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 …

Efficient task and workflow scheduling are very important for improving resource
management and reducing power consumption in cloud computing data centers (DCs) …

Task scheduling, which plays a vital role in cloud computing, is a critical factor that
determines the performance of cloud computing. From the booming economy of information …

Cloud workflow scheduling is significantly challenging due to not only the large scale of
workflow but also the elasticity and heterogeneity of cloud resources. Moreover, the pricing …

Cloud computing provides promising platforms for executing large applications with
enormous computational resources to offer on demand. In a Cloud model, users are …

Compared to traditional distributed computing environments such as grids, cloud computing
provides a more cost-effective way to deploy scientific workflows. Each task of a scientific …

Workflow scheduling is a largely studied research topic in cloud computing, which targets to
utilize cloud resources for workflow tasks by considering the objectives specified in QoS. In …

Cloud workflow scheduling is a significant topic in both commercial and industrial
applications. However, the growing scale of workflow has made such a scheduling problem …

The advent of Cloud computing as a new model of service provisioning in distributed
systems encourages researchers to investigate its benefits and drawbacks on executing …

Large-scale applications expressed as scientific workflows are often grouped into
ensembles of inter-related workflows. In this paper, we address a new and important …