Resource allocation and cloudlets scheduling are fundamental problems in a cloud
computing environment. The scheduled cloudlets must be executed efficiently by using the …

In the last decade, cloud computing becomes the most demanding platform to resolve issues
and manage requests across the Internet. Cloud computing takes along terrific opportunities …

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 …

Cloud computing becomes a promising technology to reduce computation cost by providing
users with elastic resources and application-deploying environments as a pay-per-use …

Recently, the use of quantum cloud computing for different applications has been
increasing. For instance, weather forecasting, financial modeling, healthcare, and …

With the development of cloud computing, multi-cloud systems have become common
platforms for hosting and executing workflow applications in recent years. However, the …

Multi-cloud is the use of multiple cloud computing in a single heterogeneous architecture.
Workflow scheduling in multi-cloud computing is an NP-Hard problem for which many …

Heterogeneous cloud datacenters are well-suited and cost-efficient platforms for execution
of scientific workflows requested from academics. Workflow scheduling algorithms have …

Scheduling of scientific workflows on hybrid cloud architecture, which contains private and
public clouds, is a challenging task because schedulers should be aware of task inter …

A multi-objective optimization approach is suggested here for scientific workflow task-
scheduling problems in cloud computing. More frequently, scientific workflow involves a …