Invited Keynote

Orchestrating large-scale services with DagOnStar for accelerating the construction of eScience systems

Cloud computing has become a keystone in managing data, enabling the management of large volumes of data. Furthermore, in recent years the combination of edge/fog infrastructures has created distributed environments to accelerate the processing and delivery of information through the computing continuum.  These environments are useful in citizen science scenarios, where scientists and individuals can take advantage of computing continuum devices to perform large-scale analysis and accelerate the generation of information that facilitates faster decision-making.

In this context, we discuss how DagOnStar helps individuals to perform diverse large-scale analyses by providing an easy-to-use programming model. DagOnStar automatizes complex tasks like the deployment of applications, the movement of data through heterogeneous infrastructures, and the delivery of results. It has been used to execute applications through different eScience domains for the management of environmental and health data.

We present the lessons learned from our experience with DagOnStar, which we used to facilitate the participation of individuals in citizen science.