Edge intelligence allows bringing data (pre-) processing and decision-making closer to the
data source, which reduces delays in communication. In addition, such (pre-) processing …

Today Edge computing is witnessing an essential interest in new use cases, especially after
the introduction of 4G and 5G. Today's many applications/sectors are also heavily investing …

Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …

With the explosive growth of data generated by the Internet of Things (IoT) devices, the
traditional cloud computing model by transferring all data to the cloud for processing has …

Rapid growth in numbers of connected devices including sensors, mobile, wearable, and
other Internet of Things (IoT) devices, is creating an explosion of data that are moving across …

In today's internet of things (IoT), a vast amount of data is produced by numerous connected
devices. Previously, the data produced was uploaded to thee cloud for communicating with …

The Internet of Things (IoT) has been deeply penetrated into a wide range of important and
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …

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 Internet of Things (IoT) is maturing and becoming an established and vital technology.
IoT devices are being deployed in homes, workplaces and public areas at an increasingly …

There are a lot more IoT gadgets and data being made because IoT apps are becoming
more common in our daily lives. IoT devices don't have a lot of resources, which makes it …