The history of human development has proven that medical and healthcare applications for
humanity always are the main driving force behind the development of science and …

As a newly emerging technology, deep learning (DL) is a very promising field in big data
applications. Remote sensing often involves huge data volumes obtained daily by numerous …

Cloud workflow scheduling is significantly challenging due to not only the large scale of
workflow but also the elasticity and heterogeneity of cloud resources. Moreover, the pricing …

Nowadays, with the development of cyber-physical systems (CPS), there are an increasing
amount of applications deployed in the CPS to connect cyber space with physical world …

With the development of cloud computing, an increasing number of applications in different
fields have been deployed to the cloud. In this process, the real-time scheduling of multiple …

With the increasing popularity of cloud computing products, task scheduling problem has
become a hot research topic in this field. The task scheduling problem of cloud computing …

Cloud computing technology has revolutionized the delivery of computing services to the
consumers as customized services on demand making them cost effective and resource …

Advances in commercial cloud computing necessitate continual evaluation of the cloud's
performance on a variety of applications. This work looks at compute oriented instances from …

This paper addresses two conflicts in the energy management strategy (EMS) for plug-in
hybrid electric vehicles (PHEVs). One is the conflict between fuel economy optimization and …

Cloud computing represents an appealing opportunity for cost-effective deployment of HPC
workloads on the best-fitting hardware. However, although cloud and on-premise HPC …