily understood by all parties, and above all they must
> be clear and precise in the sense that the behaviour of the capacity is
> predictable/deterministic (in a stochastic sense). SPs are not
> interested in technicalities of restriction algorithms, but will want
> the policies to be defined in terms of traffic characteristics that are
> straightforward to interpret and agree.
> Clearly the policies must also be efficient in the sense that imply that
> the available capacity can be fully utilised. I suggest that these are
> most easily expressed as a guaranteed minimum rate and a precise way in
> which 'spare' capacity not being used by a client originated stream is
> distributed over the other SPs, e.g. in terms of maximum rates
> determined by agreed proportions of the available unused allowances. Of
> course other policies are possible (but they may be less precise or more
> complex). Whatever policies are chosen, realising this is an inherent
> part of the server overload control, but the difficulty and complexity
> is dependent upon the method of call restriction is the clients.
> With proportional restriction, note that the percentages have nothing
> directly to do with the proportions of server capacity allocated to
> different clients. So there is no natural and simple way to map between
> the parameters of the agreement and the control parameters. If the same
> control level were applied to all client traffic, then the changes in
> the offered traffic from one client will always imply changes to the
> traffic admitted by another, (and in particular this applies to sudden
> large increases). To apply maximum rate-based guarantees would require
> monitoring of the received rate from each source separately in order
> that the offered traffic can be derived implicitly and thereby
> percentages derived for each specific source.
> In contrast, with a rate-based restriction, it is much simpler to
> implement policies defined in terms of maximum rates, even though these
> are adapted according to minimum guarantees and use of unused allowances
> in a precise and predictable way.

I don't think overload control is the right tool to police SLAs.

[PhilW] An overload control always enforces a capacity allocation method, a=
nd is therefore performing a policing function. This may be predictable, an=
d either agreed between the owners of the traffic streams or not (and there=
fore would not be regarded formally as an SLA), or unpredictable, e.g. for =
badly designed overload control schemes, including the situation where the =
solution in terms of allocation over sources is not unique so that stochast=
ic convergence never occurs. Unfortunately at certain network locations the=
 absence of a predictable allocation can be unacceptable.

Let's assume for a second you are in fact using overload control for=20
this purpose and are configuring your overload control rates to match=20
your SLAs. Say you have two servers A and B (each with capacity 500=20
req/s) and four upstream neighbors. The SLA with each of them is that=20
you accept 250 req/s.

If one of your servers goes down, your capacity is cut in half. If you=20
have configured overload control to honor you SLAs, your remaining=20
server will melt down within ms. Your only choice to survive this=20
situation is to use overload control and cut the rates below the SLA.

[PhilW] For this reason control (levels) at sources should always be specif=
ic to an overloaded server, i.e. there should not be a single restrictive c=
ontrol for multiple target servers. When load is distributed (balanced etc)=
 over more than one destination server the distribution function should the=
refore always precede the restriction (overload) function, not the other wa=
y around. So that in your example each source would have two independent re=
strictive control associations, one with A and another with B. The load dis=
tribution over these might be simple round-robin, so that if they are both =
controlling at 125 req/s and say A fails, then the 125 req/sec to A would b=
e rejected. There is no surge of traffic to B. Of course it is most likely =
that the overload would arise only after the failure, but this requires opt=
imum setting of control levels for initiation of control. (More generally o=
ne can show that certain rate-based SLAs can be arranged to apply over a se=
t of servers over which load is distributed, and that if the load is balanc=
ed in the same proportions as the rates, then the policy is invariant to th=
e number of working servers in the set, but this requires some theory).

Thanks,

Volker (as individual)




> Comments please!
> Phil Williams
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From internet-drafts@ietf.org  Wed May 18 14:45:15 2011
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Subject: [sip-overload] I-D Action: draft-ietf-soc-overload-design-06.txt
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A New Internet-Draft is available from the on-line Internet-Drafts director=
ies. This draft is a work item of the SIP Overload Control Working Group of=
 the IETF.

	Title           : Design Considerations for Session Initiation Protocol (S=
IP) Overload Control
	Author(s)       : Volker Hilt
                          Eric Noel
                          Charles Shen
                          Ahmed Abdelal
	Filename        : draft-ietf-soc-overload-design-06.txt
	Pages           : 24
	Date            : 2011-05-18

   Overload occurs in Session Initiation Protocol (SIP) networks when
   SIP servers have insufficient resources to handle all SIP messages
   they receive.  Even though the SIP protocol provides a limited
   overload control mechanism through its 503 (Service Unavailable)
   response code, SIP servers are still vulnerable to overload.  This
   document discusses models and design considerations for a SIP
   overload control mechanism.


A URL for this Internet-Draft is:
http://www.ietf.org/internet-drafts/draft-ietf-soc-overload-design-06.txt

Internet-Drafts are also available by anonymous FTP at:
ftp://ftp.ietf.org/internet-drafts/

This Internet-Draft can be retrieved at:
ftp://ftp.ietf.org/internet-drafts/draft-ietf-soc-overload-design-06.txt

From volker.hilt@alcatel-lucent.com  Wed May 18 14:53:26 2011
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Subject: [sip-overload] Fwd: New Version Notification - draft-ietf-soc-overload-design-06.txt
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Folks,

I've posted a new version of the design considerations draft:

New version (-06) has been submitted for 
draft-ietf-soc-overload-design-06.txt.
http://www.ietf.org/internet-drafts/draft-ietf-soc-overload-design-06.txt

Diff from previous version:
http://tools.ietf.org/rfcdiff?url2=draft-ietf-soc-overload-design-06


Thanks,

Volker

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Subject: [sip-overload] Last Call: <draft-ietf-soc-overload-design-06.txt> (Design	Considerations for Session Initiation Protocol (SIP) Overload	Control) to Informational RFC
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The IESG has received a request from the SIP Overload Control WG (soc) to
consider the following document:
- 'Design Considerations for Session Initiation Protocol (SIP) Overload
   Control'
  <draft-ietf-soc-overload-design-06.txt> as an Informational RFC

The IESG plans to make a decision in the next few weeks, and solicits
final comments on this action. Please send substantive comments to the
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Abstract


   Overload occurs in Session Initiation Protocol (SIP) networks when
   SIP servers have insufficient resources to handle all SIP messages
   they receive.  Even though the SIP protocol provides a limited
   overload control mechanism through its 503 (Service Unavailable)
   response code, SIP servers are still vulnerable to overload.  This
   document discusses models and design considerations for a SIP
   overload control mechanism.




The file can be obtained via
http://datatracker.ietf.org/doc/draft-ietf-soc-overload-design/

IESG discussion can be tracked via
http://datatracker.ietf.org/doc/draft-ietf-soc-overload-design/


No IPR declarations have been submitted directly on this I-D.


