Mobile edge computing (MEC) is a promising paradigm to provide cloud-computing
capabilities in close proximity to mobile devices in fifth-generation (5G) networks. In this …

The rapid growth of the cloud industry has increased challenges in the proper governance of
the cloud infrastructure. Many intelligent systems have been develo**, considering …

Resource provisioning in the cloud is the most popular business model for any service
provider due to profit that is based on how resources are distributed among users in Industry …

Cloud computing is the most prominent computing paradigm in the present era of
information technology. However, data centers needed for hosting cloud services demand …

In Vehicular Edge Computing (VEC) systems, the computing resources of connected Electric
Vehicles (EV) are used to fulfill the low-latency computation requirements of vehicles …

Real-time detection of seizure activities in epileptic patients is crucial and can help improve
patients' quality of life. Accurate evaluation, pre-surgery assessments, seizure prevention …

Cloud computing is a revolutionary paradigm to deliver computing resources, ranging from
data storage/processing to software, as a service over the network, with the benefits of …

The computing resources of today's smartphones are underutilized most of the time. Using
these resources could be highly beneficial in edge computing and fog computing contexts …

Mobile devices, along with wearable sensors, allow patients to access healthcare services
from anywhere at any time. The longstanding constraints of computational capability and …

In a cloud environment, uncertainty and resource dispersion lead to problems with resource
allocation due, for instance, to heterogeneity, dynamism, and failures. Unfortunately, existing …