ANAS to increase DATA-center's capacity
By Nigar Orujova
Bandwidth of the communication channel connecting the computer center of the Institute of Physics of the Azerbaijan's National Academy of Sciences to the European Center for Nuclear Research (CERN) is set to increase, the institute said on September 2.
The increase in bandwidth is expected in the near future. Currently, the communication channel bandwidth is 45 Mbits, of which the DATA-center of the Institute receives 25 Mbits. It only covers the needs of the inner GRID segment.
It is expected that the data transfer rate between the Institute
of Physics and CERN will be increased to 1 gigabit, which is
required by the European Center for Nuclear Research.
Increase of the channel capacity will turn the Institute's data
center to a full member of the European WAN provided by the EGI
(European Grid Infrastructure) project. It is also one of the
conditions for the integration of Azerbaijan GRID-segment into the
Atlas project of the European center.
The capacity of the hardware component of the DATA-center
institution increased due to the additionally acquired blade- and
storage-servers. The hardware and software solutions are purchased
from an American ACE Computers company.
"DATA-center of the Institute of Physics of ANAS is the most
powerful one in the South Caucasus," the institute said.
Currently, resources of the DATA-center meet the needs of
structures of the Academy of Sciences that have the ability to
solve high-tech problems using an internal GRID-segment.
Earlier, CERN reported it is interested in expanding cooperation with Azerbaijan.
At present, the cooperation with CERN is being carried out via the Institute of Physics of the Azerbaijan National Academy of Sciences.
The processing capacities of the DATA-center of the Physics Institute are used to process the data flow of the CERN.
Aside from processing the data flow of the CERN, the usage of the Azerbaijani segment allows the institute to use the resources of the participating countries for the solution of time-consuming tasks, in particular in geological studies to identify energy resources, in medicine, and other areas.