Abstract The Internet of Things needs for computing power and storage are expected to
remain on the rise in the next decade. Consequently, the amount of data generated by …

Large‐scale scientific problems are often modeled as workflows. The ever‐growing data
and compute requirements of these applications has led to extensive research on how to …

Green Computing is a recent trend in computer science, which tries to reduce the energy
consumption and carbon footprint produced by computers on distributed platforms such as …

Cloud computing is a suitable platform to execute the deadline-constrained scientific
workflows which are typical big data applications and often require many hours to finish …

With the advent of cloud computing and the availability of data collected from increasingly
powerful scientific instruments, workflows have become a prevailing mean to achieve …

Scheduling large-scale and resource-intensive workflows in cloud infrastructure is one of the
main challenges for cloud service providers (CSPs). Cloud infrastructure is more efficient …

Cloud computing, a novel and promising methodology in the distributed computing domain,
provides a pay-per-use framework to solve large-scale scientific and business workflow …

Cloud computing has emerged as the preeminent computing platform for multiple
enterprises. All scales of organizations adopt cloud services to leverage cloud technology to …

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 …

Scientific workflows are used routinely in numerous scientific domains, and Workflow
Management Systems (WMSs) have been developed to orchestrate and optimize workflow …