IBM today announced it is collaborating with Deutsches Elektronen-Synchrotron (DESY), a leading national research center in Germany, to speed up management and storage of massive volumes of x-ray data. The planned Big Data and Analytics architecture based on IBM software defined technology can handle more than 20 gigabyte per second of data at peak performance and help scientists worldwide gain faster insights into the atomic structure of novel semiconductors, catalysts, biological cells and other samples.
DESY's 1.7 mile-long PETRA III accelerator is a super microscope that speeds up electrically charged particles nearly to the speed of light – approximately 186,000 miles per second – and sends them through a tight magnetic slalom course to generate the most brilliant x-ray radiation of its kind. This synchrotron radiation is used by more than 2,000 scientists each year to examine the internal structure of a variety of materials with atomic resolution. A key challenge in this process is storing and handling huge volumes of X-ray data.
"A typical detector generates a data stream of about 5 Gigabit per second, which is about the data volume of one complete CD-ROM per second," said Dr. Volker Gülzow, head of DESY IT. "And at PETRA III we do not have just one detector, but 14 beamlines equipped with many detectors, and they are currently being extended to 24. All this Big Data must be stored and handled reliably."
DESY is addressing this Big Data challenge with the help of IBM Research and IBM Software Defined Storage technology code name Elastic Storage that can scale easily to store and handle more than 20 Gigabyte of data flowing every second from PETRA III. Elastic Storage can provide scientists with high-speed access to increasing volumes of research data. This architecture will allow DESY to develop an open ecosystem for research and offer analysis-as-a-service and cloud solutions to its users worldwide.
"IBM's software defined storage technologies can provide DESY the scalability, speed and agility it requires to morph into a real-time analytics service provider." said Jamie Thomas, General Manager Storage and Software Defined Systems, IBM. "IBM can take the experience gained at DESY and transfer it to other fields of data intensive science such as astronomy, climate research and geophysics and design storage architectures for the analysis of data generated by distributed detectors and sensors."
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