The demand for task scheduling in Internet of Things (IoT)-based edge and cloud computing
environments is experiencing exponential growth due to the need to address real-world …

In Industrial-Internet-of-Things (IIoT) applications, fog computing (FC) has soared as a
means to improve the Quality of Services (QoSs) provided to users through cloud computing …

The most critical action in the Internet of things (IoT), particularly in the cloud computing (CC)
ecosystem, is job/task scheduling. The rule of the task scheduling (TS) means that how to …

Instead of the cloud, the Internet of things (IoT) activities are offloaded into fog computing to
boost the quality of services (QoSs) needed by many applications. However, the availability …

Cloud computing has indisputably emerged as the primary computing and storage platform
for various contemporary workloads. These workloads, spanning from IoT to big data …

Recently developed IoT devices are capable of gathering, storing, and processing more
data than ever before. This calls for the need for scalability. Through the use of edge …

The job scheduling paradigms include dispatching Internet of Things (IoT) critical services
onto processing nodes. Here most energy is consumed in finding suitable virtual machines …

Internet and communication technologies now rely heavily on cloud computing, making it an
indispensable component and allowing users to access infrastructure, platforms, and …

The usage of cloud services is growing exponentially with the recent advancement of
Internet of Things (IoT)-based applications. Advanced scheduling approaches are needed to …

Edge cloud is a cloud computing system built on edge infrastructure. Task scheduling
optimization is the key technology to ensure the quality of service in edge cloud. However …