December 04, 2012
PALO ALTO, Calif., Dec. 4 – ScaleIO, the leader in software-defined storage, today emerged from stealth mode and announced the release of ScaleIO ECS v1.1 scale-out storage software. With ECS v1.0 already successfully deployed by leading enterprises and managed service providers, such as SAP, Check Point Software Technologies, Aer Lingus, OCF accounts, and Colt, ScaleIO brings unprecedented operational flexibility and cost savings to high-performance databases, virtual servers, end-user computing, and high-performance computing.
ScaleIO ECS eliminates the dependence on complex, expensive external SAN storage and fabric by presenting business application servers’ local disks as a robust, high-performance, shared virtual SAN. ECS provides hyper-scalability and enterprise-grade resilience while also reducing storage costs by more than 80%, delivering a direct savings of over 28% on an organization’s total IT budget.
“As enterprises consolidate into mega-data centers and SMEs move to cloud and hosting infrastructures, data centers are rapidly expanding to many thousands of servers. As a result, data center operators face constantly increasing levels of complexity and costs,” explained Boaz Palgi, CEO of ScaleIO. “ECS helps organizations manage these challenges by providing a scale-out storage solution that was designed for hyper-scalability, high performance, unprecedented elasticity, and low total cost of ownership. ECS makes storage as inconspicuous as CPU and RAM. Running seamlessly alongside business applications, ECS enables data centers to be built wall to wall from commodity servers only.”
With ECS, any administrator can add, move, or remove servers and capacity on demand during I/O operations. The software responds automatically to any infrastructure change and rebalances data accordingly across the grid. ECS helps ensure the highest level of enterprise-grade resilience by deploying advanced clustering algorithms whose distributed rebuild capabilities achieve the quickest handling of failures while maintaining maximum storage performance.
Breaking traditional barriers of storage scalability, ECS scales out to hundreds and thousands of nodes. Performance scales linearly with the number of application servers and disks. Deploying ECS in both greenfield and existing data center environments is a simple process and takes only a few minutes.
ECS can be managed from both a command-line interface (CLI) and an intuitive graphical user interface (GUI). ECS v1.1 natively supports all the leading Linux distributions and hypervisors; works agnostically with any SSD or HDD, regardless of type, model, or speed; and runs on x86, ARM, and other chipsets—giving organizations complete freedom of choice. Additional functionality includes encryption at rest and quality of service (QoS) of performance.
"Software-defined storage enables IT organizations to break out of the traditional SAN model that requires a staff of minions to perform mundane storage tasks," commented Matthew Brisse, storage research director at Gartner. "Software-defined storage enables the promise of storage elasticity to match storage needs for traditional, virtual, and service-oriented cloud strategies in response to the ever-changing business requirements found in most IT organizations."
“ScaleIO offers an innovative solution enabling customers to utilize capacity on hundreds of compute nodes and to aggregate that capacity into a single shared LUN,” said Julian Fielden, managing director, OCF. “OCF has deployed and tested ScaleIO ECS on a cluster with several hundred nodes in a large customer's high-performance computing environment. The software made previously unused capacity available to the business applications and to a distributed file system while demonstrating impressive performance and resilience.”
ECS has been successfully deployed in a variety of other environments, including development and testing, virtual desktop infrastructures, high-performance databases, private clouds, and environments competing with Amazon EBS.
ScaleIO ECS v1.1 is available immediately. To see a demo, sign up for a trial, or purchase ECS, go to www.scaleio.com.
About ScaleIO
ScaleIO is the leader in elastic converged storage. ECS, the flagship ScaleIO solution, enables data centers to cut storage costs by over 80% and streamlines storage operations by converging storage into compute. Founded in early 2011 by a team of storage industry veterans who set out to revolutionize enterprise data storage, the company is funded by top-tier venture capital firms, including Greylock Partners and Norwest Venture Partners (NVP). ECS is in use at large data centers in the United States and Europe.
-----
Source: ScaleIO
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...
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.
Read more...
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.
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.