February 22, 2011
Yanpei Chen and Randy H. Katz, both from UC Berkeley, discuss the range of threats to cloud security from multiple perspectives--academia, industry, government and the "black hat" community, arguing that history teaches us that developing security architectures early in the process can pay off greatly as systems evolve and accrue more disparate security requirements. The challenge is to achieve some measure of adequate and affordable security without undermining the economic advantages of cloud computing. Read more…
November 9, 2010
As the popularity of cloud-based applications continues to grow, IT departments will increasingly turn to federated identity as the preferred means for managing access control. The advantage is that it enables the enterprise to maintain full and centralized control over access to all applications, whether internal or external. Read more…
May 19, 2010
Coming up with a list of the top ten threats and concerns in terms of security for HPC in the cloud is the easy part. However, putting that list in an organization-specific order is an exercise in prioritizing issues of not only security, but performance, applications in general, and overall goals. Read more…
October 24, 2008
Anthony Hill, CIO of Golden Gate University, debunks the conventional wisdom on cloud computing security, capital expenses, risk management, switching vendors, and service level agreements. Read more…
Did you miss out on Supercomputing 2017? Did you attend, but were stuck in meetings the whole time without an opportunity to walk the show floor and see what new announcements were being made? HPCwire's got you covered, we visited some of the hottest booths in the exhibit hall and spoke with their top executives to get the scoop on the latest solutions, partnerships, and product announcements.
From mismatches between compute and storage capabilities to colossal data volumes, data storage presents a number of challenges for scientific research. And as silos pop up and challenges expand, the pace of research often suffers.
As genomic data becomes ubiquitous, infrastructure bottlenecks for life sciences organizations are narrowing. But speedy analysis and real-time decision making don't have to remain out of reach: modern end-to-end systems are emerging as flexible solutions for a competitive edge.
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