GridSpace is a novel virtual laboratory framework enabling researchers to conduct virtual experiments on Grid-based resources and other HPC infrastructures. Current generation of GridSpace – GridSpace2 facilitates exploratory development of experiments by means of scripts which can be expressed in a number of popular languages, including Ruby, Python and Perl. The framework supplies a repository of gems enabling scripts to interface low-level resources such as PBS queues, EGEE computing elements, LFC directories and other types of Grid resources. Moreover, GridSpace2 provides a Web 2.0-based Experiment Workbench supporting joint development and execution of virtual experiments by groups of collaborating scientists. More ...
Publications related to GridSpace.
Data streams from sensors (e.g. dike sensors, volcano sensors) need to be processed in various ways in order to analyze a current trend, make a prediction, validate a model, or recommend an action. Applications that do this processing, implement sophisticated simulation models and are computationally intensive. Common Information Space (CIS) is an infrastructure for high-performance and high-throughput processing of sensor data streams and an environment for end-users to run applications and manage their results. More ...
Publications related to CIS.
The Atmosphere component is responsible for maintaining an interface between the end-user tools developed in the More ...and the underlying hardware resources required to perform complex computations in a distributed Cloud environment. The Atmosphere approach is not to develop low-level cloud middleware or services, but rather to build on top of existing solutions – thus, Atmosphere integrates resources acquired from commercial IaaS providers (e.g. Amazon EC2) with privately-deployed open-source cloud platforms (e.g. OpenStack). The result is a hybrid Cloud infrastructure on which VPH collaboration partners can expose and access domain-oriented computational and data storage services representing various areas of medical science.
Publications related to Atmosphere.
QUaTRO is a tool for query construction and execution over RDF data leveraging OWL data model. The tool was designed to work with arbitrary ontology and a variety of RDF data sources. The query construction model aims at providing high expressiveness while maintaining an easy to use graphical interface.
Publications related to QUaTRO2.