There is an exponential increase in the number of smart devices, generating helpful
information and posing a serious challenge while processing this huge data. The processing …

Cloudlets are resource-rich computing infrastructures of edge computing that are located at
physical proximity of users to provide one-hop, high-bandwidth wireless access to additional …

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

In recent years, data-driven intelligent transportation systems (ITS) have developed rapidly
and brought various AI-assisted applications to improve traffic efficiency. However, these …

The intensive mobile data traffic poses a great challenge for energy-constrained mobile
devices. In the mobile edge environment, effective computing offloading and resource …

In general, edge computing networks are based on a distributed computing environment
and hence, present some difficulties to obtain an appropriate load balancing, especially …

In fog computing, closer proximity of fog devices to the end-user provides several benefits,
such as reduced End-to-End (E2E) delay and better Quality of Service (QoS). Although, fog …

For dynamic application scenarios of Mobile Edge Computing (MEC), an Energy-efficient
Multiuser and Multitask Computation Offloading (EMMCO) optimization method is proposed …

Edge computing (EC) is a promising paradigm providing a distributed computing solution for
users at the edge of the network. Preserving satisfactory quality of experience (QoE) for …

Smart devices are concerned about the processing and computation of tasks due to their tiny
nature. They prefer to offload their tasks to the cloud for processing and computation. Due to …