Speedy communication needed for Azerbaijani GRID-segment's integration in Atlas project
Azerbaijan, Baku, June 18 / corr Trend H.Veliyev /
To accredit the Computing Center of the Azerbaijan National Academy of Sciences (ANAS) Institute of Physics in the Atlas Project Management Center it is necessary to increase capacity of communication channel to 100 Mbps, Institute's senior specialist Farhad Khalilzadeh told Trend.
The capacity of the communication channel for exchanging information between the Physics Institute and European Center for Nuclear Research (CERN) is 25 Mbps, Khalilzadeh added.
"Increasing the capacity of the communication channel by at least 100 Mbps is one of terms for accreditation," he said. "That will enable the center to become a full member of the European distribution network, represented under the European Grid Infrastructure (GRID) project. Relevant work is underway and the issue might be solved by October."
Registration in the Atlas project was intended for key physical experiments at Large Hadron Collider. It will enable the center to act as an independent organization remaining part of the international community, and offer the organizations and companies to benefit advantages of Grid-segment.
Computing capacity of data-center of the Institute of Physics has been set up to process the information flow of the European Center.
According to Khalilzadeh, data-center of the Institute of Physics is capable to use resources of the European distribution network. However, low speed prevents users connected to Atlas to have an access to the Institute's data-center.
A distribution network within the EGI project, consisting of 200,000 computers, located in 33 countries, was launched on September 14. Within the project, the computing power of computers, located in 300 data centers, will be used.
Presently, there are about 300 PCs involved in the Azerbaijani segment and these are provided to the Physics Institute by European Center.
An introduction of the Grid segment will allow the institute to process the CERN information flow, using resources of participating countries to solve difficult tasks in national interests. For example, carrying out geological studies to reveal energy resources, medicine, etc.