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 …

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 …

Distributed scientific workflow management systems processing large data sets in the Cloud
face the following challenges:(a) workflow tasks require different capabilities from the …

To program in distributed computing environments such as grids and clouds, workflow is
adopted as an attractive paradigm for its powerful ability in expressing a wide range of …

Cloud Computing provides an attractive execution environment for scientific workflow
execution. However, due to the increasingly high charge cost of using cloud service, cost …

Scientific workflows, like other applications, benefit from the cloud computing, which offers
access to virtually unlimited resources provisioned elastically on demand. In order to …

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 …

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 …

Cloud computing enables the delivery of computing, software, storage, and data access
through web browsers as a metered service. In addition to commercial applications, an …

Cloud computing is a technology that is being used by scientists for the execution of huge
scale workflows as it has various features such as availability, faster, cheaper, elasticity, and …