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 …

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 …

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 …

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 …

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 …

The fast proliferation of internet-enabled devices generates massive amounts of data every
day from every aspect of life. These internet-enabled devices lack the storage, processing …