February 08, 2013
LONDON, Feb. 8 – Data storage, management and restoration expert, Attix5 is today launching Attix5 Pro V7, a world beating data back-up and storage solution for Private, Public & Hybrid cloud.
Attix5 has put over 13years experience into creating the robust, secure solution for Enterprise clients processing terabytes of data that challenges anything available in the current market. Attix5 Pro V7 uses streaming back-up for faster processing requiring negligible client system resources, and supports all operating platforms including Microsoft, Linux, Mac OSX and Solaris.
Luv Duggal General Manager of Sales (UK) commented, “With data volumes and compliance responsibilities constantly increasing, managing and protecting a company’s data is becoming more critical. With Attix5 Pro V7, we’ve developed a solution that really benefits both our end users and resellers. Key features of the service include the introduction of flexible billing models which support Cap-ex and Op-ex software-as-a-service (SaaS) purchasing preferences, enterprise reporting, backup archiving, de-duplication (target and source based) and management capabilities.”
For Attix5 resellers, the new configuration options make the back-up and restoration experience much simpler for their clients, reducing support calls and giving high customer satisfaction levels. This, combined with a new pricing structure, also gives resellers better margins. Hybrid Cloud enables large organisations to have LAN speed backup and recovery with the additional benefit of offsite copies for disaster recovery purposes.
Andrew Lockwood, Commercial Director for Data Solutions at Daisy Group commented, 'All businesses need to backup and store data, but in too many cases slow and expensive solutions are failing organisations. With its streaming backup and big data capabilities Attix5 Pro V7 is the next generation data solution we've been looking for. It's fast, secure and simple to use. We are really impressed by all of its features and abilities, from de-duplication to recovery.''
Duggal continued, “We’ve improved the Attix5 Pro product across the board, from simplifying the customer interface to dramatically improving back-up speeds. So much so that we are now able to achieve backup and restore speeds of up to 150 MB/s whilst still minimising back-end storage and network utilisation – all of this without compromising any of the security nor quality.”
Attix5 is an international provider of secure data management, storage and restoration, specialising in virtualization and cloud based solutions.
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.