Execution times are crucial for effectiveness of tasks or jobs scheduling. It is very hard to
accurately estimate execution times because they are influenced by many factors. Though …

Cloud computing is the new era of Internet technology which provides various utilities and
computing resources from the pool of resources on the basis of “pay per Use”. It is …

In the credit cloud, credit services are sold to applications for credit computing, credit fusion
and credit risk estimates. Plenty of services with different performance for the same task may …

To guarantee the diversified user QoS requirements, workflow scheduling in the cloud data
centers still face challenges. In this paper, a Self-detection and Comprehensive Learning …

As a new computing paradigm for hosting and executing large-scale scientific applications,
cloud computing can provide users with scalable and elastic computational resources …

Total profit is one of the most important factors to be considered from the perspective of
resource providers. In this paper, an original MapReduce workflow scheduling with deadline …

It has become a trend that application workflows with different computing requirements are
migrated to the cloud for execution. From the perspectives of cloud data centers and users …

Cloud-based services and applications have been widely deployable these days. Such
services benefit from the almost infinite cloud compute, storage, and networking resources …

Data intensive batch processing scientific workflow is a typical application model in the era
of big data. A reasonable scheduling method can improve the resource utilization rate and …

Resource provisioning is major problem in cloud computing because of the rapid growth in
demand of resources and these resources are allocated according to dynamic nature of …