Remote clouds are gradually unable to achieve ultra-low latency to meet the requirements of
mobile users because of the intolerable long distance between remote clouds and mobile …

The deployment of edge computing infrastructure requires a careful placement of the edge
servers, with an aim to improve application latencies and reduce data transfer load in …

Emerging applications with low-latency requirements such as real-time analytics, immersive
media applications, and intelligent virtual assistants have rendered Edge Computing as a …

The emergence of fog computing has improved the performance and efficiency of intelligent
manufacturing. In a fog computing platform, fog nodes can provide the distributed and …

With the emergence of compute-intensive applications and rapid growth of mobile users and
Internet of Things (IoT) devices, edge computing was proposed to provide cloud-like …

With the advent of mobile Internet and IoT era, various smart terminals generate a large
amount of data at the edge of the network, and how to transmit and process these data at …

With the emergence of computation-intensive applications such as face recognition, natural
language processing, etc., the performance of mobile devices appears to be weak. Mobile …

The rapid development of the Internet of Things (IoT) has brought profound changes in the
cloud computing paradigm. One promising computing model in IoT-related applications is …

In a fog computing (FC) architecture, cloud services migrate towards the network edge and
operate via edge devices such as access points (AP), routers, and switches. These devices …

The mobile devices can send jobs to be processed at one of the nearby edge servers rather
than the remote cloud server with low latency in edge computing systems. One key problem …