Efficient task and workflow scheduling are very crucial for increasing performance, resource
utilization, customer satisfaction, and return of investment for cloud service providers. Based …

With the deployment of workflow and other applications, cloud computing is accessible and
offers assistance for optimizing workflow execution and enhancing performance. Existing …

Recent trends show that cloud computing is growing to span more and more globally
distributed datacenters. For geo-distributed datacenters, there is an increasingly need for …

This systematic review offers a comprehensive analysis of scheduling algorithms designed
for scientific workflows, particularly those handling Big Data. By examining research …

Recent developments in cloud computing and big data have spurred the emergence of data-
intensive applications for which massive scientific datasets are stored in globally distributed …

Many scientific workflow applications are moving to clouds. A scientific workflow is a
complicated scientific computing task consisting of many sub-tasks, and each sub-task …

Infrastructure as a service (IaaS) clouds offer huge opportunities to solve large-scale
scientific problems. Executing workflows in such environments can be expensive in time if …

With the evolution of cloud computing, communities and companies deployed their
workflows on cloud to support end-to-end business processes that are usually syndicated …

Scientific workflow usually needs to be performed in multiple collaborative datacenters for
the requirement of accessing community-wide resources. However, the movements of initial …

Scientific workflows have become a standardized way for scientists to represent a set of
tasks to overcome/solve a certain scientific problem. Usually these workflows consist of …