December 12, 2011
Amazon S3 takes top spot with Microsoft Azure taking No. 2 in Nasuni's 26-month test of 16 major cloud storage providers
NATICK, Mass., Dec. 12 — Nasuni, a next-generation enterprise storage company, today released the results of a 26-month intensive stress test of 16 major cloud storage providers (CSPs). Only six of the 16 CSPs tested provided the minimum level of performance, stability, availability and scalability that organizations need to take advantage of the cloud for primary storage, data protection and disaster recovery. The Nasuni Stress Tests, which comprise multiple use cases, mark the most extensive research done to date to gauge CSPs' effectiveness in real world use.
The six CSPs that passed were:
Two CSPs emerged as top performers in the Nasuni study: Amazon S3 and Microsoft Windows Azure, with Amazon S3 being the standout across all evaluation areas.
Since April 2009, Nasuni has conducted ongoing tests of the 16 largest CSPs. These tests are tiered so each CSP must pass the first test before proceeding to the next test. The five testing stages are as follows:
Though Nirvanix was 17 percent faster than Amazon S3 for reading large files, and Microsoft Azure was 12 percent faster when it comes to writing files, no other vendor posted the kind of consistently fast service across all file types as did Amazon S3.
Amazon S3 had the fewest outages and best uptime, and was the only CSP to post a 0.0 percent error rate in both writing and reading objects during scalability testing. And though Microsoft Azure had a slightly faster average ping time than Amazon S3 (likely because Amazon S3 is much more heavily used than Microsoft Azure), Amazon nevertheless had the lowest variability.
The Nasuni Stress Test of CSPs is an ongoing process, so these standings could change in future reports. To view the Nasuni Stress Tests of Cloud Service Providers, visit www.nasuni.com/cloudreport.
Nasuni, a next-generation enterprise storage company, delivers Data Continuity Services that offer a new breed of data protection, accessibility and support to organizations that require their data be accessible 100 percent of the time with no risk of data loss. Nasuni offers IT an all-in-one solution that unifies primary data storage, offsite disaster recovery, data backup and global access with a 100 percent reliability guarantee that is supported by the industry's most stringent services level agreement. With Nasuni, organizations can simplify IT, ensure business continuity, and reduce the total cost of storage. For more information, visit www.nasuni.com.
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.
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).
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.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
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.