In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …

Fog and cloud computing are emerging paradigms that enable distributed and scalable data
processing and analysis. However, these paradigms also pose significant challenges for …

Industrial cyber–physical systems (ICPS) are emerging platforms for various industrial
applications. For instance, remote healthcare monitoring, real-time healthcare data …

The wide-spread embracement and integration of Internet of Things (IoT) has inevitably lead
to an explosion in the number of IoT devices. This in turn has led to the generation of …

In recent years, Cloud computing has been developed and become the foundation of a wide
range of applications. It allows users to access a catalog of standardized services and …

Many resource management techniques for task scheduling, energy and carbon efficiency,
and cost optimization in workflows rely on a-priori task runtime knowledge. Building runtime …

Scientific workflow management systems (SWMSs) and resource managers together ensure
that tasks are scheduled on provisioned resources so that all dependencies are obeyed …

The growing volumes of information and multifaceted nature of information processing,
workflow scheduling in distributed environment are a prominent component for computing …

Several real-world scientific and industrial workflow applications adopt elastic and cost-
efficient cloud services to fulfill their requirement. There are two stakeholders in the system …

Recently, Kubernetes is widely used to manage and schedule the resources of
microservices in cloud‐native distributed applications, as the most famous container …