Fog computing
Fog computing is the evolutionary extension of cloud computing at the edge. Fog represents a system-level horizontal architecture that distributes resources and services across a network fabric. These services and resources include storage components, computing devices, networking functions, and so on. The nodes can be located anywhere between the cloud and the "things" (sensors). This section details the difference between fog and edge computing and provides the various topologies and architectural references for fog computing.
The Hadoop philosophy for fog computing
Fog computing draws its analogy from the success of Hadoop and MapReduce, and to better understand the importance of fog computing, it is worth taking some time to think about how Hadoop works. MapReduce is a method of mapping, and Hadoop is an open source framework based on the MapReduce algorithm.
MapReduce has three steps: map, shuffle, and reduce. In the map phase, computing...