February 19, 2013
NEWPORT BEACH, Calif., Feb. 19 – Jeda Networks has today unveiled a new framework for future storage networking called Software Defined Storage Networks (SDSN). Jeda Networks has applied virtualization and abstraction to solve the complexity, cost and scalability issues inherent in today’s storage networks. By supplying the last essential piece to a fully virtualized IT infrastructure, Jeda Networks is transforming the way storage is networked in the Cloud era.
Today’s storage networks are complex, expensive and are limited to scale as the applications they support grow at a projected exponential rate. Jeda Networks has created revolutionary SDSN technology, to significantly change the adaptability of current storage networks to readily adjust to this growth. Jeda is the first company to take a pure software approach, applying Software Defined Network (SDN) technology, to address current limitations inherent in today’s storage networks. Jeda’s SDSN resides within the network, abstracting the essential services of the storage network from the underlying physical network significantly simplifying management tasks allowing for much larger scaled networks.
As the “killer app” for Software Defined Networks (SDN), Jeda Network’s highly scalable SDSN software can be applied to any storage network from the smallest rack of only a few systems to the largest Cloud Data Centers. For small deployments, SDSN simplifies the deployment of the storage network with the added benefit of utilizing standard management software more readily available and less expensive than the proprietary management software required in many environments today. Jeda Networks’ software can also be deployed in the largest Data Centers where scalable enterprise block storage resource pools are not readily available due to storage network real-time scalability issues.
“Jeda Networks' approach is unique and has a chance to be a truly disruptive force in the market today,” said analyst Deni Connor, Founding Analyst with StorageStrategies. “Jeda Networks is taking what has traditionally been a hardware play and turning storage networking into a simple, elegant software solution that gives organizations more flexibility and scalability in today’s virtual environments.”
Jeda Networks’ lead lies in the fact that its solution works with many existing physical network components such as standard Ethernet switches and standard 10Gb/s Ethernet adapters – no additional software and no specialized hardware is required. The forward-thinking enterprises looking to leverage SDN’s benefits to storage now have access to the key enabler – the virtualized storage network. Jeda Networks gives organizations, for the first time, a new, far less complex approach to storage networking easily adapting to the next generation of applications such as database, data mining, Big Data and rich media requiring high performance storage solutions.
“At Jeda, we are waging war on IT complexity,” said Stuart Berman, CEO and founder of Jeda Networks. “We are offering a fundamental architectural and business model shift in how applications access their storage in the Cloud era. Our technology will lower the cost for both the smallest IT environments as well usher in new capabilities for the largest Cloud Data Centers.”
About Jeda Networks
Comprised of seasoned storage and networking specialists, Jeda Networks is transforming the way applications connect with storage in the Cloud era. Jeda Networks created the Software Defined Storage Network to combat complex, costly and inflexible storage networks. Early test and beta shipments are under way with Jeda Networks customers and partners.
Source: Jeda Networks
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.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
In this week's hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a uniﬁed programming model for diverse data-intensive cloud computing paradigms.
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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.