As an emerging and promising computing paradigm in the Internet of things (IoT), edge
computing can significantly reduce energy consumption and enhance computation …

In order to meet the demand for efficient computing services in big data scenarios, a cloud
edge collaborative computing allocation strategy based on deep reinforcement learning by …

Edge computing can greatly decrease the delay between users and cloud servers, which
can significantly improve system service performance. However, it remains challenging for …

The implementation of the Internet of Things and 5G communications has pushed
centralized cloud computing toward edge computing resulting in a paradigm shift in …

With the rapid development and popularization of 5G and the Internet of Things, a number of
new applications have emerged, such as driverless cars. Most of these applications are time …

Recent advancements in the Internet of Things (IoT) have enhanced the quality of life
globally. Billions of devices are brought under the ambit of IoT to make them smarter. IoT …

For an extended period, a technological architecture known as cloud IoT links IoT devices to
servers located in cloud data centers. Real-time data analytic are made possible by this …

Mobile edge computing (MEC) can provision augmented computational capacity in proximity
so as to better support Industrial Internet of Things (IIoT). Tasks from the IIoT devices can be …

Large-scale applications of Internet of things (IoT), which require considerable computing
tasks and storage resources, are increasingly deployed in cloud environments. Compared …

With rapid adoption in vertical industries and further assistance of edge computing, Internet
of Things (IoT) applications are experiencing phenomenal growth. However, the …