Nowadays, more and more computer-based scientific experiments need to handle massive
amounts of data. Their data processing consists of multiple computational steps and …

Most scientists conduct analyses and run models in several different software and hardware
environments, mentally coordinating the export and import of data from one environment to …

This collection of articles on 'Work? ows for e-Science'is very timely and-portant.
Increasingly, to attack the next generation of scienti? c problems, multidisciplinary and …

Life sciences research is based on individuals, often with diverse skills, assembled into
research groups. These groups use their specialist expertise to address scientific problems …

Advances in computer technologies have enabled scientists to explore research issues in
their respective domains at scales greater and finer than ever before. The availability of …

We discuss the development and application of Web‐service‐based geographical
information system (GIS) Grids. Following the WS‐I+ approach of building Grids on Web …

Grid workflows can be seen as special scientific workflows involving high performance
and/or high throughput computational tasks. Much work in grid workflows has focused on …

Deep learning is a very computing-intensive and time-consuming task. It needs an amount
of computing resource much greater than a single machine can afford to train a …

In this paper, we propose BeeFlow-an in situ analysis enabled workflow management
system across multiple platforms using Docker containers. BeeFlow can support both …

Workflow systems often present the user with rich interfaces that express all the capabilities
and complexities of the application programs and the computing environments that they …