August 23, 2010
Security and general performance have been at the heart of questions surrounding the use of cloud storage for small and large-scale enterprises alike. Despite the wealth of benchmarking information available, however, there is still some degree of confusion about choosing and using cloud storage vendors. While Amazon’s S3 appears to be one of the more frequently-used cloud storage options, there are several new vendors appearing in the space, all promising security and top performance, which makes muddling through the marketing more difficult and narrowing a list down to a crucial few more difficult.
Network World has recently been the next to step up to the challenge of evaluating cloud storage vendors and performance in addition to hosting a series to put cloud computing to the test in key areas. It has most recently ended its analysis of cloud storage offerings, including Amazon’s S3, Nasuni Cloud Storage, Nirvanix’s Storage Delivery Network, Cloud Files from Rackspace and Egnyte’s On Demand File Server.
The overall conclusions about cloud storage were based on practical tests (accessing the site using the company’s APIs if they were present) involving the movement of data from VMs at 100Mbps or from their lab which is connected on standard commodity broadband internet. Those conducting the test reported that they “pounded each site with a variety of file sizes ranging from 500KB to 1GB” and that they tested both during day and night to determine if congestion on the internet would have an effect on cloud storage performance. This secondary congestion-related experiment yielded the result that congestion did play a role and that “download speeds were considerably slower than upload speeds for all the vendors tested.”
In general, the authors also found that cloud storage does live up to the hype in two critical areas, claiming that “cloud storage can be fast and the pay-as-you-go model can be a real cost saver.” They also stated that they found that “security could be an issue for enterprise shops as the formulas for trying to predict overall costs can be complex.”
Where cloud storage still fails, however, is in the security arena, at least in the view of the authors, who noted that although security basics were in place, more advanced features that would make those with mission-critical needs more inclined to store their data in the cloud are still missing.
Full story at Network World
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.