— Note deadline extended to March 13th —

====== Call For Papers ======

Workshop on Information-Centric Fog Computing (ICFC)
(in conjunction with IFIP Networking 2017)

12-16 June 2017, Stockholm, Sweden

Web: http://networking.ifip.org/2017/index.php/workshops/workshop-on-information-centric-fog-computing-icfc

=== Overview ===

Fog Computing aims to support the Internet of Things (IoT) through ultra low latency, ultra fast data processing, high security and reliability and highly efficient resource utilisation. However, the current approaches to Fog/Edge Computing have raised some concerns with respect to privacy; for example, extending CDN DNS redirection and private key delegation models to numerous applications increases the likelihood of exposing the edge to further attacks. There is also the challenge of supporting hierarchical and/or multi-access scenarios that go beyond traditional telco-controlled access provision. Furthermore, providing compute resources at the VM-level of granularity may not be suitable for some lightweight and short-lived functions, especially for IoT. These challenges call for alternative networking models that can support higher fluidity in distributing in-network functions, in addition to allowing fast and scalable processing and exchange of information.

Over the recent years, Information-centric Networking (ICN) has emerged as a networking paradigm that places information exchange, for the purpose of its processing, in the foreground. ICN brings advantages related to the security, management and dissemination of information, through flexible and information-based routing policies; combining these advantages with the ability to temporarily and spatially decouple communication entities, ICN seems well suited for the Fog Computing paradigm, since computation can happen at the right place any time by virtue of publishing and subscribing to it.

This workshop aims at stimulating research focused on the networking models, communication frameworks and security solutions required to facilitate Fog Computing. The research directions will focus on accommodating the requirements of data processing and information networking within emerging, information-focused, networking paradigms such as ICN. This is reflected in a number of aspects, including: enabling short-term content caching, fluid distribution of in-network functions, high-speed data analysis, programmable control and management planes, resiliency and security of fog networks, Machine-to-Machine (M2M) communications, coordinated management, resource consumption, privacy and orchestration of data processing and information production. The outcomes of the workshop should levitate communication frameworks that have the ability to accommodate the immense expansion of business models, applications and services, within future Fog networks.

The workshop solicits papers that address aspects of the above areas with a main focus on facilitating networking solutions that enable dynamic and flexible fog networking through joining concepts of softwarisation and virtualisation paradigms for better management and dissemination of information. We encourage papers that address cross-­layer research issues in any combination of these areas, bridging the gaps between IoT, Fog/edge Computing, ICN, Network Function Virtualisation (NFV) and SDN.



=== Topics of Interest ===

The list of topics include (but are not limited to):
●      Information-Centric Fog models
●      Content and service distribution models in Fog computing
●      Caching, replication and relaying models in Information-centric Fog networks
●      Dynamic in-network computation, e.g., Named Function Networking
●      Implementation insights of Fog & Information-­centric Networking architectures
●      Virtualisation in Fog systems and Information­-centric Networking
●      Security and privacy challenges in Fog computing
●      Novel compensation models, such as utilising block-chains
●      Computation and communication abstractions
●      Orchestration across computation, storage and communication resources for Fog networks
●      IoT  data storage, analysis and networking in cloud-based ICN
●      Programmability in Fog networks
●      Fog computing in constrained networks
●      Testing and evaluation tools
●      Self-­organisation/configuration of Fog resources using Information-­centric approaches
●      Traffic models for Information­-centric Fog networks
●      Theoretical and experimental evaluation of information-­centric networks used for Fog computing

=== Important Dates ===

●      Submission deadline: March 13, 2017
●      Acceptance notification: April 10, 2017
●      Program available online: April 19, 2017
●      Camera ready deadline: April 27, 2017


=== Submission Guidelines ===

All submissions should be written in the English language, with a maximum length limit of 6 printed pages (IEEE two-column format, 10pt), including all the figures, references, and appendices.
Submission implies the willingness of at least one author to attend the workshop and present the paper. Accepted papers will be included in the proceedings of IFIP ICFC 2017 and published in the IFIP.
Further details on the required paper format, as well as a link to the EDAS submission site can be found at the workshop’s website.




=== Committees ===

++ Workshop Chairs ++

George Polyzos, Athens University of Economics and Business
Dirk Trossen, InterDigital Europe
Kun Yang, University of Essex

++ Technical Program Chairs ++

Dirk Kutscher, Huawei
Ioannis Psaras, University College London

++ Organising Committee ++

Mays AL-Naday, University of Essex
Pekka Nikander, Ll co-op, Aalto University
Börje Ohlman, Ericsson Research
Martin J Reed, University of Essex

++ Technical Program Committee ++

Mohammed AL-Khalidi, University of Essex
Mays AL-Naday, University of Essex
Shingo Ata, Osaka University
Giovanna Carofiglio, Cisco
Toru Hasegawa, Osaka University
Petri Laari, Ericsson Research
Chathura Magurawalage, University of Essex
Nicola Blefari Melazzi, University of Rome – Tor Vergata
Marc Mosko, PARC
Börje Ohlman, Ericsson Research
Christos Papadopoulos, Colorado State University
Michalis Polychronakis, Stony Brook University
Ioannis Psaras, University College London
Janne Riihijärvi, RWTH Aachen University
Eve Schooler, Intel (US)
Nikos Thomos, University of Essex
Dirk Trossen, InterDigital Europe
Gareth Tyson, Queen Mary University of London
Matthias Wählisch, Freie Universität Berlin
Cedric Westphal, Huawei (US)
Mick Wilson, Fujitsu (UK)
George Xylomenos, Athens University of Economics and Business
Lixia Zhang, UCLA


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