Real-time geospatial applications are ever-increasing with modern Information and
Communication Technology. Latency and Quality of Service-aware these applications are …

With the pervasiveness of IoT devices, smart-phones and improvement of location-tracking
technologies, huge volume of heterogeneous geo-tagged (location specific) data is …

Fog Computing, sometimes also referred to as Edge Computing, extends the Cloud
Computing paradigm to lower latency, improve location awareness, provide better support …

Data is the new fuel for any system to deliver smart and sophisticated services. Data is being
touted as the strategic asset for any organization to plan ahead and provide next-generation …

In recent years, the number of Internet of Things (IoT) devices/sensors has increased to a
great extent. To support the computational demand of real-time latency-sensitive …

The prevalence of smart devices and cloud computing has led to an explosion in the amount
of data generated by IoT devices. Moreover, emerging IoT applications, such as augmented …

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 …

Fog computing is a recently proposed computing paradigm that extends cloud computing
and services to the edge of the network which is the entry point to the core network (eg …

Edge computing and fog computing have combined in a way to facilitate a wide variety of
applications that involve human interactions, which are geographically distributed and have …

Geospatial data analysis is an emerging area of research today. Systems need to respond to
user requests in a timely manner. In this paper we have proposed a fog computing …