Recently cloud computing has gained popularity among e-Science environments as a high
performance computing platform. From the viewpoint of the system, applications can be …

In cloud computing environments, it is a great challenge to schedule a workflow application
because it is an NP-complete problem. Particularly, scheduling workflows with different …

Cloud computing is the latest distributed computing paradigm and it offers tremendous
opportunities to solve large-scale scientific problems. However, it presents various …

Scheduling scientific workflows in clouds under deadline constraint is a challenging problem
since public clouds usually provide various types of instances that are rented on-demand …

Cloud computing, a distributed computing paradigm, enables delivery of IT resources over
the Internet and follows the pay-as-you-go billing model. Workflow scheduling is one of the …

Nowadays, heterogeneous cloud resources are charged by cloud providers according to the
pay-as-you-go pricing model. To execute workflow applications in clouds under deadline …

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 …

The predilection of scientific applications toward a high-performance computing system is
attained through the emergence of the cloud. Large-scale scientific applications can be …

Commercial clouds have become a viable platform for performing a significant range of
large scale scientific analyses-due to the offerings of elasticity, specialist hardware, software …

Abstract Cloud Infrastructure as a Service (IaaS) has been known as a suitable platform for
the execution of workflow applications. Quality of service (QoS) in such platforms is …