August 10, 2011
A group of over 70 of the world’s authorities on cloud computing have released a policy and IT implementation guide to aid governments as they consider a move to cloud infrastructures.
The resource guide, called the “Cloud First Buyer’s Guide for Government” was spearheaded by SAP’s global solutions unit lead, Sanjay Poonen and Salesforce CEO, Marc Benioff following the U.S. government’s announcement of the CLOUD2 initiative.
A number of experts have weighed in on resource guide for government adoption of cloud computing, including members of the TechAmerica Foundation and leaders from Amazon, IBM, Microsoft, Red Hat, Cisco, HP, CSC and academics from Georgetown University and MIT.
Given the heavy vendor involvement in the Cloud Buyer’s Guide (not to mention the name), SAP’s Poonen claims that it is not a sales document. He says, “Government all over are looking to save costs and improve time to market for IT, and cloud has captured a lot of their interest.” He insists that the document is merely a roadmap to help government officials determine if cloud computing is suitable for their operations and if so, it offers them an on-ramp and set of strategies to explore the concept further.
In addition to providing a series of best practices guidelines for a number of decision-making levels within the government, Poonen says that this product of over 2,000 hours of work puts focus on four areas—all of which address different layers of concern that governments have expressed about cloud computing.
These areas include trust (privacy, security and reliability); transparency (ways for governments to monitor cloud implementations); transformation (the required “shift in thinking” outside of traditional infrastructure) and concerns about trans-national data flows (addressing potential U.S. leadership in creating healthy ways of moving data across borders).
Full story at Integration Developer News
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Read more...
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
Read more...
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.