The rapid growth of IoT devices leads to increasing requests. These tremendous requests
cannot be processed by IoT devices due to the computational power of IoT devices and the …

The expanding scale of cloud data centers and the diversification of user services have led
to an increase in energy consumption and greenhouse gas emissions, resulting in long-term …

It is essential to consider the infrastructures of workflows as a critical research area where
even slight optimizations can significantly impact infrastructure efficiency and the services …

Cloud-fog computing frameworks are emerging paradigms developed to add benefits to the
current Internet of Things (IoT) architectures. In such frameworks, task scheduling plays a …

With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …

Virtualization technology provides a new way to improve resource utilization and cloud
service throughput. However, the randomness of task arrival, tight coupling between …

Task scheduling is an important research direction in cloud computing. The current research
on task scheduling considers mainly the design of scheduling strategies and algorithms and …

With the rapid development of human society, the urbanization of the world's population is
also progressing rapidly. Urbanization has brought many challenges and problems to the …

Cloud providers deliver heterogeneous virtual machines to run complicated jobs submitted
by users. The task scheduling issue is formulated to a discrete optimization problem which is …

Abstract The Elman neural network (ElmanNN) is well-known for its capability of processing
dynamic information, which has led to successful applications in stock forecasting. In this …