I forgot to mention the submission registration and abstract has to be submitted today. I've created it as #1570506394, and the paper itself can be uploaded until the Nov 8 (or Nov 9 perhaps as the registration system shows to me). I'm not sure that paper number is searchable publicly, so here is the paper name and abstract for your kind review please:

name: "Edge clouds control plane and management data consistency challenges"
abstract: "Fog computing is emerging Cloud of (Edge) Clouds technology. Its control plane and deployments data synchronization is a major challenge. Autonomy requirements expect even the most distant edge sites always manageable, available for monitoring and alerting, scaling up/down, upgrading and applying security fixes. Whenever temporary disconnected sites are managed locally or centrally, some changes and data need to be eventually synchronized back to the central site(s) with having its merge-conflicts resolved for the central data hub(s). While some data needs to be pushed from the central site(s) to the Edge, which might require resolving data collisions at the remote sites as well. In this paper, we position the outstanding data synchronization problems for OpenStack cloud platform becoming a solution number one for fog computing. We outline the data consistency requirements and design approaches to meet the AA (Always Available) autonomy expectations. Finally, the paper brings the vision of unified tooling, which solves the data synchronization problems the same way for infrastructure owners, IaaS cloud operators and tenants running workloads for PaaS like OpenShift or Kubernetes deployed on top of OpenStack. The secondary goal of this work is to help cloud architects and developers to federate stateful cloud components over reliable distributed data backends and having its failure modes known."
Thank you  for your time, if still reading this.

On 10/31/18 3:57 PM, Bogdan Dobrelya wrote:
(cross-posting openstack-dev)

[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)

See also the "check" list in-line, which I think also meets the data consistency topics well - it would be always nice to have some theoretical foundations at hand, when repairing some 1000-edges-spread-off and fully broken global database, by hand :)

PS. I must admit I have yet any experience with those IEEE et al academic things and looking for someone who has it, to team and co-author that positioning paper by. That's as a start, then we can think of presenting it and expanding into work items for OpenStack Edge WG and future development plans.

[0] http://conferences.computer.org/ICFC/2019/Paper_Submission.html
[1] https://review.openstack.org/600555
[2] https://jepsen.io/consistency
[3] http://www.cs.cornell.edu/lorenzo/papers/cac-tr.pdf

On 10/22/18 3:44 PM, Flavia Delicato wrote:
IEEE International Conference on Fog Computing (ICFC 2019)
June 24-26, 2019
Prague, Czech Republic
Co-located with the IEEE International Conference on Cloud Engineering
(IC2E 2019)

Important Dates
Paper registration and abstract: Nov 1st, 2018
Full paper submission due: Nov 8th, 2018
Notification of paper acceptance: Jan. 20th, 2019
Workshop and tutorial proposals due: Nov 11, 2018
Notification of proposal acceptance: Nov 18, 2018

Call for Contributions
Fog computing is the extension of cloud computing into its edge and
the physical world to meet the data volume and decision velocity
requirements in many emerging applications, such as augmented and
virtual realities (AR/VR), cyber-physical systems (CPS), intelligent
and autonomous systems, and mission-critical systems. The boundary
between centralized, powerful computing cloud and massively
distributed, Internet connected sensors, actuators, and things is
blurred in this new computing paradigm.

The ICFC 2019 technical program will feature tutorials, workshops, and
research paper sessions. We solicit high-quality contributions in the
above categories. Details of submission is available on the conference
Web site. Topics of interest include but are not limited to:

* System architecture for fog computing


* Coordination between cloud, fog, and sensing/actuation endpoints
* Connectivity, storage, and computation in the edge
* Data processing and management for fog computing


* Efficient and embedded AI in the fog
* System and network manageability
* Middleware and coordination platforms
* Power, energy, and resource management
* Device and hardware support for fog computing
* Programming models, abstractions, and software engineering for fog computing


* Security, privacy, and ethics issues related to fog computing
* Theoretical foundations and formal methods for fog computing systems


* Applications and experiences

Organizing Committee
General Chairs:
Hui Lei, IBM
Albert Zomaya, The University of Sydney

PC Co-chairs:
Erol Gelenbe, Imperial College London
Jie Liu, Microsoft Research

Tutorials and Workshops Chair:
David Bermbach, TU Berlin

Publicity Co-chairs:
Flavia Delicato,Federal University of Rio de Janeiro
Mathias Fischer, University Hamburg

Publication Chair
Javid Taheri, Karlstad University

Wei Li, The University of Sydney

Steering Committee
Mung Chiang, Purdue University
Erol Gelenbe, Imperial College London
Christos Kozarakis, Stanford University
Hui Lei, IBM
Chenyang Lu, Washington University in St Louis
Beng Chin Ooi, National University of Singapore
Neeraj Suri, TU Darmstadt
Albert Zomaya, The University of Sydney

Program Committee

Tarek Abdelzaher, UIUC
Anne Benoit, ENS Lyon
David Bermbach, TU Berlin
Bharat Bhargava, Purdue University
Olivier Brun, LAAS/CNRS Laboratory
Jiannong Cao, Hong Kong Polytech
Flavia C. Delicato, UFRJ, Brazil
Xiaotie Deng, Peking University, China
Schahram Dustdar, TU Wien, Germany
Maria Gorlatova, Duke University
Dharanipragada Janakiram, IIT Madras
Wenjing Luo, Virginia Tech
Pedro José Marrón, Universität Duisburg-Essen
Geyong Min, University of Exeter
Suman Nath, Microsoft Research
Vincenzo Piuri, Universita Degli Studi Di Milano
Yong Meng Teo, National University of Singapore
Guoliang Xing, Chinese University of Hong Kong
Yuanyuan Yang, SUNY Stony Brook
Xiaoyun Zhu, Cloudera

Best regards,
Bogdan Dobrelya,
Irc #bogdando

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