Cloud computing has emerged as a promising platform for running scientific workflows
across various domains. Scientists can take advantage of different cloud service models …

Scheduling workflows in cloud environments is an important issue that many types of
research have been conducted in this field. However, these approaches often focus on …

Scientific ensemble workflows are commonly executed in Infrastructure-as-a-Service clouds
for high-performance computing. The dynamic pricing of spot instances offers a cost …

Cost optimization is a common goal of workflow schedulers operating in cloud computing
environments. The use of spot instances is a potential means of achieving this goal, as they …

In recent times, cloud computing has become a popular platform for running various
applications, with workflows being one of the most common types. However, efficient …

Cloud computing is vital for businesses and individuals, offering a flexible and scalable
solution for data storage, processing, and access. As cloud usage expands, optimizing …

Cloud computing solutions are becoming more and more popular as a way for organizations
to improve productivity, save costs, and simplify procedures. The advantage of cloud …

Nowadays, cloud computing with pay-per-use infrastructures provides an ideal environment
for processing large-scale scientific workflows. Workflows that are interrelated and have …

Due to the scalable and pay-per-use nature of Cloud computing, more and more users are
deploying their workflow applications in the Cloud. Proper scheduling of the tasks of a …

Cloud computing (CC) has transformed the way businesses store, process, and access data,
and spot pricing has emerged as a key feature of this technology. Spot pricing enables users …