Even though cloud computing offers many advantages, it can be a poor choice sometimes
because of its slow response to existing requests, leading to the need for fog computing …

Efficient task scheduling on the cloud is critical for optimal utilization of resources in data
centers. It became even more challenging with the emergence of 5G and IoT applications …

IoT edge devices have become more popular due to the rapid growth in IoT applications in
recent years. Task scheduling reduces latency and application computation times, while …

The emergence and rapid growth of smart and IoT devices increased the demand for an
efficient and effective task computing platform. Mobile edge computing (MEC) has emerged …

The Internet of Things applications have become popular because of their lightweight nature
and usefulness, which require low latency and response time. Hence, Internet of Things …

Abstract Nowadays, the Internet of Things (IoT) is used for the purpose of gathering data
through sensors as well as for storing and processing data. Due to the inherent limitations in …

Fog computing has emerged as a prospective paradigm to address the computational
requirements of IoT applications, extending the capabilities of cloud computing to the …

Scheduling tasks is a pivotal and practical action within the fog and cloud layers. This study
introduces a two-tier task scheduling approach with improved version of the Harris Hawk …

Fog computing utilizes user premises resources to provide better services than traditional
cloud computing. Due to the heterogeneity of fog devices, scheduling poses a challenge …

A brain-computer interface (BCI) based on an electroencephalograph (EEG) establishes a
new channel of communication between the human brain and a computer. Redundant …