Background The automation of data analysis in the form of scientific workflows has become
a widely adopted practice in many fields of research. Computationally driven data-intensive …

Task scheduling in cloud computing can directly affect the resource usage and operational
cost of a system. To improve the efficiency of task executions in a cloud, various …

Hybrid cloud is a cost-efficient way to address the problem of insufficient resources for
meeting the peak demand of its users for a service provider, which elastically scales up or …

Large-scale applications expressed as scientific workflows are often grouped into
ensembles of inter-related workflows. In this paper, we address a new and important …

Benefiting from rich resources and virtualization technologies, hybrid cloud has emerged as
a promising solution to processing large-scale scientific workflow applications for users in a …

Security is increasingly critical for various scientific workflows that are big data applications
and typically take quite amount of time being executed on large-scale distributed …

Cloud computing and Network Function Virtualization (NFV) represent together a promising
solution for wireless network operators to improve business agility and cope with the …

Hybrid cloud computing enables enterprises to get the best of both private and public cloud
models. One of its primary benefits is to reduce operational costs, and the prerequisite is that …

Cloud computing has emerged as a mainstream paradigm for hosting various types of
applications by supporting easy-to-use computing services. Among the many different forms …

Cloud computing offers resources to users for computing and storage needs on the policy
pay-what-you-use model. A private cloud is an excellent cost-saving option because the …