When each task of the longest path in a task-dependent scientific workflow must meet a
deadline, the path is called critical. Tasks in a critical path have priority over tasks in non …

Commercial cloud computing resources are rapidly becoming the target platform on which to
perform scientific computation, due to the massive leverage possible and elastic pay-as-you …

As one of the latest market-oriented resource provisioning paradigms, cloud computing has
been widely adopted by a growing number of consumers due to its powerful computing …

With the development of cloud computing, an increasing number of applications in different
fields have been deployed to the cloud. In this process, the real-time scheduling of multiple …

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 is crucial to the efficient operation of cloud platforms, and has attracted
a lot of attention. Up to now, many algorithms have been reported to schedule workflows …

A significant aspect of cloud computing is scheduling of a large number of real-time
concurrent workflow instances. Most of the existing scheduling algorithms are designed for a …

Scheduling scientific workflows modelled by Directed Acyclic Graphs (DAG) is an NP
complete problem. Cloud computing provides reliable Quality of Service defined in terms of …

The increasing use of workflows in various fields of science has led to the development of
the Workflow as a Service (WaaS) platform, which provides workflow execution as a service …

With the rapid development of cloud applications, the computing requests of cloud data
centers have increased significantly, consuming a lot of energy, making cloud data centers …