October 30, 2012
"The monolithic database of the past cannot meet the needs of modern applications," said Jerry Chen, Vice President, Cloud and Application Services, VMware. "Proven through nearly a decade of production deployments in some of the most high-availability low-latency applications, VMware vFabric GemFire 7.0 solves difficult data challenges presented by modern, highly distributed web-oriented applications."
With this release, vFabric GemFire enables speed with scalability in the cloud, supporting terabytes of data in-memory and enabling high-performance within enterprise production deployments. Engineered for low latency, vFabric GemFire provides lightning fast, highly available and scalable data access for highly transactional modern applications, allowing businesses to run applications significantly faster than a traditional database.
What's New in VMware vFabric GemFire 7.0:
Leading global 1,000 companies utilize vFabric GemFire including those in the financial services industry, online retail, travel and many others.
VMware vFabric GemFire 7.0 is currently available.
VMware is the leader in virtualization and cloud infrastructure solutions that enable businesses to thrive in the Cloud Era. Customers rely on VMware to help them transform the way they build, deliver and consume Information Technology resources in a manner that is evolutionary and based on their specific needs. With 2011 revenues of $3.77 billion, VMware has more than 400,000 customers and 55,000 partners. The company is headquartered in Silicon Valley with offices throughout the world and can be found online at www.vmware.com.
Source: VMware, Inc.
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.