MapReduce Operations with WS-VLAM Workflow Management System

AbstractWorkflow management systems are widely used to solve scientific problems as they enable orchestration of remote and lo- cal services such as database queries, job submission and running an application. To extend the role that workflow systems play in data-intensive science, we propose a solution that integrates WMS and MapReduce model. In this paper, we discuss possible solution of combining MapReduce and workflow applications, we describe the implementation of chosen solution based on metaprogramming approach in Ruby programming language and evaluate it with an example of word count application

Support for multiscale simulations with molecular dynamics

We present a reusable solution that supports users in combining single-scale models to create a multiscale application. Our approach applies several multiscale programming tools to allow users to compose multiscale applications using a graphical interface, and provides an easy way to execute these multiscale applications on international production infrastructures. Our solution extends the general purpose scripting approach of the GridSpace platform with simple mechanisms for accessing production resources, provided by the Application Hosting Environment (AHE). We apply our support solution to construct and execute a multiscale simulation of clay-polymer nanocomposite materials, and showcase its benefit in reducing the effort required to do a number of time-intensive user tasks. © 2013 The Authors. Published by Elsevier B.V

Enabling web services to consume and produce large datasets

Service-oriented architectures and Web services are well-established paradigms for developing distributed applications. However, Web services face problems when accessing, moving, and processing large datasets. To address this problem, the authors present ProxyWS, which uses myriad protocols to transport large amounts of data. ProxyWS undertakes data transfers on behalf of legacy Web services and can serve as an interface for developing new Web services that can stream data. Experiments show how this approach facilitates scalable data transports for two data-intensive applications