Cloud computing heavily relies on virtualization, as with cloud computing virtual resources
are typically leased to the consumer, for example as virtual machines. Efficient management …

With the enormous increase in energy usage by cloud data centers for handling various
workflow applications, the energy-aware cloud workflow scheduling has become a hot …

With the ever-increasing requirement of storage and computation resources, it is unrealistic
for local devices (with limited sources) to implement large-scale data processing. Therefore …

With the ever-growing data and computing requirements, more and more scientific and
business applications represented by workflows have been moved or are in active transition …

Currently, deep neural networks (DNNs) have achieved a great success in various
applications. Traditional deployment for DNNs in the cloud may incur a prohibitively serious …

As an effective technique to relieve the problem of resource constraints on mobile devices
(MDs), the computation offloading utilizes powerful cloud and edge resources to process the …

Workflow scheduling in Heterogeneous Distributed Computing Environments (HDCEs) is a
NP-hard problem. Although a number of scheduling approaches have been proposed for …

This paper aims to propose a methodology for measuring user experience (UX) by using
artificial intelligence-aided design (AIAD) technology in mobile application design. Unlike …

In this paper, we consider the market-driven workflow scheduling problem on
heterogeneous cloud resources with deadline constraints. The transmission delay between …

Geo-distributed clouds have emerged as a new generation of cloud computing paradigm, in
which each cloud is operated and managed by independent cloud service providers (CSPs) …