With the development of cloud computing, a growing number of applications are migrating to
a cloud environment. In the process, the real-time scheduling of workflows has gradually …

With the rapid growth of the Industrial Internet of Things, a large amount of industrial data
that needs to be processed promptly. Edge computing-based computation offloading can …

With the evolution of Internet of Medical Things (IoMT), the number of terminal devices has
grown exponentially. This has led to a substantial influx of health-related data, which is …

The emerging serverless computing paradigm has recently attracted huge attention from
both academia and industry. It brings benefits, such as less operational complexity, high …

Cloud workloads are highly dynamic and complex, making task scheduling in cloud
computing a challenging problem. While several scheduling algorithms have been …

In this paper we report our experiences from the migration of an AI model inference process,
used in the context of an E-health platform to the Function as a Service model. To that …

Serverless computing has revolutionized cloud-based software development for software
developers, addressing many of the associated challenges. With resource management and …

The widespread adoption of cloud computing has resulted in centralized datacenter
structures; however, there is a requirement for smaller-scale distributed infrastructures to …

The computing process of tasks in Industrial Internet of Things (IIoT) environments is
becoming increasingly complex due to the development of 5G and artificial intelligence …

Multi-cloud is a promising paradigm due to its advantages such as avoiding vendor lock-in
and optimising costs. This paper focuses on dynamic flexible workflow scheduling with …