Cloud computing providers face several challenges in precisely forecasting large-scale
workload and resource time series. Such prediction can help them to achieve intelligent …

Accurate workload and resource prediction are critical for realizing proactive, dynamic, and
self-adaptive resource allocation for building cost-effective, energy-efficient, and green cloud …

With their fast development and deployment, a large number of cloud services provided by
distributed cloud data centers have become the most important part of Internet services. In …

Classifying data samples into their respective categories is a challenging task, especially
when the dataset has more features and only a few samples. A robust model is essential for …

Nowadays, a large number of cloud services have been published and hosted by geo-
distributed cloud data centers (Geo-2DCs). In spite of numerous benefits, those Geo-2DCs …

Background Major depressive disorder (MDD) is a common mental illness, characterized by
persistent depression, sadness, despair, etc., troubling people's daily life and work seriously …

A large number of cloud services provided by cloud data centers have become the most
important part of Internet services. In spite of numerous benefits, cloud providers face some …

Cloud computing has drastically transformed the means of computing in past few years.
Apart from numerous advantages, it suffers with a number of issues including resource …

Composting with electric heating has attracted extensive attention for the advantage of high
treatment efficiency for sludge. However, there are challenges in investigating how electric …

Cloud services have rapidly grown in cloud data centers (CDCs). Accurate workload
prediction benefits CDCs since appropriate resource provisioning can be performed for their …