![OpenFog Secure Communication Pathways [2]
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Fog Computing: a new kid in Cloud Computing Block
- 1. Fog Computing: a new kid in Cloud Computing Block Nelson Fonseca Instituto de Computação Universidade Estadual de Campinas
- 8. OpenFog Secure Communication Pathways [2] 8
- 10. The OpenFog Consortium 57 members and counting! 10
- 11. Fog Computing Security : Reducing the distance that information needs to traverse. Cognition: Be better aware of and closely reflect customer requirements. Agility: It is usually much faster and cheaper to experiment with client and edge devices Latency: support time-sensitive control functions Efficiency: Distribute computing, storage, and control functions anywhere between the cloud and the endpoint 11
- 12. Challenges
Editor's Notes
- #8: Fog computing end devices such as CCTVs can do some processing and send useful data fog nodes in the fog´s core.
- #9: The communications occurring in the Device-Fog-Cloud Computing continuum can be categorized into three kinds of Secure Communication Pathways: - Node-to-Cloud Secure Communication Pathways - Node-to-Node Secure Communication Pathways - Node-to-Device Secure Communication Pathways Since the fog nodes often function as the proxies of cloud servers towards their associated frontend devices while aggregating and representing these frontend devices to the cloud servers, these pathways shall cooperate to preserve the interoperability among the frontend devices and the cloud servers.
- #12: Unique advantages that are potentially offered by fog can be summarized with an acronym: “SCALE.” Security: By reducing the distance that information needs to traverse, there is less chance of eavesdropping. Cognition: Fog applications, being close to the end users, can be built to be better aware of and closely reflect customer requirements. Agility: It is usually much faster and cheaper to experiment with client and edge devices rather than waiting for vendors of large network and cloud boxes to initiate or adopt an innovation. Latency: Fog enables data analytics at the network edge and can support time-sensitive control functions for local cyber-physical systems. Efficiency: Fog can distribute computing, storage, and control functions anywhere between the cloud and the endpoint to take full advantage of the resources available along this continuum. It can also allow applications to leverage otherwise idle computing, storage, and networking resources abundantly available on network edge and end-user devices such as tablets, laptops, smart home appliances, connected vehicles and trains, and network edge routers. Fog’s closer proximity to the endpoints will enable it to be more closely integrated with end-user systems to enhance overall system efficiency and performance. This is especially important for performance-critical cyber-physical systems.