October 13, 2010
IBM’s “Smarter Planet” initiative is far-reaching in scope, covering a large number of verticals across the public and private sector. One critical area for the company is healthcare, but as one might imagine, given the complex regulatory environment for patient data, producing solutions—not to mention finding a swelling, eager audience for them—is a tall order.
As the company explains, albeit generally, in its mini-mission statement on healthcare as a focus, the “smarter approach to healthcare is one that uses information to create real insight into patient care” and that as part of this insight, providing “holistic views” of patient data is key.
This year IBM has made a number of advances to improve the delivery of health information via the use of internal private clouds and partnerships aimed at creating software that can handle the complex data and security requirements. For instance, back in August they partnered with ActiveHealth, a subsidiary of Aetna, to deliver a cloud-based, on-demand clinical decision support suite called the “Collaborative Care Solution.”
One of IBM’s most recent forays into private clouds for healthcare is with their newly-announced contract with McGill University Health Center in Montreal, Canada. For this, the company is providing a private storage cloud to securely store increasing amounts of data. According to an article in the Montreal Gazette on the topic, “the MUHC estimates that over the next five years clinical images and electronic files will consume more than 500 terabytes of data—all of which must be available for clinicians’ access 24/7.”
This cloud would, in effect, allow the hospital system to consolidate their disparate storage resources to provide on-demand access for clinicians without tying them to particular locations.
IBM’s VP for the healthcare segment, Barry Burk, noted that “the cloud computing model is particularly applicable to healthcare applications because of the volume of dynamic and diverse sources for information.” He also states that making use of the cloud allows hospitals across the system to share information and with IBM’s support, in a secure manner—a critical issue when dealing with life sciences data, whether personal health-related or otherwise. Burk went on to explain that, “these flexible networks will be scalable in integrating and sharing services and data, which will help reduce costs.”
Full story at Montreal Gazette
Researchers from the Suddhananda Engineering and Research Centre in Bhubaneswar, India developed a job scheduling system, which they call Service Level Agreement (SLA) scheduling, that is meant to achieve acceptable methods of resource provisioning similar to that of potential in-house systems. They combined that with an on-demand resource provisioner to ensure utilization optimization of virtual machines.
Experimental scientific HPC applications are continually being moved to the cloud, as covered here in several capacities over the last couple of weeks. Included in that rundown, Co-founder and CEO of CloudSigma Robert Jenkins penned an article for HPC in the Cloud where he discussed the emergence of cloud technologies to supplement research capabilities of big scientific initiatives like CERN and ESA (the European Space Agency)...
When considering moving excess or experimental HPC applications to a cloud environment, there will always be obstacles. Were that not the case, the cost effectiveness of cloud-based HPC would rule the high performance landscape. Jonathan Stewart Ward and Adam Barker of the University of St. Andrews produced an intriguing report on the state of cloud computing, paying a significant amount of attention to the problems facing cloud computing.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.