DocumentCode
3687123
Title
Big Data strategies for Data Center Infrastructure management using a 3D gaming platform
Author
Matthew Hubbell;Andrew Moran;William Arcand;David Bestor;Bill Bergeron;Chansup Byun;Vijay Gadepally;Peter Michaleas;Julie Mullen;Andrew Prout;Albert Reuther;Antonio Rosa;Charles Yee;Jeremy Kepner
Author_Institution
MIT Lincoln Laboratory, 244 Wood St., Lexington, 02420, United States
fYear
2015
Firstpage
1
Lastpage
6
Abstract
High Performance Computing (HPC) is intrinsically linked to effective Data Center Infrastructure Management (DCIM). Cloud services and HPC have become key components in Department of Defense and corporate Information Technology competitive strategies in the global and commercial spaces. As a result, the reliance on consistent, reliable Data Center space is more critical than ever. The costs and complexity of providing quality DCIM are constantly being tested and evaluated by the United States Government and companies such as Google, Microsoft and Facebook. This paper will demonstrate a system where Big Data strategies and 3D gaming technology is leveraged to successfully monitor and analyze multiple HPC systems and a lights-out modular HP EcoPOD 240a Data Center on a singular platform. Big Data technology and a 3D gaming platform enables the relative real time monitoring of 5000 environmental sensors, more than 3500 IT data points and display visual analytics of the overall operating condition of the Data Center from a command center over 100 miles away. In addition, the Big Data model allows for in depth analysis of historical trends and conditions to optimize operations achieving even greater efficiencies and reliability.
Keywords
"Three-dimensional displays","Games","Big data","Cooling","Monitoring","Data visualization","Sensors"
Publisher
ieee
Conference_Titel
High Performance Extreme Computing Conference (HPEC), 2015 IEEE
Type
conf
DOI
10.1109/HPEC.2015.7322471
Filename
7322471
Link To Document