The transition from traditional cloud computing to edge computing represents a paradigm
shift in data management. As the Internet of Things (IoT) and 5G connectivity continue to …

When the requirements and processing appetites have grown enough in the era of personal
computing, users began to think about cloud servers. This initiated the growth of cloud …

The burgeoning growth of the Internet of Things (IoT) has prompted a paradigm shift in
computing architectures, leading to the emergence and rapid evolution of edge computing …

In the present-day scenario, computing is migrating from the on-premises server to the cloud
server and now, progressively from the cloud to Edge server where the data is gathered from …

Cloud computing faces a series of challenges, such as insufficient bandwidth, unsatisfactory
real-time, privacy protection, and energy consumption. To overcome the challenges, edge …

This chapter describes how traditionally, Cloud Computing has been used for processing
Internet of Things (IoT) data. This works fine for the analytical and batch processing jobs. But …

The rapid growth of the Internet of Things (IoT) applications and their interference with our
daily life tasks have led to a large number of IoT devices and enormous sizes of IoT …

The Internet of Things (IoT) now permeates our daily lives, providing important measurement
and collection tools to inform our every decision. Millions of sensors and devices are …

Internet of things (IoT) has brought probably the largest wave in the cyber industry after the
Internet and mobile communications. This chapter outlines some typical properties of IoT …

The proliferation of Internet of Things (IoT) and the success of rich cloud services have
pushed the horizon of a new computing paradigm, edge computing, which calls for …