Today Cray announced a strategic alliance with Leidos to develop, market, and sell Multi-Level Security (MLS) solutions that include the Cray CS series of cluster supercomputers to Federal and commercial customers. “We look forward to working with Cray to evolve the capabilities and technologies necessary to offer innovative, robust MLS solutions,” said Keith Johnson, Leidos Defense & Intelligence chief technology officer. “We remain committed to delivering the best technology and efficiencies that directly support our customer’s most pressing requirements.”
SELinux at Lockheed: A New Multi-Level Security Initiative
September 23, 2015 by
“Historically cyber security in HPC has been limited to detecting intrusions rather than designing security from the beginning in a holistic, layered approach to protect the system. SELinux has provided the needed framework to address cyber security issues for a decade, but the lack of an HPC and data analysis eco-system based on SELinux and the perception that the resulting configuration is “hard” to use has prevented SELinux configurations from being widely accepted. This presentation will discuss the eco-system that has been developed and certified, debunk the “hard” perception, and illustrate approaches for both government and commercial applications.”
Radio Free HPC Previews Tutorials at SC15
September 4, 2015 by
In this podcast, the Radio Free HPC team previews three of the excellent Tutorial sessions coming up at SC15. “The SC tutorials program is one of the highlights of the SC Conference series, and it is one of the largest tutorial programs at any computing-related conference in the world. It offers attendees the chance to learn from and to interact with leading experts in the most popular areas of high performance computing (HPC), networking, and storage.”
ClusterStor Solution for HPC and Big Data
March 5, 2015 by
The ClusterStor SDA is built on Seagate’s successful ClusterStor family of high performance storage solutions for HPC and Big Data, providing unmatched file system performance, optimized productivity and the HPC industry’s highest levels of efficiency, reliability, availability and serviceability. Taking full advantage of the Lustre file system, Seagate ClusterStor is designed for massive scale-out performance and capacity, with the ability to support from hundreds to tens-of-thousands of client compute nodes delivering data intensive workload throughput from several GB/sec to over 1TB/sec.
Seagate ClusterStor Secure Data Appliance
February 24, 2015 by
The Seagate ClusterStor Secure Data Appliance (SDA) is the HPC industry’s first scale-out secure storage system officially ICD-503 certified to consolidate multiple previously isolated systems, maintain data security, enforce security access controls, segregate data at different security levels, and provide audit trails, all in a single scale-out file system with proven linear performance and storage scalability.
Developing Multilevel Security (MLS) Framework
February 18, 2015 by
This is the third article in a series designed to address the needs of government and business or collaborative and secure information sharing within a Multilevel Security (MLS) framework. Learn the key elements of a workable Multilevel Security framework.
Addressing the Problem with Collaborative Secure Data Sharing
February 10, 2015 by
As you’ve increasingly seen in news headlines, secure access to shared data is not only an issue for Federal and local government agencies and the Intelligence Community – it has also become an issue for business enterprises needing to protect their intellectual property and other sensitive business data while engaging on a global scale with their partners and contractors.
Deploying Collaborative Multilevel Security at Big Data and HPC Scale
February 3, 2015 by
This article series is the first to explore the Seagate ClusterStor™ Secure Data Appliance, which is designed to address government and business enterprise need for collaborative and secure information sharing within a Multilevel Security (MLS) framework at Big Data and HPC Scale. Compared to prior methods, this provides vast cost savings in reduced capital equipment and networks as well as reduced operational complexity, floor space, weight, power, and cooling while satisfying today’s requirements for performance, collaborative secure data sharing, and availability.
