Fog computing allows the implementation of information processes on the native net, mainly
because of its ability to process in real-time. On the other hand, the principles of Mist …

The rapid proliferation and progress of Wireless Sensor Networks (WSN) and Internet of
Things (IoT) has conducted to the formation of a gigantic amount of data and a growing need …

The increasing use of wearables in smart telehealth system led to the generation of large
medical big data. Cloud and fog services leverage these data for assisting clinical …

Abstract Spatial Data Infrastructure (SDI) is an important framework for sharing geospatial
big data using the web. Integration of SDI with cloud computing led to emergence of Cloud …

Exponential growth and enormous development have made faster and seamless
communication possible in the field of information and communication technology between …

The smart health paradigms employ Internet-connected wearables for tele-monitoring,
diagnosis providing inexpensive healthcare solutions. Mist computing reduces latency and …

This book chapter discusses the concept of edge-assisted cloud computing and its relation
to the emerging domain of “Fog-of-things (FoT)”. Such systems employ low-power …

The smart health paradigms employ Internet-connected wearables for telemonitoring,
diagnosis for providing inexpensive healthcare solutions. Fog computing reduces latency …

Several real-world applications involve the aggregation of physical features corresponding
to different geographic and topographic phenomena. This information plays a crucial role in …

The cloud and fog computing paradigms are developing area for storing, processing, and
analysis of geospatial big data. Latest trend is mist computing which boost fog and cloud …