[openstack-dev] [Edge-computing] [tripleo][FEMDC] IEEE Fog Computing: Call for Contributions - Deadline Approaching
Bogdan Dobrelya
bdobreli at redhat.com
Tue Nov 6 17:44:42 UTC 2018
Folks, I have drafted a few more sections [0] for your /proof reading
and kind review please. Also left some notes for TBD things, either for
the potential co-authors' attention or myself :)
[0]
https://github.com/bogdando/papers-ieee/blob/master/ICFC-2019/LaTeX/position_paper_1570506394.pdf
On 11/5/18 6:50 PM, Bogdan Dobrelya wrote:
> Update: I have yet found co-authors, I'll keep drafting that position
> paper [0],[1]. Just did some baby steps so far. I'm open for feedback
> and contributions!
>
> PS. Deadline is Nov 9 03:00 UTC, but *may be* it will be extended, if
> the event chairs decide to do so. Fingers crossed.
>
> [0]
> https://github.com/bogdando/papers-ieee#in-the-current-development-looking-for-co-authors
>
>
> [1]
> https://github.com/bogdando/papers-ieee/blob/master/ICFC-2019/LaTeX/position_paper_1570506394.pdf
>
>
> On 11/5/18 3:06 PM, Bogdan Dobrelya wrote:
>> Thank you for a reply, Flavia:
>>
>>> Hi Bogdan
>>> sorry for the late reply - yesterday was a Holiday here in Brazil!
>>> I am afraid I will not be able to engage in this collaboration with
>>> such a short time...we had to have started this initiative a little
>>> earlier...
>>
>> That's understandable.
>>
>> I hoped though a position paper is something we (all who reads that,
>> not just you and me) could achieve in a couple of days, without a lot
>> of research associated. That's a postion paper, which is not expected
>> to contain formal prove or implementation details. The vision for
>> tooling is the hardest part though, and indeed requires some time.
>>
>> So let me please [tl;dr] the outcome of that position paper:
>>
>> * position: given Always Available autonomy support as a starting point,
>> define invariants for both operational and data storage consistency
>> requirements of control/management plane (I've already drafted some in
>> [0])
>>
>> * vision: show that in the end that data synchronization and conflict
>> resolving solution just boils down to having a causally
>> consistent KVS (either causal+ or causal-RT, or lazy replication
>> based, or anything like that), and cannot be achieved with *only*
>> transactional distributed database, like Galera cluster. The way how
>> to show that is an open question, we could refer to the existing
>> papers (COPS, causal-RT, lazy replication et al) and claim they fit
>> the defined invariants nicely, while transactional DB cannot fit it
>> by design (it's consensus protocols require majority/quorums to
>> operate and being always available for data put/write operations).
>> We probably may omit proving that obvious thing formally? At least for
>> the postion paper...
>>
>> * opportunity: that is basically designing and implementing of such a
>> causally-consistent KVS solution (see COPS library as example) for
>> OpenStack, and ideally, unifying it for PaaS operators
>> (OpenShift/Kubernetes) and tenants willing to host their containerized
>> workloads on PaaS distributed over a Fog Cloud of Edge clouds and
>> leverage its data synchronization and conflict resolving solution
>> as-a-service. Like Amazon dynamo DB, for example, except that fitting
>> the edge cases of another cloud stack :)
>>
>> [0]
>> https://github.com/bogdando/papers-ieee/blob/master/ICFC-2019/challenges.md
>>
>>
>>> As for working collaboratively with latex, I would recommend using
>>> overleaf - it is not that difficult and has lots of edition resources
>>> as markdown and track changes, for instance.
>>> Thanks and good luck!
>>> Flavia
>>
>>
>>
>> On 11/2/18 5:32 PM, Bogdan Dobrelya wrote:
>>> Hello folks.
>>> Here is an update for today. I crated a draft [0], and spend some
>>> time with building LaTeX with live-updating for the compiled PDF...
>>> The latter is only informational, if someone wants to contribute,
>>> please follow the instructions listed by the link (hint: you need no
>>> to have any LaTeX experience, only basic markdown knowledge should be
>>> enough!)
>>>
>>> [0]
>>> https://github.com/bogdando/papers-ieee/#in-the-current-development-looking-for-co-authors
>>>
>>>
>>> On 10/31/18 6:54 PM, Ildiko Vancsa wrote:
>>>> Hi,
>>>>
>>>> Thank you for sharing your proposal.
>>>>
>>>> I think this is a very interesting topic with a list of possible
>>>> solutions some of which this group is also discussing. It would also
>>>> be great to learn more about the IEEE activities and have experience
>>>> about the process in this group on the way forward.
>>>>
>>>> I personally do not have experience with IEEE conferences, but I’m
>>>> happy to help with the paper if I can.
>>>>
>>>> Thanks,
>>>> Ildikó
>>>>
>>>>
>>>
>>> (added from the parallel thread)
>>>>> On 2018. Oct 31., at 19:11, Mike Bayer <mike_mp at
>>>>> zzzcomputing.com> wrote:
>>>>>
>>>>> On Wed, Oct 31, 2018 at 10:57 AM Bogdan Dobrelya <bdobreli at
>>>>> redhat.com> wrote:
>>>>>>
>>>>>> (cross-posting openstack-dev)
>>>>>>
>>>>>> Hello.
>>>>>> [tl;dr] I'm looking for co-author(s) to come up with "Edge clouds
>>>>>> data
>>>>>> consistency requirements and challenges" a position paper [0] (papers
>>>>>> submitting deadline is Nov 8).
>>>>>>
>>>>>> The problem scope is synchronizing control plane and/or
>>>>>> deployments-specific data (not necessary limited to OpenStack) across
>>>>>> remote Edges and central Edge and management site(s). Including
>>>>>> the same
>>>>>> aspects for overclouds and undercloud(s), in terms of TripleO; and
>>>>>> other
>>>>>> deployment tools of your choice.
>>>>>>
>>>>>> Another problem is to not go into different solutions for Edge
>>>>>> deployments management and control planes of edges. And for
>>>>>> tenants as
>>>>>> well, if we think of tenants also doing Edge deployments based on
>>>>>> Edge
>>>>>> Data Replication as a Service, say for Kubernetes/OpenShift on top of
>>>>>> OpenStack.
>>>>>>
>>>>>> So the paper should name the outstanding problems, define data
>>>>>> consistency requirements and pose possible solutions for
>>>>>> synchronization
>>>>>> and conflicts resolving. Having maximum autonomy cases supported for
>>>>>> isolated sites, with a capability to eventually catch up its
>>>>>> distributed
>>>>>> state. Like global database [1], or something different perhaps (see
>>>>>> causal-real-time consistency model [2],[3]), or even using git. And
>>>>>> probably more than that?.. (looking for ideas)
>>>>>
>>>>>
>>>>> I can offer detail on whatever aspects of the "shared / global
>>>>> database" idea. The way we're doing it with Galera for now is all
>>>>> about something simple and modestly effective for the moment, but it
>>>>> doesn't have any of the hallmarks of a long-term, canonical solution,
>>>>> because Galera is not well suited towards being present on many
>>>>> (dozens) of endpoints. The concept that the StarlingX folks were
>>>>> talking about, that of independent databases that are synchronized
>>>>> using some kind of middleware is potentially more scalable, however I
>>>>> think the best approach would be API-level replication, that is, you
>>>>> have a bunch of Keystone services and there is a process that is
>>>>> regularly accessing the APIs of these keystone services and
>>>>> cross-publishing state amongst all of them. Clearly the big
>>>>> challenge with that is how to resolve conflicts, I think the answer
>>>>> would lie in the fact that the data being replicated would be of
>>>>> limited scope and potentially consist of mostly or fully
>>>>> non-overlapping records.
>>>>>
>>>>> That is, I think "global database" is a cheap way to get what would be
>>>>> more effective as asynchronous state synchronization between identity
>>>>> services.
>>>>
>>>> Recently we’ve been also exploring federation with an IdP (Identity
>>>> Provider) master:
>>>> https://wiki.openstack.org/wiki/Keystone_edge_architectures#Identity_Provider_.28IdP.29_Master_with_shadow_users
>>>>
>>>>
>>>> One of the pros is that it removes the need for synchronization and
>>>> potentially increases scalability.
>>>>
>>>> Thanks,
>>>> Ildikó
>>>
>>>
>>>
>>
>>
>
>
--
Best regards,
Bogdan Dobrelya,
Irc #bogdando
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