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 …

Cloud computing is a prominent approach for complex scientific and business workflow
applications in the pay-as-you-go model. Workflow scheduling poses a challenge in cloud …

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

Workflow Scheduling is a huge challenge in cloud paradigm as many number of workflows
dynamically generated from various heterogeneous resources and task dependencies in …

Virtual Trusted Platform Modules (vTPMs) are widely used in commercial cloud platforms
(eg, VMware Cloud, Google Cloud, and Microsoft Azure) to provide virtual root-of-trust and …

This study aims to investigate the problem of concept drift in cloud computing and
emphasizes the importance of early detection for enabling optimum resource utilization and …

OSM plays a crucial role in advancing sustainable development across the economy,
environment, and society. It can foster economic sustainability by enabling infrastructure …

Cloud computing has evolved into an indispensable tool for facilitating scientific research
due to its ability to efficiently distribute and process workloads in a virtual environment …

The adoption of cloud computing has been increasingly common across several industries
in recent years and offers unparalleled flexibility and scalability in managing computational …

The integration of advanced technologies like cloud and edge computing has facilitated
efficient resource coordination, resulting in improved overall management and widespread …