The FutureGrid Project (for citation see Section Citation for Publications.) makes it possible for researchers to tackle complex research challenges in computer science related to the use and security of grids and clouds. These include topics ranging from authentication, authorization, scheduling, virtualization, middleware design, interface design, and cybersecurity, to the optimization of grid-enabled and cloud-enabled computational schemes for researchers in astronomy, chemistry, biology, engineering, atmospheric science and epidemiology. The project team provides a significant new experimental computing grid and cloud test-bed, named FutureGrid, to the research community, together with user support for third-party researchers conducting experiments on FutureGrid.
The test-bed makes it possible for researchers to conduct experiments by submitting an experiment plan that is then executed via a sophisticated workflow engine, preserving the provenance and state information necessary to allow reproducibility.
The test-bed also includes a geographically distributed set of heterogeneous computing systems, a data management system that holds both metadata and a growing library of software images, and a dedicated network allowing isolatable, secure experiments. The test-bed supports virtual machine-based environments, as well as native operating systems for experiments aimed at minimizing overhead and maximizing performance. The project partners integrate existing open-source software packages to create an easy-to-use software environment that supports the instantiation, execution, and recording of grid and cloud computing experiments.
One of the goals of the project is to understand the behavior and utility of cloud computing approaches. Researchers are able to measure the overhead of cloud technology by requesting linked experiments on both virtual and bare-metal systems. FutureGrid enables US scientists to develop and test new approaches to parallel, grid, and cloud computing, and compare and collaborate with international efforts in this area. The FutureGrid project provides an experimental platform that accommodates batch, grid, and cloud computing, allowing researchers to attack a range of research questions associated with optimizing, integrating and scheduling the different service models. The FutureGrid also provides a test-bed for middleware development and, because of its private network, allows middleware researchers to do controlled experiments under different network conditions and to test approaches to middleware that include direct interaction with the network control layer. Another component of the project is the development of benchmarks appropriate for grid computing, including workflow-based benchmarks derived from applications in astronomy, bioinformatics, seismology, and physics.
The FutureGrid forms part of NSF’s high-performance cyberinfrastructure. It increases the capability of the XSEDE to support innovative computer science research requiring access to lower levels of the grid software stack, the networking software stack, and to virtualization and workflow orchestration tools.
Education and broader outreach activities include the dissemination of curricular materials on the use of FutureGrid, pre-packaged FutureGrid virtual machines configured for particular course modules, and educational modules based on virtual appliance networks and social networking technologies that focus on education in networking, parallel computing, virtualization and distributed computing. The project advances education and training in distributed computing at academic institutions with less diverse computational resources. It does this through the development of instructional resources that include preconfigured environments that provide students with sandboxed virtual clusters. These can be used for teaching courses in parallel, cloud, and grid computing. Such resources also provide academic institutions with a simple opportunity to experiment with cloud technology to see if such technology can enhance their campus resources. The FutureGrid project leverages the fruits of several software development projects funded by the National Science Foundation and the Department of Energy.
FutureGrid allows you to easily create a project and use FG resources. All you need to do is to create a portal account and apply for a project. Detailed information is provided in the section Project and Account Management.
Currently, FutureGrid provides a number of different services. However, not all services are offerd on all of the FG resources. To find out how the machines are used please see the Section Status. The following services are most popular with our users
FutureGrid includes a geographically distributed set of heterogeneous computing systems, data management systems, and dedicated networks. These resources are provided by different institutions across the United States. Detailed information on the different sites can be found in the section Hardware.
We have the following activities that help you with FutureGrid.
The best place to start obtaining information about FutureGrid is this expanding Manual.
In case you have a useful contribution, you can simply comment on each page, or if you like to create a chapter to be included, please
Community pages can also be used to report on elaborate experiment results. Once you are done with your contribution, please
to us so we can make it more prominently visible in the portal.
Based on advice from other projects we have established a number of
To post to the forum, you must create a portal account.
To create a ticket for FutureGrid support, please use our
in which you describe problems like feature request, or bug report. A ticket will be automatically generated and you’ll receive an auto-reply mail with the ticket number for further reference. FutureGrid staff will look into the ticket and work on it. You will receive updates and verdicts via email, upon the completion of the investigation. Please be aware that feedback may not be instantaneous. Tickets you have submitted can be viewed in your