DistributedFog: Fog Computing

Fog Computing is an end-to-end horizontal architecture for the IoT that distributes the communication, compute, storage and control planes nearer to users along the cloud-to-thing continuum.

Advantages

Real time processing
Rapid, affordable scaling
Client-centric objectives
Local content and resource pooling
Work with encrypted traffic and multi path TCP

Recent Examples

Edge analytics/real-time stream-mining
Clients’ idle resource pooling optimization
Cloudlets/Mobile CDN

ANGELS Available Network Gateways in Edge Locations for Sensors

ANGELS is a work in progress research project that explores the idea of utilising smart edge devices for performing certain portions of the data analysis tasks in IoT.

software, distributed, analytics

Cisco IOx

IOx combines IoT application execution within the fog and offers highly secure connectivity with Cisco IOS technology, as well as powerful services for rapid, reliable integration with IoT sensors and the cloud.

software, virtualisation, distributed

Cloudlet

A cloudlet is a mobility-enhanced small-scale cloud datacenter that is located at the edge of the Internet. The main purpose of the cloudlet is supporting resource-intensive and interactive mobile applications by providing powerful computing resources to mobile devices with lower latency. It is a new architectural element that extends today’s cloud computing infrastructure.

software, virtualisation, distributed, cloud, edge

Eywa

Eywa is an interoperable fog computing infrastructure for RDF Stream Processing (RSP). It implements a means of distribution and control of query workload for stream processing on flexible, interopeable, RDF graph structures.

software, distributed, RDF, RSP, stream processing

Fog Computing