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Researchers Connect Users to Grid Resources


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June 26 -- From searching for cures for disease to monitoring the Earth's atmosphere, grid computing has become essential to data-intensive research. But accessing limited grid resources is not always a simple task. European researchers are making it easier.

Grid computing harnesses the processing and storage power of many different computers to analyse and store huge amounts of data. But just as grid-connected computers -- often numbering in the thousands -- are usually geographically dispersed and heterogeneous, with different processing speeds and operating systems, different grids and networks typically bear little likeness to one another. That can make finding and accessing grid and network resources a costly and time-consuming challenge for the researchers, research institutes and businesses that need them.

"Large grids with enormous processing power connected via high-bandwidth optical networks are essential to many scientific applications today, but establishing dedicated connections to those resources on demand can be a costly process in terms of both time and effort," explains Artur Binczewski, the head of the Networking Department at Poznan Supercomputing and Networking Centre in Poland.

The solution, in the view of a team of European and North American researchers coordinated by Binczewski, is to make grid users and applications dynamically aware of the grid (computer processing power, storage, etc.) and network (bandwidth) resources available as and when they need them.

Bridging the grid and networking worlds

Working in the EU-funded Phosphorus project, the team sought to bridge the networking and grid worlds by developing protocols and software that allow users to obtain a scheduled or immediate high-performance grid connection with a simple, quick and low-cost process.

Their approach relies on the deployment of a Network Service Plane that ensures interoperability between existing Network Resource Provisioning Systems, such as ARGON, DRAC, UCLP-ARGIA and GMPLS, in order to access the local resources of autonomous network domains located in several countries. In addition, the team developed Grid-enabled GMPLS (G2MPLS), an evolution of the ASON/GMPLS connection management architecture and protocols. Their approach makes it easier and faster to find, allocate and provide network and grid resources, whether scheduled in advance or required immediately.

"It is an entirely new model in which network and grid resources make users aware of their availability, whether for five minutes or several days," Binczewski says.

The technology has been proven in four trials in which four data-intensive applications, which utilise grid resources in different ways, were run via the Phosphorus architecture.

"The EU WISDOM project, for example, is using grid computing to search for drugs to treat malaria. It sends a huge number of small files to multiple grid nodes for analysis. On the other hand, the KoDaVis project, which is simulating the Earth's atmosphere, sends large amounts of data in only a few transfers," Binczewski notes.

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