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

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 leviate 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 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 abstraction
● 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