Workflows are an application model that enables the automated execution of multiple
interdependent and interconnected tasks. They are widely used by the scientific community …

Cloud computing is the most prominent computing paradigm in the present era of
information technology. However, data centers needed for hosting cloud services demand …

Cloud computing is emerging with growing popularity in workflow scheduling, especially for
scientific workflow. Deploying data-intensive workflows in the cloud brings new factors to be …

Scientific workflows, like other applications, benefit from the cloud computing, which offers
access to virtually unlimited resources provisioned elastically on demand. In order to …

The significant growth in cloud computing has led to increasing number of cloud providers,
each offering their service under different conditions-one might be more secure whilst …

High quality of security service is increasingly critical for Cloud workflow applications.
However, existing scheduling strategies for Cloud systems disregard security requirements …

Hybrid cloud is a cost-effective way to address the problem of insufficient resources for
satisfying its users' requirements in a private cloud by elastically scaling up or down its …

Cloud computing provides internet-based services to access different kind of service or
resources, eliminating the need for centralised data access. There are several challenges …

Recent advances in composing Cloud applications have been driven by deployments of
inter-networking heterogeneous microservices across multiple Cloud datacenters. System …

Workflows may be defined as abstractions used to model the coherent flow of activities in the
context of an in silico scientific experiment. They are employed in many domains of science …