Heterogeneous cloud datacenters are well-suited and cost-efficient platforms for execution
of scientific workflows requested from academics. Workflow scheduling algorithms have …

Scheduling of scientific workflows on hybrid cloud architecture, which contains private and
public clouds, is a challenging task because schedulers should be aware of task inter …

Cloud computing is a distributed computing paradigm, that provides infrastructure and
services to the users using the pay-as-you-use billing model. With the increasing demands …

Workflow Scheduling in cloud computing has drawn enormous attention due to its wide
application in both scientific and business areas. This is particularly an NP-complete …

Cloud computing platforms have been extensively using scientific workflows to execute
large‐scale applications. However, multiobjective workflow scheduling with scientific …

Now-a-days, Cloud computing is a technology which eludes provision cost while providing
scalability and elasticity to accessible resources on a pay-per-use basis. To satisfy the …

Distributed computing workflow is an effective paradigm to express a range of applications
with cloud computing platforms for scientific research explorations. One of the most difficult …

Nowadays, more and more computation-intensive scientific applications with diverse needs
are migrating to cloud computing systems. However, the cloud systems alone cannot meet …

Cloud computing has emerged as a high-performance computing environment with a large
pool of abstracted, virtualized, flexible, and on-demand resources and services. Scheduling …

Given that multi-cloud environments contain considerably diverse resources, scheduling
workflows in these environments significantly reduces financial costs and overcomes the …